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    • 高中学校: 深圳外国语学校
    • 本科院校: Brandeis University
    • 本科专业: Business, Psychology

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      1、通过一对一及一对多讨论,利用自身成功申请经验帮助学弟学妹挖掘学术及课外活动亮点;
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      1、负责 Regency 家具的广告投放预算管理,使用 Google Analytics 及 Google Adwords 对于网 站流量及其影响因素进行分析,包括各渠道的(如 cpc 关键字广告,邮件营销,友情网站等)点击 率,跳出率,转化率
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      数据整理与统计: 1、制作 IT、医药、服饰、房产、家居五行业的业绩日报,区分具体广告产品,使 用 EXCEL 透视表,vlookup、countif 等功能及函数展现数据走向并总结重点客户及需改进之处; 2、制作手机行业月度报表和 benchmark 报表,具体内容包括收集整理分品牌、操作系统的展现量、点 击量及
    • PS/SOP获得美国TOP50多个学校的本科录取(包括UC Sandiego, UIUC, Northeastern等)

      It was so quiet. I sang every nursery rhyme that came to my mind. Still silence. Neither a glance nor a movement was replied to my dedicated performance. No attention, no words, no responses, welcome to the world of autism. I first met with those quiet children in the summer of 2011 in an autism intervention center. And I was deeply hit by them. The sun scorching outside the window, but inside the house, the atmosphere is as chill as ice. I set my tune in to the sweetest tune and got ready to be strike by a tiny fist, then, I said hello to a little boy. To my surprise, he didn’t punch me; he didn’t act like a startled fawn; he even didn’t give me a glance. That’s a pure feeling of being neglected. My mind extends to their families: a mother worked so had to be pregnant for ten months and finally gave birth. However, when she found that her baby had
    • PS/SOP获得美国TOP30多个学校的本科录取(包括Rice University, Boston College等)

      I am a child of the grassland - Inner Mongolia, the cradle of adventure. “Tighten your brindle,” the wrinkled man - my grandpa said, “clamp the horse, and then stare the direction you want to go.” I tried my best to memorize every word he said because I just want to be perfectly prepared for my ride. I randomly picked a horse, prayed it to be friendly, and climbed up to its back. Thinking about the advice, my grandpa has told me, I slightly kicked its belly. However, to my surprise, I was so light to the horse that it felt nothing. It trotted and then rushed. The sharpened wind blew through my face, and the queue of the other horses backed rapidly. I was in the boundless grassland! I was really panic, but then I tried to calm down and recall what my grandpa had taught me. The first word that appeared to me was “clamp,” so I groveled on the horse and held it tightly. Then, I took a deep breath, slowly sat up, then stretched out my shaking hands to catch therein. 3 centimeters remained, then 2, then 1, I finally got it. I used all my strength to pull the rein backward and shouted: “Yu” (command to stop the horse). Its front legs left th
    • CV获取多个研究生录取及实习offer的简历

      EDUCATION School information Degree SKILLS Search Engine Marketing (SEM) Google Analytics, Google Adwords, Baidu Analytics Data Analysis and Management Microsoft Excel, Airtable, SPSS, MySQL Qualitative Analysis and Management Marketing Mix, SWOT, Porter’s Five Forces, STP Model Project Management Agile Methodology: Scrum Presentation Tools Microsoft PowerPoint, Prezi Language Mandarin (Native Speaker), English (Proficient) PROJECTS Quantitative Research Analysis of JC Penney’s In-store Design: factors to convert purchase intention to action: window display, item visibility, easiness in finding the price tag, aisle width Enhance Millennials’ Shopping Experience in Macy’s: offering student discounts, free refreshments and partnering up with Asian designers Qualitative Analysis Lower-Than-Average Satisfaction Rate of Amazon Employees: finding the balance point to satisfy stockholders, customers, and employees Recommendations for League of Legends’ Expansion in China: mobile game; female-oriented products; social media, s
    • Essay定量数据分析报告,获得A的成绩并在后期申请研究生和求职期间起到了很大的作用。

      Macy's Shopping Experience Report Executive Summary Millennials have surpassed Baby Boomers as the country’s largest living generation. In order to tap into this segmentation, both domestic and global companies hope to figure out the preference and shopping style of millennials, often to no prevail. Our report focuses on the millennial perception of Macy’s, the nation’s largest department store, and attempts to explore what influences millennials’ shopping decisions and spending. The researcher first identified the potential problems that millennials have with Macy’s through interviews, such as Macy’s not containing clothing that are of “millennial style” or that Macy’s is “old-fashioned”. By using exploratory research to generate our survey, The researcher was able to collect a sample of millennials (N = 68) and collected nominal data such as adjectives for Macy’s and their favorite clothing stores, as well as ordinal and interval data for the generation of meaningful statistical tests. The researcher found several significant results, such as millennials see the variety of brands, quality of products, and promotions more important than other attributes. They also shop more frequently at department stores, chain stores, and online stores. Customer reviews and social media/bloggers have a large impact on millennials’ shopping decisions and items that millennials purchase in Macy’s. Our analysis also concluded Asian and Western millennials significantly differ in their satisfaction level of Macy’s shopping attributes and the impact of social media has more influence on Asian millennials. Based on the results The researcher generated, Macy’s can better attract the millennial generation by creating student reward cards, improve customer service to retain customers, and partner up with Asian designers to better penetrate the market of Asian millennials currently in the United States. Introduction In 2015, Macy’s experienced its fifth straight decline in sales, which resulted in the closing of 41 stores across the country. Macy’s admitted that first, second, and third quarters of 2016 sales were decreasing by 7.40 percent, 3.90 percent, 4.22 percent respectively compared to sales of the same quarter of last year. Macy’s blamed “the uncertain direction of consumer spending.” The massive, continuous discounting makes shopping at the department store unexciting. The constant promotion of apparel in department stores reflects the fact that most merchandises are overpriced and have to be on sale to be attractive. In many locations, the stores are poorly merchandised, hard to shop, and average customer service. Moreover, Millennials do not shop at Macy’s anymore due to the surge of fast fashion like Zara, H&M, and Forever 21. The downward price pressure and aggressive expansion from these fast-fashion retailers raise a challenge for department stores. Millennials are reshaping the fashion industry through their shopping habits. As the youngest members of this 19- to 36-year-old group begin to be financially independent, Millennials make up the largest segment and the most potential purchasing power in the fashion industry. Recent research by the Boston Consulting Group found that 50 percent of the Millennials believe brands “say something about who I am, my values, and where I fit in.” Although high quality is important to Millennials, individuality weights more. Thus, it is essential for retailers to successfully align the brands’ missions and values with Millennials’ unconventional consuming rules. Fashion has always been social. However, the definition of what The researcher describes as “social,” by which a few friends meet up for a day of shopping, has expanded. Social media has become a viral platform that Millennials rely on to get opinions when it comes to choosing their outfits. They check fashion blogs, search through photos on Pinterest and Instagram before purchasing. Nowadays, traditional brick-and-mortar retailers like Macy’s, Nordstroms, and JCPenny are challenged by entities such as online retail giants and trendy fast-fashion startups. Young millennials are less likely to shop at traditional department stores because they do not find the shopping experience there “fun” and “exciting.” In this project, The researcher holds to understand Millennials as the most critical segments Macy’s need to have sustainable growth in the coming years. The researcher was particularly interested in their general shopping behaviors/preferences and attitudes toward Macy’s. Not only they are “forming a strong brand and retail-format preferences” but also “have an intentional influence on the behaviors and brand choices of their family and friends, and even strangers” (Barton, Millennial Passions: Food, Fashion, and Friends). Macy’s is known for its high-quality products and a large variety of brands with multiple traditional brick-and-mortar stores throughout the U.S. Nevertheless, in recent years, online shopping and fast-fashion retailers have taken a large slice of the market share of department stores like Macy’s, which trigger us to find out why these new platforms are more appealing to young Millennials. What do young Millennials think about Macy’s? How successfully does Macy’s engage young customers with the brand’s promotions and campaigns? Is it because the styles of the products do not match young customers’ preferences? What influence them in making a purchase decision? What role does individuality play in decision making? Is online shopping more convenient? That there are trendy music and decor in Urban Outfitters and other fast fashion stores? The researcher hoped to find answers to these questions to understand Millennials’ shopping habits as well as to address the problems that Macy’s and many other department stores are encountering. With our findings, the researcher will make some recommendations to help Macy’s identify its valued customers and become more attractive to younger generations. Data Collection Our study was carried out in forms of interview and Survey. Our interview was designed to explore the general shopping pattern and shopping experience of Macy’s customers. Based on the results of the interview, The researcher then developed a full detailed survey to study Macy’s shopping experience further. Interview The purpose of our interviews was to have a general idea of consumers’ shopping preference and their impression on Macy’s and to provide a guideline for our following survey. A few examples of interview questions are “How often do you shop for yourself?”, “how much do you spend each time you shop?”, “What are the most important features of a shopping experience to you?”, “What do you like about Macy’s?”, “What do you hate about Macy’s?” and “Give an example of your shopping experience at Macy’s.” The researcher chose to use convenience sampling for our interview session. Each of the four members in our group conducted a thirty-minute long interview with two friends. Survey Our survey mainly consists of four sections: screening questions asking participant’s age and frequency of shopping at Macy’s, questions asking participant’s general shopping patterns, questions asking participant’s shopping experience at Macy’s, and questions asking participant’s background and preference. The survey was made using Qualtrics and data were analyzed using SPSS. Nominal, ordinal, and interval scales are the most frequently used measurement scales in our survey. The researcher chose to use self-selected sampling for our survey since the survey was sent out via Facebook, WeChat, and Brandeis email, and the data are composed of those who responded. The researcher did highly encourage our friends to fill out the survey. However, there was no compensation in any form provided to respondents and participation was voluntary. The researcher expected most of our respondents to be millennials since our social media accounts had more friends at a similar age as us. There were 110 people in total participating in our survey. Among the 110 participants, 68 of them finished the survey while 42 of them did not. Therefore, the researcher got 68 valid data. 32.4% of them define themselves as “Male,” 64.7% of them define themselves as “Female,” and 2.9% of them define themselves as “Other” (See Table 1). We chose to only include males and females for the convenience of our analysis. 89.7% of participants fall under the 18-24 age range; 8.8% of them fall under the 25-30 age range; 1% of them fall under age range more significant than 30 (See Table 2). Also, 10.3% of participants are White, 4.4% are Black or African American, 83.8% are Asian/Pacific Islander, and 1.5% are other (See Table 3). Results Through this survey, The researcher wanted to find out what people’s general shopping pattern is, how satisfied people are with Macy’s, how much Macy’s performance deviated from the customer expectation and what the potential factors are affecting people’s shopping experience at Macy’s. General Shopping Patterns Comparison of the enjoyment level of shopping at different types of stores The researcher used a matched pairs t-test to find out where respondents generally prefer to shop at (Q7). The researcher asked our respondents to rate how frequently they shop at department stores (M=6.54), chain stores (M=6.57), boutiques (M=6.53), budget stores (M=6.88), second-hand stores (M=7.19) and shopping online (M=7.37) (See Table 4). The researcher compared one place with another, and The researcher found nine pairs significantly different from another on respondents’ enjoyment level. Pair 2: Department Store - Boutique: There is a significant difference in the enjoyment level between shopping at department stores and boutique stores, t(67)=5.222, p=.001 (See Table 5). Respondents prefer to shop at department stores more than boutiques. Pair 3: Department Store - Budget: There is a significant difference in the enjoyment level between shopping at department stores and budget stores, t(67)=7.384, p=.001(See Table 5). Respondents prefer to shop at department stores more than budget stores. Pair 4: Department Store - Secondhand: There is a significant difference in the enjoyment level between shopping at department stores and secondhand stores, t(67)=7.997, p=.001(See Table 5). Respondents prefer to shop at department stores more than second-hand stores. Pair 6: Chain Store - Boutique: There is a significant difference in the enjoyment level between shopping at chain stores and boutiques. t(67)=5.189, p=.001(See Table 5). Respondents prefer to shop at chain stores more than boutiques. Pair 7: Chain Store - Budget: There is a significant difference in the enjoyment level between shopping at chain stores and boutiques. t(67)=7.574, p=.001(See Table 5). Respondents prefer to shop at chain stores more than budget stores. Pair 8: Chain Store - Secondhand: There is a significant difference in the enjoyment level between shopping at chain stores and second-hand stores. t(67)=8.959, p=.001(See Table 5). Respondents prefer to shop at chain stores more than second-hand stores Pair 12: Boutique - Online: There is a significant difference in the enjoyment level between shopping at boutiques and online stores. t(67)=-6.305, p=.001(See Table 5). Respondents prefer to shop online more than at boutiques. Pair 14: Budget - Online: There is a significant difference in the enjoyment level between shopping at boutique and online. t(67)=-8.159, p=.001(See Table 5). Respondents prefer to shop online more than at budget stores. Pair 15: Secondhand - Online: There is a significant difference in the enjoyment level between shopping at secondhand stores and online. t(67)=-8.961, p=.001(See Table 5). Respondents prefer to shop online more than at secondhand stores. Overall, respondents prefer to shop at department stores, chain stores, and online the most. Comparison of the level of importance between different attributes of a shopping experience The researcher wanted to find the attributes that were the most important of a shopping experience to our respondents (Q9). The attributes included the variety of brands (M=6.24), customer service (M=6.5), store arrangement (M=6.15), accessibility of location (M=7.1), promotions (M=6.97), and store hours (M=5.44) (See Table 6). However, as the researcher collected our data, six responses were missing from variable “store hours.” Thus, the researcher decided to exclude “store hours” to make the test more accurate and consistent. The researcher used a matched pairs t-test for a table of rating scores (an interval variable) and compared means of different attributes. There were five pairs of attributes that The researcher found significant differences in the importance level to the respondents. Pair 1: Variety of Brands - Accessibility of Location: There is a significant difference in the importance level between the variety of brands and accessibility of location, t(67)=-3.045, p=.003 (See Table 7). Respondents value accessibility of location more than the variety of brands. Pair 4: Variety of Brands - Promotions: There is a significant difference in the importance level between the variety of brands and promotions, t(67)=-2.062, p=.043 (See Table 7). Respondents value promotions more than the variety of brands. Pair 8: Store Arrangement - Accessibility of Location: There is a significant difference in the importance level between store arrangement and accessibility of location, t(67)= -4.745, p=.001 (See Table 7). Respondents value accessibility of location more than store arrangement. Pair 9: Store Arrangement - Promotions: There is a significant difference in the importance level between store arrangement and promotions, t(67)=-2.794, p=.007 (See Table 7). Respondents value promotions more than store arrangement. Based on the result, respondents value accessibility of location and promotions more than the variety of brands and store arrangement. Comparison of the influence of social media platforms on making a purchase decision The researcher asked respondents to rate the influence level of different factors on making a purch

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    PS/SOP获得美国TOP50多个学校的本科录取(包括UC Sandiego, UIUC, Northeastern等)

    It was so quiet. I sang every nursery rhyme that came to my mind. Still silence. Neither a glance nor a movement was replied to my dedicated performance. No attention, no words, no responses, welcome to the world of autism. I first met with those quiet children in the summer of 2011 in an autism intervention center. And I was deeply hit by them. The sun scorching outside the window, but inside the house, the atmosphere is as chill as ice. I set my tune in to the sweetest tune and got ready to be strike by a tiny fist, then, I said hello to a little boy. To my surprise, he didn’t punch me; he didn’t act like a startled fawn; he even didn’t give me a glance. That’s a pure feeling of being neglected. My mind extends to their families: a mother worked so had to be pregnant for ten months and finally gave birth. However, when she found that her baby had

    PS/SOP获得美国TOP30多个学校的本科录取(包括Rice University, Boston College等)

    I am a child of the grassland - Inner Mongolia, the cradle of adventure. “Tighten your brindle,” the wrinkled man - my grandpa said, “clamp the horse, and then stare the direction you want to go.” I tried my best to memorize every word he said because I just want to be perfectly prepared for my ride. I randomly picked a horse, prayed it to be friendly, and climbed up to its back. Thinking about the advice, my grandpa has told me, I slightly kicked its belly. However, to my surprise, I was so light to the horse that it felt nothing. It trotted and then rushed. The sharpened wind blew through my face, and the queue of the other horses backed rapidly. I was in the boundless grassland! I was really panic, but then I tried to calm down and recall what my grandpa had taught me. The first word that appeared to me was “clamp,” so I groveled on the horse and held it tightly. Then, I took a deep breath, slowly sat up, then stretched out my shaking hands to catch therein. 3 centimeters remained, then 2, then 1, I finally got it. I used all my strength to pull the rein backward and shouted: “Yu” (command to stop the horse). Its front legs left th

    CV获取多个研究生录取及实习offer的简历

    EDUCATION School information Degree SKILLS Search Engine Marketing (SEM) Google Analytics, Google Adwords, Baidu Analytics Data Analysis and Management Microsoft Excel, Airtable, SPSS, MySQL Qualitative Analysis and Management Marketing Mix, SWOT, Porter’s Five Forces, STP Model Project Management Agile Methodology: Scrum Presentation Tools Microsoft PowerPoint, Prezi Language Mandarin (Native Speaker), English (Proficient) PROJECTS Quantitative Research Analysis of JC Penney’s In-store Design: factors to convert purchase intention to action: window display, item visibility, easiness in finding the price tag, aisle width Enhance Millennials’ Shopping Experience in Macy’s: offering student discounts, free refreshments and partnering up with Asian designers Qualitative Analysis Lower-Than-Average Satisfaction Rate of Amazon Employees: finding the balance point to satisfy stockholders, customers, and employees Recommendations for League of Legends’ Expansion in China: mobile game; female-oriented products; social media, s

    Essay定量数据分析报告,获得A的成绩并在后期申请研究生和求职期间起到了很大的作用。

    Macy's Shopping Experience Report Executive Summary Millennials have surpassed Baby Boomers as the country’s largest living generation. In order to tap into this segmentation, both domestic and global companies hope to figure out the preference and shopping style of millennials, often to no prevail. Our report focuses on the millennial perception of Macy’s, the nation’s largest department store, and attempts to explore what influences millennials’ shopping decisions and spending. The researcher first identified the potential problems that millennials have with Macy’s through interviews, such as Macy’s not containing clothing that are of “millennial style” or that Macy’s is “old-fashioned”. By using exploratory research to generate our survey, The researcher was able to collect a sample of millennials (N = 68) and collected nominal data such as adjectives for Macy’s and their favorite clothing stores, as well as ordinal and interval data for the generation of meaningful statistical tests. The researcher found several significant results, such as millennials see the variety of brands, quality of products, and promotions more important than other attributes. They also shop more frequently at department stores, chain stores, and online stores. Customer reviews and social media/bloggers have a large impact on millennials’ shopping decisions and items that millennials purchase in Macy’s. Our analysis also concluded Asian and Western millennials significantly differ in their satisfaction level of Macy’s shopping attributes and the impact of social media has more influence on Asian millennials. Based on the results The researcher generated, Macy’s can better attract the millennial generation by creating student reward cards, improve customer service to retain customers, and partner up with Asian designers to better penetrate the market of Asian millennials currently in the United States. Introduction In 2015, Macy’s experienced its fifth straight decline in sales, which resulted in the closing of 41 stores across the country. Macy’s admitted that first, second, and third quarters of 2016 sales were decreasing by 7.40 percent, 3.90 percent, 4.22 percent respectively compared to sales of the same quarter of last year. Macy’s blamed “the uncertain direction of consumer spending.” The massive, continuous discounting makes shopping at the department store unexciting. The constant promotion of apparel in department stores reflects the fact that most merchandises are overpriced and have to be on sale to be attractive. In many locations, the stores are poorly merchandised, hard to shop, and average customer service. Moreover, Millennials do not shop at Macy’s anymore due to the surge of fast fashion like Zara, H&M, and Forever 21. The downward price pressure and aggressive expansion from these fast-fashion retailers raise a challenge for department stores. Millennials are reshaping the fashion industry through their shopping habits. As the youngest members of this 19- to 36-year-old group begin to be financially independent, Millennials make up the largest segment and the most potential purchasing power in the fashion industry. Recent research by the Boston Consulting Group found that 50 percent of the Millennials believe brands “say something about who I am, my values, and where I fit in.” Although high quality is important to Millennials, individuality weights more. Thus, it is essential for retailers to successfully align the brands’ missions and values with Millennials’ unconventional consuming rules. Fashion has always been social. However, the definition of what The researcher describes as “social,” by which a few friends meet up for a day of shopping, has expanded. Social media has become a viral platform that Millennials rely on to get opinions when it comes to choosing their outfits. They check fashion blogs, search through photos on Pinterest and Instagram before purchasing. Nowadays, traditional brick-and-mortar retailers like Macy’s, Nordstroms, and JCPenny are challenged by entities such as online retail giants and trendy fast-fashion startups. Young millennials are less likely to shop at traditional department stores because they do not find the shopping experience there “fun” and “exciting.” In this project, The researcher holds to understand Millennials as the most critical segments Macy’s need to have sustainable growth in the coming years. The researcher was particularly interested in their general shopping behaviors/preferences and attitudes toward Macy’s. Not only they are “forming a strong brand and retail-format preferences” but also “have an intentional influence on the behaviors and brand choices of their family and friends, and even strangers” (Barton, Millennial Passions: Food, Fashion, and Friends). Macy’s is known for its high-quality products and a large variety of brands with multiple traditional brick-and-mortar stores throughout the U.S. Nevertheless, in recent years, online shopping and fast-fashion retailers have taken a large slice of the market share of department stores like Macy’s, which trigger us to find out why these new platforms are more appealing to young Millennials. What do young Millennials think about Macy’s? How successfully does Macy’s engage young customers with the brand’s promotions and campaigns? Is it because the styles of the products do not match young customers’ preferences? What influence them in making a purchase decision? What role does individuality play in decision making? Is online shopping more convenient? That there are trendy music and decor in Urban Outfitters and other fast fashion stores? The researcher hoped to find answers to these questions to understand Millennials’ shopping habits as well as to address the problems that Macy’s and many other department stores are encountering. With our findings, the researcher will make some recommendations to help Macy’s identify its valued customers and become more attractive to younger generations. Data Collection Our study was carried out in forms of interview and Survey. Our interview was designed to explore the general shopping pattern and shopping experience of Macy’s customers. Based on the results of the interview, The researcher then developed a full detailed survey to study Macy’s shopping experience further. Interview The purpose of our interviews was to have a general idea of consumers’ shopping preference and their impression on Macy’s and to provide a guideline for our following survey. A few examples of interview questions are “How often do you shop for yourself?”, “how much do you spend each time you shop?”, “What are the most important features of a shopping experience to you?”, “What do you like about Macy’s?”, “What do you hate about Macy’s?” and “Give an example of your shopping experience at Macy’s.” The researcher chose to use convenience sampling for our interview session. Each of the four members in our group conducted a thirty-minute long interview with two friends. Survey Our survey mainly consists of four sections: screening questions asking participant’s age and frequency of shopping at Macy’s, questions asking participant’s general shopping patterns, questions asking participant’s shopping experience at Macy’s, and questions asking participant’s background and preference. The survey was made using Qualtrics and data were analyzed using SPSS. Nominal, ordinal, and interval scales are the most frequently used measurement scales in our survey. The researcher chose to use self-selected sampling for our survey since the survey was sent out via Facebook, WeChat, and Brandeis email, and the data are composed of those who responded. The researcher did highly encourage our friends to fill out the survey. However, there was no compensation in any form provided to respondents and participation was voluntary. The researcher expected most of our respondents to be millennials since our social media accounts had more friends at a similar age as us. There were 110 people in total participating in our survey. Among the 110 participants, 68 of them finished the survey while 42 of them did not. Therefore, the researcher got 68 valid data. 32.4% of them define themselves as “Male,” 64.7% of them define themselves as “Female,” and 2.9% of them define themselves as “Other” (See Table 1). We chose to only include males and females for the convenience of our analysis. 89.7% of participants fall under the 18-24 age range; 8.8% of them fall under the 25-30 age range; 1% of them fall under age range more significant than 30 (See Table 2). Also, 10.3% of participants are White, 4.4% are Black or African American, 83.8% are Asian/Pacific Islander, and 1.5% are other (See Table 3). Results Through this survey, The researcher wanted to find out what people’s general shopping pattern is, how satisfied people are with Macy’s, how much Macy’s performance deviated from the customer expectation and what the potential factors are affecting people’s shopping experience at Macy’s. General Shopping Patterns Comparison of the enjoyment level of shopping at different types of stores The researcher used a matched pairs t-test to find out where respondents generally prefer to shop at (Q7). The researcher asked our respondents to rate how frequently they shop at department stores (M=6.54), chain stores (M=6.57), boutiques (M=6.53), budget stores (M=6.88), second-hand stores (M=7.19) and shopping online (M=7.37) (See Table 4). The researcher compared one place with another, and The researcher found nine pairs significantly different from another on respondents’ enjoyment level. Pair 2: Department Store - Boutique: There is a significant difference in the enjoyment level between shopping at department stores and boutique stores, t(67)=5.222, p=.001 (See Table 5). Respondents prefer to shop at department stores more than boutiques. Pair 3: Department Store - Budget: There is a significant difference in the enjoyment level between shopping at department stores and budget stores, t(67)=7.384, p=.001(See Table 5). Respondents prefer to shop at department stores more than budget stores. Pair 4: Department Store - Secondhand: There is a significant difference in the enjoyment level between shopping at department stores and secondhand stores, t(67)=7.997, p=.001(See Table 5). Respondents prefer to shop at department stores more than second-hand stores. Pair 6: Chain Store - Boutique: There is a significant difference in the enjoyment level between shopping at chain stores and boutiques. t(67)=5.189, p=.001(See Table 5). Respondents prefer to shop at chain stores more than boutiques. Pair 7: Chain Store - Budget: There is a significant difference in the enjoyment level between shopping at chain stores and boutiques. t(67)=7.574, p=.001(See Table 5). Respondents prefer to shop at chain stores more than budget stores. Pair 8: Chain Store - Secondhand: There is a significant difference in the enjoyment level between shopping at chain stores and second-hand stores. t(67)=8.959, p=.001(See Table 5). Respondents prefer to shop at chain stores more than second-hand stores Pair 12: Boutique - Online: There is a significant difference in the enjoyment level between shopping at boutiques and online stores. t(67)=-6.305, p=.001(See Table 5). Respondents prefer to shop online more than at boutiques. Pair 14: Budget - Online: There is a significant difference in the enjoyment level between shopping at boutique and online. t(67)=-8.159, p=.001(See Table 5). Respondents prefer to shop online more than at budget stores. Pair 15: Secondhand - Online: There is a significant difference in the enjoyment level between shopping at secondhand stores and online. t(67)=-8.961, p=.001(See Table 5). Respondents prefer to shop online more than at secondhand stores. Overall, respondents prefer to shop at department stores, chain stores, and online the most. Comparison of the level of importance between different attributes of a shopping experience The researcher wanted to find the attributes that were the most important of a shopping experience to our respondents (Q9). The attributes included the variety of brands (M=6.24), customer service (M=6.5), store arrangement (M=6.15), accessibility of location (M=7.1), promotions (M=6.97), and store hours (M=5.44) (See Table 6). However, as the researcher collected our data, six responses were missing from variable “store hours.” Thus, the researcher decided to exclude “store hours” to make the test more accurate and consistent. The researcher used a matched pairs t-test for a table of rating scores (an interval variable) and compared means of different attributes. There were five pairs of attributes that The researcher found significant differences in the importance level to the respondents. Pair 1: Variety of Brands - Accessibility of Location: There is a significant difference in the importance level between the variety of brands and accessibility of location, t(67)=-3.045, p=.003 (See Table 7). Respondents value accessibility of location more than the variety of brands. Pair 4: Variety of Brands - Promotions: There is a significant difference in the importance level between the variety of brands and promotions, t(67)=-2.062, p=.043 (See Table 7). Respondents value promotions more than the variety of brands. Pair 8: Store Arrangement - Accessibility of Location: There is a significant difference in the importance level between store arrangement and accessibility of location, t(67)= -4.745, p=.001 (See Table 7). Respondents value accessibility of location more than store arrangement. Pair 9: Store Arrangement - Promotions: There is a significant difference in the importance level between store arrangement and promotions, t(67)=-2.794, p=.007 (See Table 7). Respondents value promotions more than store arrangement. Based on the result, respondents value accessibility of location and promotions more than the variety of brands and store arrangement. Comparison of the influence of social media platforms on making a purchase decision The researcher asked respondents to rate the influence level of different factors on making a purch

    科研活动新东方前途出国咨询有限公司 领航项目海外导师

    1、通过一对一及一对多讨论,利用自身成功申请经验帮助学弟学妹挖掘学术及课外活动亮点; 2、帮助已签约学员修改润色文书,善用地道美式行文方式、非常有说服力地展现学生的优点; 3、参与组织线下针对意向学员的宣讲会,积极耐心地解答学生与家长的问题,获得一致好评。

    科研活动Fifth Tribe Inc 数据分析师

    1、负责 Regency 家具的广告投放预算管理,使用 Google Analytics 及 Google Adwords 对于网 站流量及其影响因素进行分析,包括各渠道的(如 cpc 关键字广告,邮件营销,友情网站等)点击 率,跳出率,转化率,新用户占比,客单价等,并以 2017-2018 年度的表现情况作为基准点进行对 比。分析工具包括 Excel、R 语言及 SPSS。据结果提出相应解决方案并给予客户全英文提案及演讲。 2. 接手最大的项目是研究twitter上反伊斯兰教的内容对社会的影响。通过爬取超过十四万条数据并使用MySQL和SPSS进行整理分析,我们的结论是美国种族歧视犯罪率越高的州,相应在推特上发表的不当言论也越多。最后我们这个项目得到了dc这边一些反歧视ngo的支持,跟我们签署了后续的咨询服务, 得到了他们的认可。

    科研活动百度 市场策略与分析师 (KA-IMS)

    数据整理与统计: 1、制作 IT、医药、服饰、房产、家居五行业的业绩日报,区分具体广告产品,使 用 EXCEL 透视表,vlookup、countif 等功能及函数展现数据走向并总结重点客户及需改进之处; 2、制作手机行业月度报表和 benchmark 报表,具体内容包括收集整理分品牌、操作系统的展现量、点 击量及消费量、据此计算 cpc 和 ctr,并提供行业均值给广告代理及客户做参考。 数据分析和销售目标达成: 1、基于百度凤巢、司南、灵犀、指数专业版、MCDT、KACRM、天启、丝路等数据分析及运营平台,对百度效果类广告(包括 30 余种产品)流量、点击量和转化量等数据进行监控和分析并制定指标方案; 2、根据分析结果提出优化方法和提案; 3、跨部门(IMS 展示组,KA 销售部门,各广告产品部门等)协作技术实现和营销提案,推动广告方案实施落地。提案内容主要包括投放回顾及优化建议,客户所在行业和目标人群洞察,以及百度营销推广方案的介绍; 4、在岗期间服务头部客户包括 IT 及医药行业的美的、华为、荣耀、Oppo、Vivo、金蝶、汇仁、江中等。

    思存

    约翰霍普金斯大学

    市场营销

    “约翰霍普金斯大学院长奖学金获得者,百度整合营销分析师。”

    • 0.0

      IELTS

    • 3.7

      GPA

    • 0

      GMAT

    录取情况

    • 申请学校数量:3
    • 录取方式:GENERAL
    • 同时录取:
      Brandeis University, Washington University at St. Louis, Johns Hopkins University
    • 被拒学校:

    就读信息

    • 高中学校: 深圳外国语学校
    • 本科院校: Brandeis University
    • 本科专业: Business, Psychology