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    <loc>https://becaqian.com/portfolio/branding-campaign-</loc>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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      <image:title>Work - Pringles广告策划方案</image:title>
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    <image:image>
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      <image:title>Work - Pringles广告策划方案</image:title>
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    <image:image>
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      <image:title>Work - Pringles广告策划方案</image:title>
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    <image:image>
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      <image:title>Work - Pringles广告策划方案</image:title>
    </image:image>
    <image:image>
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      <image:title>Work - Pringles广告策划方案</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/2a459a06-2453-4c3c-9949-9aa6574b179c/Screen+Shot+2022-04-29+at+4.29.53+PM.png</image:loc>
      <image:title>Work - Pringles广告策划方案 - Some things never change.</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://becaqian.com/portfolio/project-four-63g2p</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-04-12</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/360fe66e-77de-4178-94c3-9a15c32f8b04/659+01.png</image:loc>
      <image:title>Work - Database Management数据库管理 - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/df679659-3dab-4dde-81cc-c3e32c75403a/659+02.png</image:loc>
      <image:title>Work - Database Management数据库管理 - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/7474f3d5-3bec-41a0-8580-a333bcf7fcf7/659+03.png</image:loc>
      <image:title>Work - Database Management数据库管理 - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/4568a07b-cff6-4e64-b5a5-b8fe73e3a3b3/659+04.png</image:loc>
      <image:title>Work - Database Management数据库管理 - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/acfc4060-f04d-4c5d-a4f4-6bc993cab16b/us+1.png</image:loc>
      <image:title>Work - Database Management数据库管理 - As a consumer:</image:title>
      <image:caption>I can sign in or join this rental platform(create a new account) so that I can start to rent a car..</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/b97638bd-85a2-4dca-8e5c-18adef47c27a/us+02.png</image:loc>
      <image:title>Work - Database Management数据库管理 - As a consumer:</image:title>
      <image:caption>I can automatically get the cost of my car rental plan (if I am not a member I won’t get a discount, else, I can get 90% of the order) so that I don’t need to calculate the cost by myself.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/9c8afb45-dd03-4505-a211-162b50755943/us+03.png</image:loc>
      <image:title>Work - Database Management数据库管理 - As a consumer:</image:title>
      <image:caption>As a customer, I can rate and comment on my previous order so that I can give feedback to the car rental company and their services.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/6abf924c-fac2-446f-a27d-ad6a9087de07/us+04.png</image:loc>
      <image:title>Work - Database Management数据库管理 - As a car rental company manager:</image:title>
      <image:caption>●I can review the maintenance records of each car so that I can keep an eye on the quality of our cars. ●I can review the insurance history of each car so that I can make sure each car has effective insurance and I can trace the bill amount as well.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://becaqian.com/portfolio/project-three-dr69r</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-04-12</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/2c7128d8-bf40-45c9-a65c-d12cd8bed7d0/Screen+Shot+2022-04-12+at+11.47.28+PM.jpg</image:loc>
      <image:title>Work - Marketing Analysis 市场分析案例</image:title>
      <image:caption>In the first step, we would like to select the raw data for the three brands such that two are of the same price category (high or low), and the third is of the other type. It was essential to make sure the package size (QTY, indicates the size of the bundle) is the same for all three brands. So, we divided the data for high-movement sport drinks into two subsets by QTY=1 and QTY=2. Then, for each subset, we used pivot tables to find average prices for the brands for Feat = 0 and Feat = 1, and total counts of cases. Filtered by the sizes of 20OZ, 32OZ, and 64OZ, the pivot tables for QTY=1 subset are shown in the following figures.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/43400dd1-f93f-48c4-9b60-0a9624bedcb4/653+01.png</image:loc>
      <image:title>Work - Marketing Analysis 市场分析案例 - Q1: How does the demand for a brand depend on price? What is the price elasticity of demand of a brand? Is price elasticity different for different brands?</image:title>
      <image:caption>According to the calculations, The price elasticity respectively for ASLL, PFP, and ASFP are -1.925382, -2.981695, -1.925382. Therefore, we conclude that as the price of a brand goes up, the demand drops. The price elasticity is different for each brand.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/9c5c8899-d9f0-4f6d-824a-5442768502eb/653+02.png</image:loc>
      <image:title>Work - Marketing Analysis 市场分析案例 - Q2: What brand and what season have the highest probability of being on sale?</image:title>
      <image:caption>The probability of being on sale is different for each season and brand. The highest probability for a brand on sale is during the winter. Spring is the second highest season to most likely be on sale, Fall is the third most likely season to be on sale and the least likely season to be on sale is Summer. Example of one of the calculation: Brand: ASFP Dummy Variables: ASFP=1, ASLL=0, PFP=0 I= 0.57927 -0.03786(ASLL)-0.32430(PFP)-0.05008(Spring)+0.22334(Summer)-0.22437(Winter) = 0.57927-0.05008(Spring)+0.22334(Summer)-0.22437(Winter)= 0.52186</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/6ea806d0-e438-4c8b-a89d-4d8826ecf2d1/653+03.png</image:loc>
      <image:title>Work - Marketing Analysis 市场分析案例 - Q3: Determine if ASLL and PFP are equally likely to be on sale at 99% confidence.</image:title>
      <image:caption>Since the p-value is less than 0.01, we can reject the null hypothesis at 99% confidence.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://becaqian.com/portfolio/blockchain-in-advertising-</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-04-13</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/724a191f-f750-4dc2-8ebe-967bc4afd258/Screen+Shot+2022-04-13+at+11.28.01+AM.png</image:loc>
      <image:title>Work - Blockchain in Advertising 区块链在广告中的应用</image:title>
      <image:caption>3 pain points in marketing and adverting</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/2e293a76-bd61-4d10-97da-54fad0e951a4/Screen+Shot+2022-04-13+at+11.32.06+AM.png</image:loc>
      <image:title>Work - Blockchain in Advertising 区块链在广告中的应用</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/67c16058-7511-46f0-bec0-de472ab53f9b/Screen+Shot+2022-04-13+at+11.32.51+AM.png</image:loc>
      <image:title>Work - Blockchain in Advertising 区块链在广告中的应用</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/41a376a3-4ff8-429d-bb00-68ba112512d5/Screen+Shot+2022-04-13+at+11.33.16+AM.png</image:loc>
      <image:title>Work - Blockchain in Advertising 区块链在广告中的应用</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://becaqian.com/portfolio/project-two-nzxxc</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-04-12</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/d9539b41-0cf5-47e0-96ef-aacebe1a6587/Picture1.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - Make it stand out</image:title>
      <image:caption>DATA INFO</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/c1862227-f3d9-4549-89fb-7f07f2913f12/Screen+Shot+2022-04-12+at+6.34.56+PM.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - Conversion Rate</image:title>
      <image:caption>Color represent whether a conversion is made, which also means whether a consumer make a purchase. Red indicates not buying the product while the rest indicates an actual purchase. 85% of the transaction did not convert into sales, which means most of the consumers online are just browsing instead of buying.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/7c2f5481-7745-413b-83c7-992db1545789/Screen+Shot+2022-04-12+at+6.43.42+PM.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - Pages-wise vs. Conversation</image:title>
      <image:caption>Product related pages contribute the majority of the visits and the time spent on the website. Further, it has the highest contribution to revenue generation.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/7c0355a7-393d-46f6-b409-89d326412844/tra.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - Traffic by Month</image:title>
      <image:caption>When we look the traffic by month, we can see that 28% of the visitors come in May, among these most of them are returning visitors. While November attracts most of the new visitors given a possibility that special discount and holidays are mostly around November and December.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/b57f4135-3999-4d9d-b7c5-e4e8ea15934f/Screen+Shot+2022-04-12+at+6.50.48+PM.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - Loyal customer matters</image:title>
      <image:caption>Other charts indicates the distribution of weekend and weekdays buyers and the total distribution of visitor type. This can help us to make actionable strategy such as ad campaigns should reach our audience during weekdays and follow up with the returning visitors either on social media or email.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/202fb63e-f101-455a-baa3-515657e6fab2/Screen+Shot+2022-04-12+at+6.52.36+PM.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - Correlation</image:title>
      <image:caption>High Bounce and Exit Rates lead to less Revenue</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/effab18a-488a-4dd9-9dd6-dc8ec95628dd/Screen+Shot+2022-04-12+at+6.57.08+PM.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - The default decision tree model receives an accuracy of .86 and .89 after tunning. PageValues remained at the top of the list followed by Bounce rate, ProductRelated duration, and exit rates.</image:title>
      <image:caption>A significant advantage of a decision tree is that it forces the consideration of all possible outcomes of a decision and traces each path to a conclusion, which allow us to have a better understanding in the customer journey that leads to a conversion. The default decision tree model receives an accuracy of .86 and .89 after tunning. PageValues remained at the top of the list followed by Bounce rate, ProductRelated duration, and exit rates.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/16c758f4-cd82-4ab5-a559-a8eaf0cf1dba/Screen+Shot+2022-04-12+at+7.03.52+PM.png</image:loc>
      <image:title>Work - Machine Learning机器学习 - In the random forest classifier, it returns an accuracy of .89 with the default one and .90 after tuning. Through random forest algorithms, e-commerce vendors can predict the preference of customers based on past consumption behavior.</image:title>
      <image:caption>In the random forest classifier, it returns an accuracy of .89 with the default one and .90 after tuning. Through random forest algorithms, e-commerce vendors can predict the preference of customers based on past consumption behavior.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/9abb8a45-523b-440c-86ef-4c9bc809da84/Screen+Shot+2022-04-12+at+7.20.55+PM.png</image:loc>
      <image:title>Work - Machine Learning机器学习</image:title>
      <image:caption>No matter for precision, f1 score or overall accuracy, random forest performs better than the decision tree model. Especially looking at the overall accuracy, the default random tree model’s accuracy is the same with the decision tree after tuning. Although random forest is more time consuming, it still has better performance.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://becaqian.com/portfolio/project-one-gyg9t</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-04-12</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/6da6f4d7-3810-4108-8230-26931e5f68df/final-poster.jpg</image:loc>
      <image:title>Work - Data Visualization数据可视化</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/a0e76442-3f83-4fef-acaa-dfd864f1be13/bubble+plot.jpg</image:loc>
      <image:title>Work - Data Visualization数据可视化</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/ce8a7c6d-d4a5-4638-95f4-af46a96cf97b/map.jpg</image:loc>
      <image:title>Work - Data Visualization数据可视化</image:title>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/cdcf302c-5af3-42e3-8ee3-ccc848d4c32c/correlation.jpg</image:loc>
      <image:title>Work - Data Visualization数据可视化</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://becaqian.com/portfolio/pure-leaf</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2022-04-29</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/5e82071b6ab6a703525dba4e/037f418b-92da-4e4a-aabe-cd55c1401a77/Screen+Shot+2022-06-13+at+6.20.43+PM.png</image:loc>
      <image:title>Work - Pure Leaf广告策划方案</image:title>
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      <image:title>Beca Qian - 只要路是对的，就不怕路远。</image:title>
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      <image:title>Beca Qian - Cantonese - Take only memories. Leave nothing but footprints. –Chief Seattle</image:title>
      <image:caption>A sketch of Foshan city, Guangdong province, China by Piao Zhen</image:caption>
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      <image:caption>Biscuit loves going out for a drive!</image:caption>
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      <image:title>Beca Qian - Tattoo</image:title>
      <image:caption>The tattoo is design by my Indonesian friend, Lelox and me. He is a part-time volunteer in the orphanage but also a tattoo artist. The center of my tattoo is a mini-map of the world, surrounding with compass and hour wheel. Outermost is covered by Indonesian traditional patterns.</image:caption>
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