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A data lover with over 5 years of experience. I like to live in data. Data always tells stories. I am a translator, explaining to people the language of data. Exploring data from different perspectives makes me see the world especially. This is an essential trait to be a data worker. Sometimes, I am an architect; building algorithms and models lead you to see the company vision you’ve never seen before. If you are looking for an obedient employee, sorry I am not the one. I would be a good choice of a cooperator and a storyteller.
三月 2021 - Present
• Develop an EDM recommendation model (Bias SVD + Xgboost), improving 10% EDM open rate.
• Constructing Salesforce KPI and operation dashboards helped me awarded 2023 best employee.
• The ink forecast model assists product managers in controlling ink procurement.
• Utilize the collage model to assemble a new image from company picture materials based on a description.
• Dump printing volume data from AWS S3 and apply Teams to monitor the data pipeline.
十二月 2019 - 一月 2021
• Evaluated AI routing algorithm and provided advice to the cooperative company on how to improve could achieve the goal we want.
• Adopted Xgboost to calculate the value of off-line scooters, generated exchange order organized workers which off-line scooter should be exchanged battery first.
• Built LSTM model to forecast rental demand through user app events understanding the fulfill rate of every operational region.
• Assessed parking lot value, consulted which one should be deprecated, where could develop new parking lot service.
• Applied Airflow to ensure the stability and accuracy of data.
四月 2019 - 十月 2019
• Crawled articles from different webs and constructed NLP model integrated text-CNN, Logistic, LightGBM, accuracy around 91%.
• Analyzed content of articles to calculate content similarity, then recommended readers related articles to improve the click rate and pageview.
• Interfaced with GA, dumped data to BigQuery then visualized data via Data Studio to help company partners grasping website traffic.
• Advertising optimization, offered the performance and bidding situation of different kinds of advertises to the business department to sell ad slots.
九月 2018 - 四月 2019
• Developed user segmentation to build CRM helping client administering their customers.
• Implemented Xgboost to find the most possible purchase customer list and used Cosine Similarity to recommend their interesting product category causing the repurchase rate 4% improved.
• Built exchange rate API compared the current exchange rate with past 30 days then demonstrated exchange recommend rank to users.
2016 - 2018
2011 - 2015
A data lover with over 5 years of experience. I like to live in data. Data always tells stories. I am a translator, explaining to people the language of data. Exploring data from different perspectives makes me see the world especially. This is an essential trait to be a data worker. Sometimes, I am an architect; building algorithms and models lead you to see the company vision you’ve never seen before. If you are looking for an obedient employee, sorry I am not the one. I would be a good choice of a cooperator and a storyteller.
三月 2021 - Present
• Develop an EDM recommendation model (Bias SVD + Xgboost), improving 10% EDM open rate.
• Constructing Salesforce KPI and operation dashboards helped me awarded 2023 best employee.
• The ink forecast model assists product managers in controlling ink procurement.
• Utilize the collage model to assemble a new image from company picture materials based on a description.
• Dump printing volume data from AWS S3 and apply Teams to monitor the data pipeline.
十二月 2019 - 一月 2021
• Evaluated AI routing algorithm and provided advice to the cooperative company on how to improve could achieve the goal we want.
• Adopted Xgboost to calculate the value of off-line scooters, generated exchange order organized workers which off-line scooter should be exchanged battery first.
• Built LSTM model to forecast rental demand through user app events understanding the fulfill rate of every operational region.
• Assessed parking lot value, consulted which one should be deprecated, where could develop new parking lot service.
• Applied Airflow to ensure the stability and accuracy of data.
四月 2019 - 十月 2019
• Crawled articles from different webs and constructed NLP model integrated text-CNN, Logistic, LightGBM, accuracy around 91%.
• Analyzed content of articles to calculate content similarity, then recommended readers related articles to improve the click rate and pageview.
• Interfaced with GA, dumped data to BigQuery then visualized data via Data Studio to help company partners grasping website traffic.
• Advertising optimization, offered the performance and bidding situation of different kinds of advertises to the business department to sell ad slots.
九月 2018 - 四月 2019
• Developed user segmentation to build CRM helping client administering their customers.
• Implemented Xgboost to find the most possible purchase customer list and used Cosine Similarity to recommend their interesting product category causing the repurchase rate 4% improved.
• Built exchange rate API compared the current exchange rate with past 30 days then demonstrated exchange recommend rank to users.
2016 - 2018
2011 - 2015