Data Analyst Engineering
Resume:
Lan Chen
Contact
Information
Seattle, WA 98107 adho8j@r.postjobfree.com
Education Northeastern University { Seattle, Master of Professional Studies in Analytics April 2020 Nanjing University, Master of Science in Integrated Circuit Engineering. June 2015 Anhui Agriculture University, Bachelor of Science in Communication Engineering June 2012 Objective Three years of industrial experience with business analysis and product management in Alibaba. Seeking a full-time job as a Data Analyst. Strong hands-on knowledge in data analysis using MySQL and Python as well as end-to-end roadmap strategy planning and execution. Skills Programming: Python(pandas, scikit-learn, numpy, matplotlib), R(dplyr, ggplot2, glmnet), MySQL, C, C++, Java, MATLAB
Analytics: Machine Learning, Business Intelligence, Time Series, Visualization, A/B Testing Experience Product Manager, Data Driven Technology 02/2017{11/2017
Led 10+ in account management and engineering team to release a managed Receipt Recognition platform for customer engagement pattern analysis. Delivered product decreased 3000k+ customers’ waiting time from 4 hrs to 20 min for 1200+ shopping malls.
Summarized business needs and friction points for customized analysis con guration. Authored readiness documents outlining product and implementation requirements. Worked with engineering team to scope milestones and tracked key deliverables that drive technical decision making.
Conducted daily transaction data analysis on the order of 10 5
utilizing Optical Character Recognition
algorithms. Extracted sales trend and performed customer segments study.
Used Tableau to improve existing dashboard to allow customize con guration. Provided insights on inventory management, captured opportunities and built development strategies for business owners. Business Analyst, Alibaba Group { Chief Customer O ce 07/2015{02/2017
Wrote SQL queries to retrieve customer refund data from Alibaba Cloud ApsaraDB and performed exploratory data analysis. Conducted logistic regression to predict human intervention rate and shaped refund failure causes. De ned and executed new iterations thorough online A/B tests.
Led a major update of customer refund pipeline for Double 11, 2016 (prime day in China). Worked with multiple stakeholders including Data Science Team, Engineering Team and Product Management Team. Designed the service entry-point to Alibaba Finance platform and Logistics system which led to 10% decrease in manual intervention rate and 25% improvement in customer satisfaction level.
Regularly engaged with Manual Refund Service team in case ling audit to draft compliance requirements from improper history operations and supported post-sale service training.
Collaborated with Retail Customer Experience team to study customer refund cases and authored learnings docs that were used to make videos for internal sharing with 100k+ views. Projects Capstone Project - Street Safety Identi cation 01/2020 - 03/2020
Built an image processing model to identify sidewalk problems in Python. Applied Inception V3 model as the base model and DenseNet 121 model, Mobile net, and DenseNet 169 model for model tuning. Improved accuracy by 58% with data augmentation and model tuning. Reduced false negative and false positive matching in the confusion matrix to improve performance score by 18%.
Built an interactive platform with Django framework that allows users upload a sidewalk picture to check the safety issue and get suggestions for the solution. Designed and implemented an information collection page to automate the image collection process for continual model training. Data Analysis Experiential Network Project (Sponsored by Onclusive) 09/2019 { 12/2019
Conducted web-crawled text data processing with word tokenization and stop-words removal. Evaluated word importance and performed emotional sentiment analysis in R using rvest and sentimentr.
Built an interactive analytical dashboard with R Shiny for Onclusive employees to visualize the word cloud, sentiment score distribution and barplots. Provided one-click dashboard generation experience to improve business investigation e ciency by implementing automated data extraction from user provided CSV le or URL.
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