Data Analyst
Resume:
************@*****.***
I have extensive experiences working with multiple Fortune 500 companies in marketing analytics, predictive modeling, ROI analysis, and data-driven strategies design to drive performance. I am looking for Data Scientist, Data Engineer or Data Analytics related experienced roles. Languages: 3-years coding experiences in SQL and Python (Pandas, Scikit-Learn Packages) Data Science:
Statistical Techniques – ANOVA, Time Series, Forecasting, A/B Test, Hypothesis Test, Optimization Machine Learning – Regression, Classification, Clustering, Decision Tree, SVM, NLP Big Data – Spark, Hive, TensorFlow
Data Visualization – Tableau, Looker
Others: Advanced Excel, PowerPoint
EDUCATION
Fordham University, New York 2017 – 2018 Dec
M.S in Data Analytics – GPA 3.65
University of North Carolina, Chapel Hill 2013 – 2016 B.S. in Mathematical Decision Science - Statistics PROFESSIONAL EXPERIENCES
Ipsos MMA – New York, NY
Senior Data Analyst – Delivery Team May 2019 – May 2020
§ Marketing Analytics – Industries Engaged: CPG/Durable Goods/Retail o Build and maintain ETL process on cross-channel media and financials datasets o Define, evaluate and monitor Metrics to measure performance and marketing results o Lead outsourced data engineering team on monitor anomalies and validate data quality, communicating analysis results with cross-functional teams o Build multi-variate regression models to explore correlations, contributions, effectiveness of marketing campaigns, tune model for better performance o Execute marketing ROI and MROI optimization scenarios for revenue forecasting, drive 15%-25% revenue growth with minimal marketing spends
o Build interactive dashboard/data visualizations with Tableau/PowerPoint and present Findings with clear recommendations to non-technical clients and stakeholders o Work on 3-4 projects simultaneously, maintaining high efficiency and meeting all deadlines
§ Data Transformation Automated System Design – A leading Coffee Machine Manufacturer o Lead and design an automation system using SQL to create/manage Snowflake databases, write Python codes to transform raw data into easy-to-use datasets using statistical methods
(moving average, de-seasonalize, decay, laggings and etc) for modeling feeds o Responsible for end-to-end system improvement and implementation, which increased work efficiency by 250%
o Helped build machine learning models to forecast product penetration rate in target markets
§ Menu Price Optimization – NC Based Restaurant Chain o Leverage TB - level transactions, promotions and marketing spend data, use Python to perform statistical analysis, identify patterns/colorations between promotions and sale performance o Develop price-mix-models to test menu price optimization hypothesis o Build clustering models – KNN to cluster stores from national level to different key clusters to improve operations efficiency
Elaine Li
PROFILE AND SKILLS
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CollectorIQ – New York, NY May 2018 – Jan 2019
Data Scientist
§ Develop machine learning models to predict liquidity level and price of art collectibles, providing insights for art investors
§ Implement NLP (NLTK/Sandford Core NLP package) to analyze importance level of text features
§ Conduct sentimental analysis to improve overall model performance
§ Deliver bespoke presentations to non-tech-background senior management regularly on using data science to provide opportunities for company development. PROJECTS
University Endowment Use-Case Analysis with Selective Learning Oct – Dec 2018
§ Crawled Twitter followers of Universities with Python Twitter API
§ Built Random Forest, SVM, Gradient Boosting, Deep Neutral Network classification applications to analyze whether universities poorly use endowments fund using various measures
(MAPE, R-square)
§ Applied selective learning to improve classifiers’ performance. Divvy Shard Bike Big Data Analysis with Spark March – May 2018
§ Built Spark and Spark SQL-based models to analyze time-series Divvy sharing bike usage data
§ Implemented machine learning models to predict future bike usage given weather forecast info
§ Visualized results on Chicago map using Tableau
§ Made recommendations for China Ofo shard bike company on Chicago market entry strategy. Readmission Rate Prediction of diabetic inpatients with Machine Learning March – April 2018
§ Built machine learning models (SVM, Decision Tree, Neutral Network) with TensorFlow on hospital readmission rate forecasting.
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