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Data Scientist
Precima, a Nielsen company•  June 2019 - Present
· Worked on multiple projects creating deliverables for clients with statistical analysis and forecasting models. · Used Luigi or Airflow to automate and schedule execution of Python/SQL/Shell scripts and build model pipelines. · Revised Python code to effectively identify decay effect of long-term promotion to improve model accuracy. · Improved data preparation step by wrting parameterized SQL queries, and converting part of SQL code to Python code with multiprocessing to cut runtime for projects related with pricing, optimization, assortment.
Artificial Intelligence Programmer
Ministry of Economic Development, Job Creation and Trade•  May 2018 - March 2019
· Built machine learning/NLP models with Python for analyzing news trend, web forum opinions, parsing e-Laws, etc. · Deploy the models in multiple web applications that generate insights interactively according to user input. · Created chatbots that answer queries, generate consolidated report, provide visualizations and recommendations. · Extracted and indexed large unstructured data from files, different APIs, web scraping for search and analytics.
Statistical Analyst
University of Toronto•  September 2017 - March 2018
· Performed feature-based opinion mining in Python reducing over 50% time processing course evaluation comments. · Developed algorithm that automated forecasting related with budget planning with over 90% accuracy. · Conducted topic modeling, keyphrase extraction and sentiment analysis to analyze and summarize comments. · Created visualizations with LDAvis, wordcloud, ggplot2 in R, and using Tableau for presenting results.
Data Analyst Intern
Ministry of Health and Long-Term Care•  May 2017 - August 2017
· Generated over 30 ad-hoc spreadsheet reports with statistical analysis for optimizing emergency service performance. · Revised SQL and SAS code for updating information related with healthcare institution and the ambulance system. · Presented statistical analysis results and recommendations to directors and executive staff.
Education
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