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Data Engineer
DemystData•  June 2019 - December 2020
 Conducted data cleaning, exploratory data analysis, statistical analysis, and feature engineering on third-party datasets using Python and R.  Developed, deployed, and monitored machine learning models using Scikit-learn, XGBoost, and LightGBM to predict customer credit risk; increased model AUC by 10%, and improved credit underwriting.  Designed and implemented custom ETL workflows using data modeling techniques on the consumer, business, and property data using Python, PySpark, and SQL and deployed it on AWS.  Generated efficient scripts for custom workflows for integrating data from multiple sources and ingesting, monitoring, and debugging them.  Used NLP for sentimental analysis on textual data to monitor brand and product sentiment in reviews and understand customer needs.  Successfully connected API with multiple clients for real-time secure ingestion of data processed through the implemented logic.  Collaborated cross functionally to mine and analyze data and extract key trends / insights.
Education
Northeastern University, Boston
Computer Information Systems, MS•  August 2016 - May 2018
University of Mumbai
Computer Science, BE•  June 2012 - July 2016
Skills
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