Data Engineer

• Jan 2022 - Present

Data Analyst

• Dec 2019 - Dec 2021

- Create dashboards to monitor and report business progress - Manage ETL process to update analytics data warehouse - Analyze customer page navigation patterns to increase website engagement - Create dashboards to monitor and report business progress - Manage ETL process to update analytics data warehouse - Analyze customer page navigation patterns to increase website engagement

Data Science Fellow

• Jan 2018 - Feb 2020

A part-time online Data Science program involving both data strategy and hands-on experience in machine-learning, big data, R and Python development • Implemented regularized linear models and random forests to predict housing price in Ames, Iowa • Built an R-Shiny app to analyze Citibike usage in NYC and developed an interactive map of Citibike and subway stations • Applied web-scraping techniques to extract 257,870 cell phone rating data from Best Buy website and analyzed… Show more A part-time online Data Science program involving both data strategy and hands-on experience in machine-learning, big data, R and Python development • Implemented regularized linear models and random forests to predict housing price in Ames, Iowa • Built an R-Shiny app to analyze Citibike usage in NYC and developed an interactive map of Citibike and subway stations • Applied web-scraping techniques to extract 257,870 cell phone rating data from Best Buy website and analyzed the rating changes for top selling phones • Capstone project: Data integration and loan default risk analysis for Marketplace Lending data using machine learning; Built an API to perform column definition matching using Google NLP model Bert; Created an interactive dashboard using Dash to analyze Lending Club loan data; Containerized machine learning models for loan default probability prediction and deployed as an API Show less A part-time online Data Science program involving both data strategy and hands-on experience in machine-learning, big data, R and Python development • Implemented regularized linear models and random forests to predict housing price in Ames, Iowa • Built an R-Shiny app to analyze Citibike usage in NYC and developed an interactive map of Citibike and subway stations • Applied web-scraping techniques to extract 257,870 cell phone rating data from Best Buy website and analyzed… Show more A part-time online Data Science program involving both data strategy and hands-on experience in machine-learning, big data, R and Python development • Implemented regularized linear models and random forests to predict housing price in Ames, Iowa • Built an R-Shiny app to analyze Citibike usage in NYC and developed an interactive map of Citibike and subway stations • Applied web-scraping techniques to extract 257,870 cell phone rating data from Best Buy website and analyzed the rating changes for top selling phones • Capstone project: Data integration and loan default risk analysis for Marketplace Lending data using machine learning; Built an API to perform column definition matching using Google NLP model Bert; Created an interactive dashboard using Dash to analyze Lending Club loan data; Containerized machine learning models for loan default probability prediction and deployed as an API Show less

Data Insights Analyst

• Nov 2017 - Nov 2019

PeerIQ is an innovative player at Marketplace lending. It offers an online analytics platform that serves as a bridge between lenders and capital markets and provides in-depth insights in portfolio investments and improves risk management. • Manage and develop ETL pipelines to extract, transform and integrate client data to PeerIQ Analytics platform • Perform data quality checks and create ad-hoc reports to ensure the integrity of data • Analyze data and provide insights in… Show more PeerIQ is an innovative player at Marketplace lending. It offers an online analytics platform that serves as a bridge between lenders and capital markets and provides in-depth insights in portfolio investments and improves risk management. • Manage and develop ETL pipelines to extract, transform and integrate client data to PeerIQ Analytics platform • Perform data quality checks and create ad-hoc reports to ensure the integrity of data • Analyze data and provide insights in consumer credit market • Communicate with data providers and clients at banks, hedge funds, and loan originators to resolve data questions and ensure client commitments are met Show less PeerIQ is an innovative player at Marketplace lending. It offers an online analytics platform that serves as a bridge between lenders and capital markets and provides in-depth insights in portfolio investments and improves risk management. • Manage and develop ETL pipelines to extract, transform and integrate client data to PeerIQ Analytics platform • Perform data quality checks and create ad-hoc reports to ensure the integrity of data • Analyze data and provide insights in… Show more PeerIQ is an innovative player at Marketplace lending. It offers an online analytics platform that serves as a bridge between lenders and capital markets and provides in-depth insights in portfolio investments and improves risk management. • Manage and develop ETL pipelines to extract, transform and integrate client data to PeerIQ Analytics platform • Perform data quality checks and create ad-hoc reports to ensure the integrity of data • Analyze data and provide insights in consumer credit market • Communicate with data providers and clients at banks, hedge funds, and loan originators to resolve data questions and ensure client commitments are met Show less

Graduate Research Assistant

• Sep 2012 - Jun 2017

• Conducted independent and collaborative research projects related to immunology, resulting in 2 publications in high impact peer reviewed journals • Developed novel protocols for gene ablation, resulting in the identification of a key determinant in resident memory T cell establishment • Analyzed RNAseq data and identified differentially expressed genes using R • Performed statistical analysis and tests for statistical significance for experiment datasets • Presented work in… Show more • Conducted independent and collaborative research projects related to immunology, resulting in 2 publications in high impact peer reviewed journals • Developed novel protocols for gene ablation, resulting in the identification of a key determinant in resident memory T cell establishment • Analyzed RNAseq data and identified differentially expressed genes using R • Performed statistical analysis and tests for statistical significance for experiment datasets • Presented work in weekly lab meetings and department seminars Show less • Conducted independent and collaborative research projects related to immunology, resulting in 2 publications in high impact peer reviewed journals • Developed novel protocols for gene ablation, resulting in the identification of a key determinant in resident memory T cell establishment • Analyzed RNAseq data and identified differentially expressed genes using R • Performed statistical analysis and tests for statistical significance for experiment datasets • Presented work in… Show more • Conducted independent and collaborative research projects related to immunology, resulting in 2 publications in high impact peer reviewed journals • Developed novel protocols for gene ablation, resulting in the identification of a key determinant in resident memory T cell establishment • Analyzed RNAseq data and identified differentially expressed genes using R • Performed statistical analysis and tests for statistical significance for experiment datasets • Presented work in weekly lab meetings and department seminars Show less