Experience

Direct Wines, Inc.

• United States
• Beverage Manufacturing
• 1 - 100 Employee

• Data Scientist

  • Sep 2023 - Present



MassMutual

• United States
• Financial Services
• 700 & Above Employee

• Data Scientist

  • Mar 2021 - Nov 2022

  New York City Metropolitan Area -Developed algorithm for identifying highly prospective customers and top small business owner leads -Improved and maintained Next Best Offer algorithm for cross‑selling to current MM customers - Improved and maintained up‑selling pipeline for existing customers, leveraging customer data to identify additional sales opportunities - Collaborated with cross‑functional teams to maintain and optimize an attribution pipeline, implementing data‑driven attribution models to analyze the… Show more -Developed algorithm for identifying highly prospective customers and top small business owner leads -Improved and maintained Next Best Offer algorithm for cross‑selling to current MM customers - Improved and maintained up‑selling pipeline for existing customers, leveraging customer data to identify additional sales opportunities - Collaborated with cross‑functional teams to maintain and optimize an attribution pipeline, implementing data‑driven attribution models to analyze the lead impact and use insights gained to inform and optimize lead generation strategies - Conducted customer attrition analysis for investment products, identifying key factors driving churn and developing retention strategies - Led migration of legacy leads generation pipeline to a new platform, ensuring seamless integration and minimal disruption to operations - Supported software engineering team with backend microservice development for an internal leads delivery tool

• Junior Data Scientist

  • Jun 2018 - Apr 2021

  Amherst, MA Marketing: - Developed predictive models for the identification of highly prospective MM customers (leads). - Curated data to additionally identify top business owner leads to sell MM products. - Supported software engineering team with backend microservice development for an internal leads delivery tool. [R, Python, SQL, Pyspark, Docker, Kubernetes, Kafka] Risk and Product Domain: - Made key contributions to the development of algorithmic underwriting models for Disability… Show more Marketing: - Developed predictive models for the identification of highly prospective MM customers (leads). - Curated data to additionally identify top business owner leads to sell MM products. - Supported software engineering team with backend microservice development for an internal leads delivery tool. [R, Python, SQL, Pyspark, Docker, Kubernetes, Kafka] Risk and Product Domain: - Made key contributions to the development of algorithmic underwriting models for Disability Insurance - Worked on model output explainability using an internal Shapley tool - Conducted research and testing of data imputation methods for continuous improvement of current underwriting tool - Performed ad-hoc comparative analyses of data vendors and their effectiveness. [R, Python, SQL, Jenkins] Volunteer Champion: - Collaborated with Engineers and Analysts to build a web calculator (Cliff‑Effect Calculator)that quantifies the loss of government support that a person bears when there is a monetary change in his/her take‑home income - Worked as a liaison between industry professionals and local educational institutions in Hampshire County (MA) to support and facilitate work‑ shops at inter‑collegiate Hackathons and Datafests - Supervised and mentored Junior Data Scientists in their academia‑to‑industry transition



VentureWell

• United States
• Non-profit Organizations
• 1 - 100 Employee

• Research and Evaluation Intern

  • Sep 2017 - May 2018

  Hadley, MA - Worked on determining the effectiveness of the NSF I-Corps program by analyzing survey data to identify entrepreneurial trends and spinoff potential among prospective academic research projects. - Responsible for streamlining data management procedures within the organization. - Processed structured and unstructured datasets for statistical analysis and public release of the data [R]



Wayfair

• United States
• Retail
• 700 & Above Employee

• Data Science Intern

  • Jun 2017 - Aug 2017

  Greater Boston Area - Developed a supplementary model for integration into the organization’s internal predictive goods pricing tool. - Built an XGBoost model to perform damaged goods classification on big data (over 25 million entries). [Python, MSSQL]



Mastercard

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Data Science Intern

  • Jun 2016 - Aug 2016

  Greater St. Louis Area - Developed a decision support system to predict merchants going out of business using Time Series analysis - Performed feature engineering, data wrangling, and data mining operations on large datasets with over 0.5 million entries [Python, SQL]