- Provide biweekly specialized data science and research assistance in tracking generational wealth mobility in the US- Present research and data syntheses to professor for upcoming publication through summaries and visualizations- Interpret and create datasets and economic models to find causal relationships between socioeconomic variables

- Provide pro bono digital transformation, competitor analysis, and market research for 2+ family businesses, annually- Boosted ad efficiency by ~50%; developed marketing strategy using competitor KPI estimates and market research• Lead 10 consultants to procure and analyze quantitative, qualitative data for strategic, actionable recommendations• Deliver clear, impactful presentations and consistent updates and briefs throughout project lifecycles to clients

- Designed database to evaluate competitor pricing of insurance bonds, enhancing investor reporting with dashboards- Streamlined $5+ million underwriting line by automating environmental catastrophe modeling of 3 weekly accounts - Enhanced monthly portfolio risk analytics for investor reporting, leveraging SQL databases and dashboarding tools- Evaluated accuracy of AI tools for automating data cleaning; supported property and insurance linked security teams- Supported data analytics, & real estate insurance teams in modeling catastrophic events and environmental disasters- Oversaw & improved underwriting referral process; provided data science support across various teams- Developed investor reports using SQL, Python Dashboards, Excel & AIR CAT models for real estate risk data analysis

- Summer intern working with data science and data analytics in IT department- Created Machine learning algorithm to predicting COVID antigens and antibody bindings w/96% accuracy (Binary Classifier algorithm)- Created deliverables to be used in immunology department- Presented research to Business Technology Solutions (BTS) and IR managers + director- Data Cleaning 10,000+ Biology Type Files- Used PyTorch for machine learning implementation- Researched Machine learning methods

- Oversaw and monitored scheduling for tennis lessons and personal play- Used Excel and Word Managed customer service- Compiled inventory and Facilitated product and lesson purchases- Mediated between coaches and tennis players

- Facilitated group practice sessions for adults and children- Trained coaches on 8 and under tennis- Encouraged community and learning through fun games- Illustrated techniques and set concrete goals for students which developed their form- Addressed parent concerns with classes and adapted lesson structures for younger children

- Teaching Private Tennis lessons to 15+ clients in the regions surrounding Acton and Natick in the spring and summer months- Specializing in 12 and under coaching (i.e. red, orange, and green ball) with a focus controlled and technical form- Networked and advertised services through online marketing

- Prepared high/middle schoolers for SAT and SHSAT placement exams, as well offering general math support- Managed 4 clients (not including 15+ private tennis clients)

- Assisted with grant writing for a new elementary school - Curated presentation evaluating grant for town hall meeting- Shadowed staff and reviewed budgets- Researched financial practices and grant processes