Aditya Daga Email & Phone Number

Washington Dc-Baltimore Area

- Developed Python script leveraging Google Places API to enrich research grant dataset by dynamically adding state information, and created interactive visualizations in Tableau to analyze total funding by state, category, and year.

Boston, Massachusetts, United States

- Developed an end-to-end data pipeline using Python, Pandas, and FAISS to normalize and deduplicate 600,000+ company names to create a directory of companies with unique IDs and short, clean names- Utilized advanced text preprocessing techniques, including stop word removal and hashing vectorization, to enhance data quality and improve the accuracy of company name matching and similarity scoring.- Built an app to dynamically search the company directory for user-inputted names, providing real-time updates and user options for ID assignments based on found matches.- Designed a Python script to interact with the GPT-4o API for generating GraphQL queries, simplifying vessel database querying by enabling natural language search capabilities for users rather than searching via filters- Enhanced the query generation process by integrating a GraphQL schema, example queries based on top searched fields, and hierarchical ship type data from a CSV file, allowing for more precise and context-aware database searches

Fairfax, Virginia, United States

- Developed and implemented a neural network model to predict student performance based on procrastination behaviors, achieving an average accuracy of 89% and recall of 86% through ten-fold cross-validation.- Engineered data processing pipelines in Python to efficiently clean, normalize, and aggregate student assignment and grade data from CSV files, facilitating the extraction of key procrastination features.- Conducted ablation experiments to evaluate the impact of procrastination features on model performance, demonstrating a 47% decrease in recall when features were omitted, thereby highlighting their significance.- Presented in Aspiring Scientists Summer Internship Program’s research symposium and co-authored a paper published by the American Society for Engineering Education Southeast Section Conference

- Observed and absorbed how experienced actuaries analyze pricing, payment patterns, and overall risk profile through the use of metrics and modeling.- Shadowed underwriters and actuaries to gain insight into the development of rate adequacy and price monitors reports using available data.- Familiarized myself with the process of estimating ultimate loss levels, identifying payment pattern calculations, and completing monthly financial reporting by observing how actuaries work with claims data.- Explored the requirements for becoming an actuary and gained exposure to capital modeling and risk management by meeting with employees in the process of completing their actuarial exams.

Bachelor'S Degree, Computer Science, 3.6/4.0

Activities and Societies: Jones College, Intramural Sports Coordinator, Rice Data Science Club

4.30/4

Activities and Societies: Junior State of America (Chapter VP & Mid-Atlantic State Director of Technology), Model UN (VP/Director.

4.0/4.0

Completed dual-enrollment classes in Precalculus, Linear Algebra, Analytic Geometry & Calc III, and Intro to Discrete Mathematics.