- Designed and implemented NLP chunking patterns using NLTK to help a proprietary LLM accurately parse financial documents, enabling structured data extraction for KPI prediction.

- Focused on high-quality data collection and pattern validation to support AI-driven investment analysis, streamlining the capture of up to 3,000 data and text elements per company filing.

- Spearheading a $90,000+ annual fundraising campaign, optimizing resource allocation for engineering projects and implementing cost forecasting tools, streamlining budgeting processes to improve financial planning.

- Building relationships with sponsors leading to an increase of 25% in annual funding and established a bi-monthly alumni newsletter that reaches 200+ recipients, generating fresh sponsorship leads and fostering long-term partnerships.

- Conceptualize and execute wellness programs aimed at improving campus community engagement and building collaborative initiatives with faculty, bridging gaps between academic and social activities for 1,000+ students.

- Conducted thorough market research to optimize resource allocation strategies, achieving a 15% improvement in financial forecasting accuracy and delivered data-driven reports to senior management, simplifying complex insights for informed investment decisions.

- Analyzed time-series financial data and PACF models using Python to process large datasets, calculate lagged correlations, and visualized trends to identify patterns in prediction markets.

- Optimized code to ensure accurate insights through comprehensive data cleaning and validation techniques; used Facebook’s BART to categorize market prediction questions, improving dataset usability.

- Processed and cleaned raw heart disease datasets using R and normalized features to ensure data quality and consistency for machine learning applications.

- Developed predictive models and used stratified sampling to maintain data distribution.