- Build proprietary classification model to identify option contracts for hedging long equity positions using advanced data mining techniques (Python, Pandas, scikit-learn, Hadoop, SQL)- Design and implement scalable ETL pipeline to retrieve and pre-process over 1.4 million derivatives worth of training data, supporting model retraining and ensuring continuous improvement in performance (Python, BigQuery, Pandas, Apache Airflow, IBKR API)

- Implemented an Interval Scheduling Maximization (ISM) algorithm using a greedy approach to optimize maintenance request scheduling, enabling efficient resource allocation by maximizing non-overlapping service windows (Python, AppFolio)- Engineered MVP for digital property manager, a distributed system that autonomously handles natural language tenant inquiries and maintenance requests, demonstrating a 76% reduction manual workload for customers (Python, Flask, OpenAI, Appfolio, AWS)

- Authored business case and developed system design for automated solution to reduce manual burden on insurance adjudicators, streamlining health payers’ prior authorization workflow by 62%. Initiative was approved for development by company executives- Conducted 12 customer interviews to identify customer needs and pain points in the care management space and synthesized findings- Developed 4 interactive wireframes for HealthRules+ Co-Pilot and Autopilot claims adjudication solutions in Figma. Recorded video presentation demonstrations of key functionalities and value proposition, which were presented to company leadership- Collaborated cross-functionally with engineering, design, and marketing to specify product use cases, key functional and non-functional requirements, and development/commercialization strategies of Co-Pilot and Provider Data Management Solutions- Drafted solution guide for Provider Data Management Platform, utilized by sales team for advertising to prospective customers