- Meticulously graded more than 200 Data Structures and Algorithm exams using nuanced knowledge of the subject matter.- Ensured each student got feedback based on their results to improve performance.

- Assist with the smooth functioning of processes such as ticket sales and troubleshooting and ADA assistance at Division 1 Rutgers Athletic Events.- Assisting fans, Olympic recruiters, and guests with ticket encounters and other additional questions.

Utilized Excel and SQL to undertake rigorous data analysis and cleansing, providing detailed market maps that discovered new trends across multiple startup industries. powerful graphics that conveyed data-driven insights, directly influencing the formulation of strategic investment plans and improving portfolio development.• Identified high-potential investment prospects by in-depth research on industry data, company models, and startup metrics. Oversaw efforts to differentiate products and develop market strategies. Delivered focused suggestions that complemented HP Tech Ventures' long-term investment thesis, helping to narrow down investment plans.• Worked together with cross-functional teams to improve investment frameworks, making sure they were in line with changes in the competitive landscape and industry advancements. contributed significantly to the creation of thought leadership articles on startup ecosystems and innovation trends.

- Utilized Python to conduct data analysis on 15,000 contacts to gauge customer trends and increase engagement through CRM Database optimization to facilitate growth- Created and managed 5+ groups within the data to organize it efficiently, and segregate it by location, relation, and functionality as per company needs- Presented findings and conclusions with team members concisely and clearly to advisors, effectively managed key project tasks, met deadlines, and delivered quality results

- Increased information output by 12% by leveraging NLP techniques like TextRank to automate research automation using Python.- Designed and implemented a data restructuring mechanism within the application to address technical complexities from the end users point of view.- Increased sales and contact efficiency by 15% by leveraging data driven insights to identify market trends and custom preferences.