Arnav Sareen Email & Phone Number

Cary, NC, US

Cary, NC, US

• Collecting Player Participation data for FCS & FBS teams during the 2024-2025 season, tracking critical player personnel and position data across 60-70 plays per game.
• Tracking over 120 data points per play with a 98.5% accuracy rate, facilitating timely and accurate delivery of game data to clients, improving data quality and wider implementation with PFF data analyses.

Charlotte, NC

• Developing a custom AI assistant and chatbot, optimizing model performance by 80% through the integration of advanced RAG techniques such as HyDE and Hybrid Retrieval and custom data preprocessing techniques.
• Analyzing labor market data through Python and statistical tools to uncover key labor trends and growthopportunities in Mecklenburg County, leading to actionable suggestions for economic development

• Leveraging advanced data analysis techniques and visualization tools such as Pandas and Plotly to illuminate game performance analysis for the UNC Charlotte Football Team, resulting in 7+ hours of saved time per week.
• Leading data analysis efforts in the 2024 Syracuse SIS Blitz Competition, using SIS data to generate novel insights into the 2024 QB Draft Class, which were presented to NFL team personnel.
• Orchestrating interviews for incoming interns, successfully onboarding 6 new team members through a structured interview process that ensured a smooth integration into the team.

Charlotte, North Carolina, United States

• Data Intelligence Research (DIR) Lab | Advisors: Chris Egersdoerfer, Dr. Dong Dai
• Analyzing the performance of Large Langauge Models (LLMs) and their ability to interpret complex and extensive high-performance computing (HPC) logs via RAG, pyDarshan, and the OpenAI API.
• Enhancing the performance of GPT-4 for I/O trace log analysis, increasing the consistency and accuracy of itsresults by 50% through chain-of-thought prompt engineering and in-context learning techniques.
• Creating a web interface in Streamlit to interact with this tool, providing seamless access for scientists to quickly diagnose issues within their HPC Applications and find efficient solutions to their performance.

Raleigh, North Carolina, United States

• PICTure Research Group | Advisors: Yuanchao Xu, Dr. Xipeng Shen
• Identified deficiencies in learned indexes under high-write conditions, benchmarking their performance and pinpointing the root causes of these issues
• Improved the efficiency of learned indexes in high-write percentage environments by implementing a performance model that strategically decides the best time to retrain the machine learning model based on a.
• Presented my findings at the North Carolina School of Math and Science’s 2022 Research Symposium

Bachelor Of Science - Bs, Computer Science

Activities and Societies: CCI Professional Mentorship Program, Levine Scholars Mentoring Committee, Mentor Collective — Mentor, Charlotte.

Bachelor Of Science - Bs, Data Science

Education record

Activities and Societies: - Partook in a 25-day wilderness backpacking/mountaineering course through Wyoming's Wind River Range.

Online Program, 11-12

Activities and Societies: Courses: Honors Foundations in Data Science, Human and Computer Interaction, The Ethics of Artificial.

High School Diploma, 9-12

Activities and Societies: Computer Science Club (Founder and Leader), Phoenix Fest (Software Engineer), Model United Nations, Two Steps.