# Tejas Patnaik > CS + Stats @ Harvard College Location: United States, United States Profile: https://flows.cv/tejaspatnaik Hi everyone! I'm Tejas, a sophmore at Harvard College studying Computer Science and Statistics. I'm particularly interested in Data Science and its applications within the developmental pipelines of all Industries. In the past, I've worked in Machine Learning and Data Engineering roles to learn more about quantitative modeling and decision-making, gaining valuable insights into the practical applications of data science. Feel free to reach out and connect! Github: https://github.com/patnaikt4 ## Work Experience ### Senior Software Engineer @ HCS Tech for Social Good Jan 2026 – Present ### Software Engineer @ HCS Tech for Social Good Jan 2025 – Jan 2025 RAG Modeling, Data Validation Pipelines, and more to come! ### ML Researcher - Harvard AI x Robotics Lab @ Kempner Institute at Harvard University Jan 2025 – Present Optimal Flow Rates for Diffusion Models ### Data Analytics Intern @ Trillium Trading Jan 2025 – Present | New York Alpha Research x Hidden Liquidity Detection ### GenAI/Data Analytics Researcher @ Harvard T.H. Chan School of Public Health Jan 2025 – Present Evaluating the Efficacy of Brazil's comprehensive National School Feeding Programa Nacional de Alimentação Escolar (PNAE) ### Data Consultant @ Major League Baseball (MLB) Jan 2025 – Present Applied ML for Baseball Performance Analytics ### Data Consultant @ Harvard Sports Analysis Collective Jan 2025 – Present | Cambridge, Massachusetts, United States ### Data Analyst @ Harvard Sports Analysis Collective Jan 2024 – Present PCA Modeling for NBA Average to Star Player Prediction ### Case Team Data Analyst @ Harvard Undergraduate Data Analytics Group Jan 2024 – Present | Cambridge, Massachusetts, United States Cool ML Consulting stuff! ### Discovery Data Analyst @ Harvard Undergraduate Data Analytics Group Jan 2024 – Jan 2024 | Cambridge, Massachusetts, United States • Accepted into a selective data-consulting program for Harvard undergraduate students • Leveraged Python libraries to clean, search through, and create data visualizations to effectively communicate data results • Developed Machine Learning and Classification Models with Neural Networks, Linear, and Logistic Regression • Collaborated with fellow Analysts and Case-Team Leads to analyze and provide data-driven recommendations to clients • Present findings in 20+ Regular meetings with Clients, Case Team, and more ### Software Engineer @ Centers for Disease Control and Prevention Jan 2025 – Jan 2025 RAG (Retrieval-Augmented-Generation), LLMs, Backend Machine Learning ### Discovery Day @ Susquehanna International Group Jan 2025 – Jan 2025 Game Theory, Market Making, and Decision Science ### Fellow @ Harvard Undergraduate Machine Intelligence Community Jan 2024 – Jan 2025 | Cambridge, Massachusetts, United States ### Data Engineering Intern @ Renaissance Learning Jan 2024 – Jan 2024 - Conducted in-depth research analyzing the spending patterns of a targeted group of nonprofits (charities) and compared them against the aggregate, uncovering key trends and insights. - Developed and implemented data visualizations using Matplotlib, Seaborn, and other Python libraries to communicate findings, facilitating data-driven decision-making effectively. - Delivered a presentation summarizing the research outcomes to an audience of 150+ company executives and employees, resulting in actionable feedback and strategic recommendations. ### Material Science Research Intern @ Argonne National Laboratory Jan 2020 – Jan 2024 | Darien, Illinois, United States - Spearheaded 4-6 people in research projects revolving around insight gained photon scattering in the field of Material Sciences with a specialty in Crystallography and Theoretical Physics - Secured Particle Accelerator (Beamline) use for four consecutive years with a 100% proposal and conference acceptance rate - Analyzed data from the Advanced Photon Source (APS); Presented four presentations over four years at annual Argonne APS/CNM Meetings to 200+ Researchers varying from Undergraduate Students, Postdoctoral Researchers, and Argonne Physicists ## Education ### Harvard University ### Bolingbrook High School Jan 2020 – Jan 2024 ### College of DuPage Jan 2022 – Jan 2024 ### Lewis University Jan 2023 – Jan 2024 ## Contact & Social - LinkedIn: https://linkedin.com/in/tejas-patnaik-840b25279 --- Source: https://flows.cv/tejaspatnaik JSON Resume: https://flows.cv/tejaspatnaik/resume.json Last updated: 2026-04-01