Machine Learning Information Systems

Sai Srinivas Tangudu

College Park, MD, U.S.A

+1-240-***-**** ********@***.*** linkedin.com/in/sai-srinivas-tangudu-898054152/ EDUCATION

University of Maryland, RH Smith School of Business May 2025 Master of Science, Information Systems

• GPA: 4.0

• Achievements: Awarded $5000 due to my past success and future promise and named a Terrapin Scholar., SAC's 5th annual Datathon, 5th place out of 55 teams.

• Coursework: Business Process Analysis, Industry Practicum, Managing Digital Businesses and Markets, Data Mining and Predictive Analytics, Data Processing and Analysis in Python, Data Models and Decisions with R Jawaharlal Nehru Technological University, Mahindra Ecole Centrale Sep 2020 Bachelor of Technology, Mechanical Engineering

• GPA: 9.07

• Achievements: Received the Academic Excellence Scholarship of 100,000 annually for four consecutive years, recognizing consis- tent top-tier academic performance., Member of the SAE BAJA club, Member of college fest organizing committee

• Coursework: English and Humanities, Design Thinking, Introduction to Enterprise and Economy, Professional Ethics, Computer Programming and Numerical Methods, Machine Learning WORK EXPERIENCE

Robert H. Smith School of Business, University of Maryland Aug 2024 - Present Graduate Teaching Assistant College Park, MD, U.S.A

• Conducted office hours for 100+ students, clarifying key statistical and machine learning concepts such as regression, hypothesis testing, and confidence intervals to enhance their understanding and performance.

• Guided students on assignments by explaining advanced analytical techniques and data workflows, ensuring timely submissions and improved problem-solving skills.

• Assisted students in applying data analytics methodologies to transform raw data into actionable insights using Python-based tools. Kofuku Idea Labs Private Ltd Jun 2022 - Nov 2023

Backend Developer Hyderabad, TG, India

• Led the development and implementation of a new search engine for 'Unther,' reducing response time by 27% and significantly enhancing system performance and user satisfaction.

• Optimized database operations, reducing server load by ~15% and improving overall system stability.

• Integrated LLMs and applied prompt engineering techniques for automated document and multimedia summarization, boosting productivity.

• Enhanced search accuracy by 43% through the development of vector embeddings for document data, leveraging Pandas and NumPy for data processing.

PROJECT EXPERIENCE

Datathon Competition

NBA Team Expansion Analysis

• Analyzed data from over 100,000 U.S. cities across 92 features, including demographics, economy, and sports engagement, using clustering and predictive models to recommend locations for NBA expansion.

• Delivered actionable insights through data visualization and a cohesive presentation, highlighting underrepresented cities with high fan engagement potential.

• Secured 5th place out of 55 teams by showcasing analytical rigor and data-driven recommendations for market expansion. UMD Terrapins Performance Prediction and Analysis

• Analyzed over two decades of historical data (1999-2023) for the University of Maryland Terrapins baseball team to predict performance and uncover key trends.

• Designed and implemented predictive models and conducted comprehensive exploratory data analysis (EDA) to provide actionable insights for game strategy optimization.

• Developed machine learning models, including logistic regression, achieving a 62% test accuracy, and identified critical performance factors such as optimal game days and home-field advantages, driving data-informed recommendations. TECHNICAL SKILLS

• Machine Learning: Machine Learning Engineering, LLMs, Prompt Engineering, Scikit-learn, Pandas, NumPy

• Programming Languages: Python, FASTAPI, Flask, SQL, SCQLalchemy

• Tools: Jira, Clickup, Tableau, MS Excel, Google Sheets, GIT, Microsoft SQL Server, PostgreSQL, Elasticsearch, Meilisearch, Docker, Celery

• Collaboration: Code Collaboration

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