Sai Hemanth Gummadapu
Thousand Oaks,CA
Summary
Aspiring Data Scientist with 6+ years of experience in data engineering and analytics. Skilled in extracting actionable insights from large datasets using Python, SQL, and cloud tools. Currently interning as an AI Engineer, optimizing LLM-based systems for real-time customer-facing applications. Passionate about using data to improve user experience and drive business strategy through statistical analysis and generative AI solutions.
Overview
9
9
years of professional experience
Work History
AI Engineer Intern
LidVizion
Thousand Oaks, California
11.2024 - Current
- Developed and deployed a GenAI pipeline using LLaMA and DeepSeek models to extract insights from PDF-based documents
- Built and maintained an internal SDK to streamline PDF-based question generation
- Integrated GenAI capabilities with front-end services using AWS Lambda and API Gateway
- Performed model quantization and optimization to improve performance in low-resource environments
- Collaborated with cross-functional teams to support GenAI integration into other internal applications and services
- Participated in product alignment meetings to translate business needs into scalable AI solutions
Senior Data Analyst
Deloitte India
02.2018 - 12.2022
- Created predictive models to understand customer behavior and improve experience across service lines
- Designed data validation scripts and dashboards using Power BI to track client KPIs
- Built and monitored Azure data pipelines to process unstructured client feedback and billing records
SQL Developer
Tata Consultancy Services (TCS)
11.2016 - 01.2018
- Engineered SQL reporting tools for Citibank that enhanced financial transparency and compliance
- Automated data collection and trend analysis for transaction monitoring and audit readiness
Education
MS - Data Analytics
California Lutheran University
05.2025
BS - Computer Science
SRM University
IndiaSkills
- Languages & Tools: Python, SQL, Git, Dbt, Power BI
- AI/ML: Machine Learning, LLMs (LLaMA, T5, DeepSeek), Prompt Engineering, Model Quantization
- Cloud & DevOps: AWS (Lambda, EC2, S3), Docker
- Big Data & Analytics: Hadoop, MapReduce, Databricks, Data Analysis
Projects
• Built a scalable AWS pipeline using LLMs for automated document analysis and question generation
• Applied MapReduce on customers dataset to predict customer product uptake trends
• Used prompt tuning and inference tracking to optimize AI-generated FAQs for frontend users
Coursework
- Machine Learning
- Statistical Modeling
- Big Data Analytics
- Data Visualization
- Generative AI Systems
Timeline
AI Engineer Intern
LidVizion
11.2024 - Current
Senior Data Analyst
Deloitte India
02.2018 - 12.2022
SQL Developer
Tata Consultancy Services (TCS)
11.2016 - 01.2018
MS - Data Analytics
California Lutheran University
BS - Computer Science
SRM University