Data scientist at Budweiser (AB InBev)
Building a chatbot that turns
natural
language into SQL queries cuz no one should have to write GROUP BY ever again. Occasionally
Rant about Cricket or Tech in Youtube
I'm Naveen Venkat. a data scientist working at Budweiser, where I use machine learning, optimization, and analytics to drive decisions that impact millions of beers sold every day.
Lately, I've been building a natural language to SQL chatbot to make data querying more accessible — and maybe replace the need for Excel filters forever.
Outside work, I enjoy running and staying active. I also run a small YouTube channel where I rant about cricket, explain tech concepts, or just talk about whatever's on my mind.
When I'm not in front of a screen, you'll probably find me at the gym, on a run, or chasing a new personal best
Jan 2025 - Present
Developed an LLM-powered Copilot using LangChain, RAG, and advanced prompt engineering (CoT, ReAct, Contextual Augmentation) to convert natural language procurement questions into executable SQL queries on structured SAP datasets. Reduced query-to-insight turnaround time by 90%, saving 40+ hours/month per user.
July 2024 - Dec 2024
Designed ML models using XGBoost and Genetic Algorithms to assign optimal SKU-level challenges for 30K+ stores, enhancing campaign relevance and engagement. Achieved 91% incremental conversion, $2.4M revenue uplift, and 4% improvement in store activation, validated via a Synthetic Control Framework.
Aug 2023 - July 2024
Delivered store-specific SKU portfolios for 20+ retailers across Brazil and Argentina using K-Means Clustering and Genetic Algorithm Optimization. Engineered planogram generation algorithms using Govers Distance, Non-Linear Integer Programming, and Genetic Algorithms to optimize shelf layout and inventory KPIs. Increased average category revenue by 6% through SKU rationalization.
Jan 2025 - Present
Co-created and built a podcast from the ground up, releasing 50+ episodes in under 6 months. Covered a wide mix of topics — from cricket analysis and tech trends to AI, machine learning, and career growth. Focused on making conversations relatable, fun, and informative.
2019 - 2023
Mangalore, India
Specialized in electrical and electronics engineering with focus on programming and data science. Developed strong foundation in Python, C++, and C programming languages.
Automated chess gameplay by capturing device screen via ADB and extracting board state using OpenCV. Used Stockfish API to compute best moves and simulate actions with tap commands.
Developed an image generation system using Generative Adversarial Networks (GAN) to transform face sketches into realistic images. Enhanced the GAN with a 50-layer Generator and a 9-layer Adversary, achieving losses of 2.052 and 1.139 respectively.
Secured 1st place out of 150+ teams by designing an auction engine using AutoGluon, CatBoost Regressor, and Genetic Algorithms, deployed via a Streamlit interface for real-time simulations.
Specialist at Codeforces (Max Rating - 1442) | Level 5 at Codechef (Max Rating - 2014). Strong foundation in algorithms, data structures, and problem-solving.
Review Each Team's Performance in Champions Trophy 2025
Watch Now
naveenvenk17@gmail.com
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Banglore , India