Headline

Data Scientist | Demand Forecasting | Operations Research | Python | PySpark | SQL | Databricks | ML & AI | Time Series | Supply Chain Optimization | Cloud | Gurobi | Big Data | Feature Engineering | VIT CSE'23

About

Data Scientist at Fastenal India Experience - 2+ Years Supply Chain Optimization | Demand Forecasting | Operations Research | Inventory Planning | Time Series| PySpark | SQL | Azure | Gurobi | LGBM | StatsForecast | Databricks | Streamlit | 2× Best Performer I'm a data-driven professional with a strong foundation in machine learning, forecasting, and inventory optimization, currently working as a Data Scientist at Fastenal India. I've designed and implemented end-to-end demand forecasting and replenishment models for thousands of vending machines, achieving a 95% increase in forecast accuracy and reducing restock visits and stockouts for millions of SKUs. With a deep understanding of supply chain dynamics, I specialize in translating business constraints—like minimum/maximum levels, reorder points, excess inventory, and stockouts—into scalable optimization models using Gurobi, StatsForecast, and LGBM. I use PySpark, SQL, and Python for data engineering and feature generation, and deploy solutions in Azure and Databricks environments. Recognized twice as the Best Performer at Fastenal, I consistently deliver solutions that improve inventory efficiency, forecast reliability, and operational decision-making across the supply chain. Key Skills & Tech Stack: Forecasting & Inventory Optimization: Time Series Demand Forecasting , Machine Learning , Gurobi, StatsForecast, LGBM, Arima, Croston, Prophet, Safety Stock & Lead Time Modeling. Supply Chain Focus Areas: Demand Forecasting, Replenishment Planning, Inventory Monitoring , Supply Chain Optimization. Languages & Data Tools: Python, SQL, PySpark Cloud & MLOps: Azure, Databricks, Azure DevOps, Git, JIRA, Terraform Visualization & Deployment: Streamlit, Flask Certifications: Microsoft Azure Fundamentals, AWS Cloud Foundations, Coursera - Neural Networks and Deep Learning

Location

Tamil Nadu

AI stack

hugging face

langchain

ollama

openai

Work experience

Data Scientist at Fastenal India, Jul 2023 - Present · 2 yrs 10 mos, Bangalore, Optimization of Fastenal Managed Inventory- Developed an inventory management solution for over 79,000 Fastenal vending machines, achieving a 95% accuracy improvement in forecast over the legacy system. Utilized PySpark, Gurobi Optimizer, and machine learning models (Nixtla’s StatsForecast, LGBM) to incorporate min/max levels, reorder points, and demand scaling, optimizing restocking schedules and demand forecasting. • Reduced restock visits for approximately 75% of the 26,000 sites while decreasing out-of-stock instances for nearly 83% of the 2.1 million SKUs. • Achievements & Recognition - Awarded "Best Performer" twice - in Q1 2024 and Q1 2025 - for successfully delivering the project on time with outstanding accuracy.

Information Technology Trainee - Data Science at Fastenal India, Jan 2023 - Jun 2023 · 6 mos, Bengaluru, Karnataka, India, Chatbot BLUE- Developed and Deployed a company-specific chat-bot to provide fast and accurate answers to queries related to Fastenal Products , services using Azure OpenAI, Elastic search, Flask enhancing customer interaction and support. • Improved response accuracy and efficiency compared to the legacy chatbot by integrating context preservation, enabling more natural and coherent interactions.

Technical Core Committee Member at IEEE NPSS VIT Chapter, Sep 2021 - Dec 2022 · 1 yr 4 mos, Vellore, Tamil Nadu, India

Web Development Intern at Habitat for Humanity Trust, Jun 2022 - Jun 2022 · 1 mo, Hyderabad, Telangana, India, Data Science-Driven Clustering and Financial Analysis- Applied data science clustering techniques, including K-Means Clustering and DBSCAN, to classify organizations based on funding patterns, operational scale, and focus areas, facilitating data-driven decision-making for fund allocation and compliance monitoring. • Utilized web scraping techniques and developed advanced SQL queries to extract , clean, validate, and analyze f inance-related data, ensuring accuracy and consistency.

Education

Undergraduate, Computer Science, Vellore Institute of Technology

Intermediate, FIITJEE