Bengaluru, Karnataka, India
I’m a Data Scientist with ~2.5 years of experience building data-driven solutions across demand forecasting, machine learning, and analytics. My work focuses on solving real-world business problems using predictive modeling and time series techniques. I’ve developed and deployed models for complex demand patterns (smooth, erratic, intermittent, and lumpy), leveraging feature engineering approaches like ADI and CV² to improve forecast accuracy and reliability. With a foundation in software development, I bring a strong understanding of data pipelines, scalability, and production systems allowing me to go beyond modeling and contribute across the full lifecycle from data exploration to deployment. Key areas of expertise: Time Series Forecasting (ARIMA, ensemble models, intermittent demand techniques) Machine Learning & Predictive Modeling Feature Engineering & Data Analysis Python, SQL, and scalable data workflows I’m particularly interested in building robust ML systems that drive business decisions and continuously improve through data.
* Led development of production-grade machine learning models for large-scale demand forecasting across 79K+ vending machines, improving stock accuracy by 95% and reducing inventory discrepancies * Designed and deployed end-to-end time series forecasting pipelines using PySpark, LightGBM, and statistical models, reducing stockouts by 30% and improving overall supply chain performance by 52% * Applied mathematical optimization techniques using Gurobi to optimize inventory policies, achieving up to 85% reduction in inventory costs and minimizing excess stock * Built scalable data pipelines on Databricks and Apache Spark to process high-volume datasets across 27K+ customer sites, reducing manual effort by 60% * Conducted statistical analysis and anomaly detection on operational metrics to identify inefficiencies and improve system reliability * Collaborated with cross-functional stakeholders to translate business requirements into data science solutions and deliver measurable impact
Built internal tools and documentation using HTML/CSS, MySQL, REST APIs, and cloud platforms. Strengthened understanding of software development workflows and team collaboration.