Dr. Haritha Chellapilla — Data Scientist

I’m a Data Scientist with a PhD and industry experience applying machine learning and statistical modeling to real-world forecasting and planning problems. At HP, I develop and validate predictive models that support demand, usage, and inventory planning across multiple regions and business segments. My work combines machine learning (scikit-learn, XGBoost) and time-series methods (ARIMA, Exponential Smoothing) to build reliable, explainable forecasts that drive operational decisions. I focus on the full modeling lifecycle—data preparation, feature engineering, validation, and performance evaluation using metrics such as MAPE and RMSE. I enjoy solving practical data challenges: transforming messy enterprise data into usable datasets, stress-testing models against real-world variability, and translating analytical results into insights that business teams can act on. My goal is not just to build models, but to deliver solutions that are robust, interpretable, and scalable in production environments. My doctoral background in optimization and large-scale systems modeling strengthens how I approach data science problems—structuring ambiguity, testing assumptions rigorously, and balancing accuracy with business usability. I’m particularly interested in Data Scientist roles focused on predictive modeling, forecasting, and decision-support analytics, where data science directly influences planning, operations, and strategy.

Stackforce AI infers this person is a Data Scientist specializing in predictive analytics and optimization for the transportation and SaaS industries.

Location: Hyderabad, Telangana, India

Experience: 8 yrs 10 mos