Ranchal Khandelwal

About Ranchal Khandelwal

Hi there! I’m a Data Scientist at EY working on large-scale demand forecasting and supply chain ML systems.I build and deploy production-grade forecasting engines across SKUs using ensemble methods (XGBoost, Prophet, Lasso, Random Forest). My focus is improving forecast accuracy, reducing bias, and building systems that actually hold up in production — not just notebooks.I developed distributed ML pipelines on Azure Databricks using PySpark, handling large datasets with optimized training, feature engineering, and model monitoring. I work directly with metrics like MAPE, Bias, FA/FB and design models around measurable business impact.Beyond forecasting, I build AI-enabled analytics platforms — including GenAI-powered KPI intelligence systems using OpenAI APIs and RAG architectures to enable conversational access to operational data. Core Expertise• Machine Learning; Time Series Forecasting• Ensemble Modeling; Feature Engineering• Distributed Data Processing (Azure Databricks, PySpark)• Forecast Accuracy Optimization (MAPE, Bias, FA/FB)• GenAI; Conversational Analytics• Supply Chain; Planning Analytics

Experience

1. Consultant

   EY

   Oct 2025 — Present · Bengaluru, IN

   Leading advanced machine learning and forecasting initiatives within supply chain analytics engagements across global markets.• Designing and optimizing large-scale demand forecasting models across SKUs using ensemble ML techniques (XGBoost, Prophet, Lasso, Random Forest).• Driving forecast performance improvement through bias correction, feature engineering, and automated model evaluation (MAPE, FA/FB).• Architecting scalable ML pipelines on Azure Databricks using PySpark, improving distributed processing efficiency and model reliability.• Enhancing model explainability and traceability through structured KPI frameworks and integrated analytics dashboards.• Collaborating with Data Engineering and MLOps teams to productionize forecasting systems and ensure performance monitoring.• Contributing to AI-driven analytics solutions, including GenAI-enabled KPI intelligence systems for conversational insight retrieval.

Education

• Banaras Hindu University

  Master of Science - MS, Statistics and Computing

• University of Rajasthan

  B.Sc., Triple Major in Mathematics , Statistics , Economics

  2017 — 2020