Ramanand Yadav

About Ramanand Yadav

Ramanand | Data Analytics Leader | Driving Business Impact through AI, GenAI Data EngineeringA results-driven IT professional with 7+ years of experience at the intersection of business, data engineering, and advanced analytics. I thrive on solving real-world problems with technology—blending analytical rigor with hands-on execution across the end-to-end data lifecycle: from ingestion to lakehouse design, from models to operational impact, and from dashboards to AI-driven systems.Currently a Senior Domain Expert – Data Engineering & Data Science at Asian Paints, where I lead and contribute to self-driven initiatives in lakehouse modernization using Azure Databricks, GenAI adoption, and AI Agent-based automation. My focus spans lakehouse architecture, data engineering, GenAI/LLM integration, forecasting, recommendation systems, inventory optimization, and MLOps. I’ve led implementations that operationalize ML and GenAI in production, leveraging Azure Databricks for scalable compute, governance, and collaboration.I’ve evolved from building APIs and scalable architectures to architecting and owning AI-driven solutions—transforming decision-making, accelerating workflows, and enabling digital business outcomes. My recent interests include LLM-powered retrieval systems, AI agents for business automation, and enterprise GenAI strategy.Skills- Programming Languages: Python, PySpark, Java, C+- GenAI AI Agents: LLMs (OpenAI/Azure OpenAI), RAG, Agentic WorkflowsArtificial Intelligence: Machine Learning, Deep Learning, Computer Vision, NLP- LLM Agent Frameworks: LangChain, LangGraphData Engineering: Azure Databricks, Delta Lake, Azure SynapseWorkflow Automation & Orchestration: n8n, Airflow, Azure Data Factory, InformaticaWeb Frameworks: Flask, Django, FastAPI, StreamlitDevOps: Git, Docker- MLOps: Azure ML, MLflow (Databricks)Business Intelligence: Power BIAlways happy to contribute my skills, lead strategic implementations, and drive business success through advanced analytics, GenAI, and AI-driven engineering.

Experience

1. Senior Domain Expert - Data Engineering and Data Science

   Asian Paints

   Apr 2024 — Present

   Driving GenAI and AI Agent automation implementation to reduce the manual efforts and business process automation- Designed and recommended the enterprise lakehouse architecture on Azure Databricks, reducing data engineering effort and enabling scalable ML workloads- Built forecasting models across multiple functions to strengthen predictive planning and operational efficiency- Led self-initiated lakehouse modernization efforts leveraging Delta Lake, MLflow, and Azure services- Partnered with cross-functional teams to uncover business requirements and convert them into analytics and AI-driven process improvements.

Education

• KES Shroff College

  Bachelor’s Degree

  2012 — 2015

• JAI HIND COLLEGE, MUMBAI

  Junior College

  2010 — 2012

• K.J. Somaiya Institute Of Management Studies and Research

  Master of Computer Applications (M.C.A.)

  2015 — 2018