Summary
Nirmal Maheshwari is a Lead Data Scientist with over a decade of experience applying machine learning, Bayesian modeling, and marketing analytics to drive measurable ROI across CPG, retail, and financial services. He has scaled Market Mix Modeling programs that influenced nearly half of PFME planning and built end-to-end ML pipelines—ingestion, feature engineering, deployment, and monitoring—using tools like MLflow, Docker, PyTorch, TensorFlow, and XGBoost on GCP/AWS/Azure. Comfortable in both hands-on modeling and cross-functional leadership, he has led analytics teams at Nestlé and now Salesforce, turning complex multimillion-dollar marketing budgets into actionable strategy. His background spans production software development and predictive modeling—from early roles as a programmer to senior data science leadership—enabling a rare blend of engineering rigor and statistical depth. Passionate about mentoring and operationalizing models, he emphasizes reproducible MLOps and data-driven decision-making that scales across markets. Based in Gurugram, he pairs a BTech in Chemical Engineering with a diploma in Data Science, reflecting a pragmatic, multidisciplinary approach to solving business problems.
10 years of coding experience
12 years of employment as a software developer
International Institute of Information Technology Bangalore
Bachelor of Technology (BTech), Chemical Engineering, Bachelor of Technology (BTech), Chemical Engineering at Malaviya National Institute of Technology