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Shalini Jha

@shalinijha2

Senior Data Scientist at PwC who delivered forecasting models with up to 95% accuracy and cut renewable-generator penalty exposure.

India

Message

At PricewaterhouseCoopers Pvt. Ltd. (PwC), I lead and mentor a cross-functional team of 4–5 engineers delivering an enterprise digital access portal. I also use operational data analysis to reduce renewable-generator penalty exposure from 15% to 7–12%.

At Mercados Energy Markets India Pvt. Ltd., I developed production demand, pricing, and volume forecasting models, achieving up to 95% forecast accuracy and 7–9% yearly MAPE. I also designed a load-balancing algorithm that cut service-level penalty charges by 25%, and led forecasting work that reduced organizational spend by approximately 40%.

Experience

Work history, roles, and key accomplishments

Current

Senior Consultant, Data Science & Machine Learning

Current

PricewaterhouseCoopers Pvt. Ltd.

May 2025 - Present (1 year 5 months)

Led and mentored a cross-functional team of 4–5 engineers to deliver an enterprise digital access portal, automating onboarding, application validation and multi-tier approval workflows. Delivered end-to-end analytical studies on large operational datasets, using trend, pattern and deviation analysis to reduce penalty exposure for renewable generators from 15% to 7–12%.

Python SQL Power BI Generative AI Prompt Engineering Data Analysis Stakeholder Management Team Leadership Agile Delivery CERC SERC Mandates

Senior Analyst, Applied Machine Learning & Analytics

Mercados Energy Markets India Pvt. Ltd.

Jul 2021 - Apr 2025 (3 years 9 months)

Led the end-to-end lifecycle of enterprise multi-step demand forecasting models, from 30-minute intervals to multi-year projections, optimizing resource allocation and reducing organizational spend by approximately 40%. Built, tested and maintained production forecasting models achieving up to 95% accuracy across multiple operational horizons.