Summary
Nivedita Mishra is a Data & Applied Scientist II based in Bengaluru with ~8 years of hands-on experience building production-ready forecasting and ML systems across energy, finance, and cloud platforms. She combines a strong engineering background in Python and R&D experience with applied research—shipping load and solar forecasting models, automating NWP workflows, and optimizing forecasting pipelines for operational use. At Microsoft she contributes to Azure Forecasting and AML benchmark initiatives, and her earlier roles at REConnect and JPMorgan sharpened her skills in time-series modeling, feature engineering, and scalable data pipelines. Known for bridging research and production, she often turns experimental methods (ANN+DWT, clustering-based segmentation, ramp detection) into operational components. Her profile reflects a practical researcher who focuses on measurable production improvements rather than only academic metrics.
8 years of coding experience
6 years of employment as a software developer
Master of Computer Applications - MCA Computer Science, Master of Computer Applications - MCA Computer Science at Department of Computer Science (PUCSD), SP Pune University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at SIES College of Arts, Science & Commerce SION(W)
Bachelor of Education - B.Ed. Secondary Education and Teaching (Mathematics & Computer Science), Bachelor of Education - B.Ed. Secondary Education and Teaching (Mathematics & Computer Science) at Government College of Education, Panjab University