Satyajit Ovelil

Monitored & tuned models forecasting for 2k units/month, developing protocols for long-term accuracy. Customized accuracy metrics to strategically integrate AI principles with business goals. Facilitated stakeholder collaboration to significantly improve and organize accuracy reports. Utilized data-driven tools to measure process performance, check quality & capacity utilization. Oversaw governance standards, streamlined processes, & managed risk logs for consistency.

Enhanced forecasting model interpretability across 5+ regions, cutting grid operator's decision time by 28%. Developed modular ML pipelines, boosting efficiency with MLOps in 9 projects & 25+ models. Developed seasonal models for 4 AEMO's NEM region using bias detection for balanced forecasts. Achieved ~95% accuracy in electricity demand forecasting using ensemble models with extensive feature engineering. Prototyped Dagster for scalable weather data pipelines, ensuring reliability in 5+ projects.

Managed audits across 16 branches, boosting compliance and efficiency, and reducing errors. Implemented ML Classifier to predict employee attrition across 3+ departments, 2000+ employees. Created dashboards using Plotly to analyse 2+ yrs of credit cycle data, enhancing decision-making. Optimized large dataset handling (>30 GB) using out-of-core processing for efficient analysis. Developed a Python app to analyse large financial reports, boosting data processing efficiency.

9th Annual International Conference on Climate Change