Prathamesh Naik

Graduate Trainee Data Science @Mahagenco-Mspgcl

Nagpur, IN

Developed a real-time forecasting model using XGBoost and Time Series Analysis to predict electricity frequency and unit output every 15 minutes, achieving 87% accuracy across 18+ power generation units-Processed over 6GB of generation data from SQLite using Python and XAMPP, enabling scalable model training and improving data readiness for predictive analysis by 35%-Automated feature engineering pipelines by applying lag features, label encoding, and one-hot encoding, reducing preprocessing time by 30% and increasing model efficiency-Collaborated with senior IT engineers to validate model outputs against operational benchmarks, resulting in a more reliable dispatch schedule and enhanced forecasting confidence.

St. Vincent Pallotti College of Engineering & Technology

Bachelor of Engineering - BE

Guru nanak junior college

Higher Secondary Education