Shreyasi Sarkar

Dynamic professional with a background in photography and community service at National Social Service, adept at applying data analysis and machine learning techniques. Proven ability to tackle complex societal challenges while enhancing technical skills in Python and deep learning. Strong communicator with a commitment to impactful solutions in diverse environments.

• Supervised Machine Learning
• Advanced Learning Algorithms
• Unsupervised Machine Learning

IPL Score Prediction

• Engineered features from IPL historical data, built an XGBoost regression model, achieving an MAE of 8 runs in score prediction.
• Utilized Scikit-learn for cross-validated model training, processed complex cricket datasets, and optimized feature importance for accurate IPL score predictions.
• Developed a regression model predicting IPL scores, implementing robust data preprocessing and feature engineering, and evaluating performance via RMSE and MAE.

National Social Service, Photographer and Volunteer, 02/01/23, 06/30/26, NSS volunteers perform community service in villages, slums, and voluntary agencies and has helped me in gaining different perspectives by exposing me to the challenges faced in working with diverse communities.