About

Sanghamesh S Vastrad is a highly skilled Data Scientist with over 4 years of cross-industry experience in leading end-to-end data/ML lifecycles. Currently working at Google, he is responsible for planet-scale data science at GCP, data-driven StratOps optimization for cloud customer experience, and ML assisted self-service and routing. Before joining Google, Sanghamesh worked at Geotab as a Data Scientist where he developed semi-supervised ML approach for collision detection using vehicle dynamics data. He containerized ML models and integrated them into production workflows, built ETL pipelines for feature engineering, and scheduled model predictions. His expertise in technologies like Airflow, BigQuery, MLflow, Docker, Redash, Kubernetes, Tensorflow, and GCP helped him drive impactful results. Sanghamesh also worked as a Machine Learning - Applied Research Intern at ICICI Bank where he was the sole member of the Data Science and Analytics Group. He improved credit underwriting Gini coefficient by developing an ensemble model consisting of XGBoost, LightGBM, and a neural network (with LSTMs and 1D Convolutions). He cut down data dimensionality by 55% using Shapley model explanations and manifold learning techniques like Locally Linear Embeddings and t-SNE. He also optimized AUC using synthetic data generation using a combination of SMOTE and CTGAN (Conditional GAN for Tabular Data) after researching best-suited techniques for handling imbalanced datasets. Sanghamesh used Latent Dirichlet allocation (LDA) for customer segmentation to identify clusters where the model does not perform well. Sanghamesh holds a Master of Science in Applied Computing (MScAC) degree in Data Science from the University of Toronto and a Bachelor of Engineering (BE) degree in Computer Science from Vishveshwaraiah Technological University. His tech stack includes Data Scientist, Research Scientist, ML, GCP, Apache Airflow, Kubernetes, Docker, Tensorflow, ETL, XGBoost, GAN, Neural Networks, and more. With 3.94 years of relevant experience, Sanghamesh is a highly capable professional who can drive dollar value impact with product and customer data opportunities.