Summary
Preetam Paul is a Senior Data Scientist with seven years of hands-on experience building end-to-end AI and ML solutions that drive operational efficiency and cost reduction. He has led production projects across finance, telecom and IT services—predicting customer churn, automating lead classification, and forecasting high-priority IT incidents to enable proactive resourcing. Comfortable across classical ML, time series, and deep learning (ANN/CNN) pipelines, he pairs strong Python tooling (Pandas, Scikit-learn, PyTorch/TensorFlow) with cloud and orchestration experience (AWS, Redshift, Spark, Airflow, Kubeflow, Kafka). He also brings practical ETL and data-integration expertise (Informatica, Teradata, Hadoop) and a mix of R/SAS familiarity that smooths transitions between analytics stacks. Based in Toronto, he combines analytical rigor with production deployment know-how, frequently translating complex models into actionable dashboards and resource-planning forecasts.
5 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at JNTUH College of Engineering Hyderabad