Bismayan Chakrabarti
Machine Learning Lead / Vice President at Credit Suisse
- Role
- Vice President Machine Learning Lead at Credit Suisse
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Bismayan Chakrabarti
Machine Learning Lead with expert knowledge of ML and Deep Learning. 6+ years of hands-on experience in driving Agile Machine Learning projects combining state of the art models with scalable ETL pipelines. Highly skilled communicator who excels at conveying intricate Machine Learning concepts to business users. Skills • Languages – Python, SQL, Scala, Bash, Fortran. • Machine Learning– TensorFlow, Keras, Hugging Face, PyTorch, Scikit-learn, H2o, Prophet. • ETL– PySpark/ Spark, Pandas, NumPy, Impala, Hive, BigQuery, Hadoop • CI/CD and Project Management– Git, Subversion, Bitbucket, Jenkins, Docker, OpenShift, Confluence. • Visualization, Monitor and Scheduling – Matplotlib, Plotly, Qlik, Tableau, Dash, ControlM, Airflow. • Cloud – Google Cloud Platform, Databricks, Azure. • Development Tools – Jupyter Notebook, JupyterLab, PyCharm, IntelliJ, Google Colab.
Experience
Vice President Machine Learning Lead
Jan 2023 — Present · New York, NY, US
Machine Learning lead for 15-member Innovation team responsible for transforming strategic financial data pipelines by harnessing the power of AI/ML. • Designed, developed, and productionized multiple strategic AI/ML solutions focusing on cutting edge algorithms in anomaly detection, forecasting, classification, NLP, and clustering. • Delivered solutions that were voted “Most Innovative Project” for 3 consecutive years by 85+ Managing Directors across the firm at the Global Managing Directors Conference, as well as “Innovation of the Year” twice at firm-wide Innovation conference. • Ensured all projects were delivered to the highest quality standards which led to models being successfully reviewed and approved by the Model Risk Management (MRM) function as well as the Federal Reserve. • Drove the DevOps transformation for umbrella 70-member team so that team adopts best practices in Agile CI/CD-compliant development. • Groomed the data science talent of the future by training and managing 10+ incoming Technical Analysts and interns who went on to have highly successful careers within the firm.
Education
Indian Institute of Technology, Kanpur
Master of Science (M.Sc.), Physics, 8.5/10
2006 — 2011
Rutgers University-New Brunswick
Doctor of Philosophy (Ph.D.), Physics, 3.96/4.00
2011 — 2017
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