Kausik Chattapadhyay is a Senior Software Engineer and data scientist with nine years of experience building large-scale payment and analytics systems and applying Big Data and machine learning technologies across enterprises. He blends mainframe and Java expertise with modern data stacks—Spark, Hive, HBase, Kafka and PySpark—to deliver production-ready analytics, ETL pipelines and decisioning platforms for high-volume merchant payments. Kausik has hands-on ML and deep learning experience, notably training a CNN on 22k paintings that identified Picasso works with 92% validation accuracy, and he documents many projects on his active GitHub. His background includes leading SDLC and Agile efforts, BI and forecasting solutions, fraud detection, and DB2/mainframe integrations that drove measurable business outcomes. With an MBA and formal data science training, he pairs technical depth with product and stakeholder-facing analytics leadership. Based in Baltimore, he is seeking senior roles in data science, machine learning engineering, or data management where he can bridge legacy systems and modern AI solutions.
8 years of coding experience
14 years of employment as a software developer
Bachelor of Engineering, Bachelor of Engineering at Bengal Engineering and Science University, Shibpur
Data Scientist, Machine Learning, Deep Learning, Python, Statistical Analysis., Data Scientist, Machine Learning, Deep Learning, Python, Statistical Analysis. at Springboard
Master of Business Administration (MBA), Executive certificate in Management Program, 90%, Master of Business Administration (MBA), Executive certificate in Management Program, 90% at McIntire School of Commerce
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Kausik Chattapadhyay - Senior Software Engineer at Fiserv