Raj Biswas is a strategic industry leader in solutions architecture with 10+ years driving enterprise data and AI transformations from Sugar Land, Texas. He has led large global teams and built unified analytics platforms and production-grade MLOps across roles at Databricks, Microsoft, Neudesic and GEP, consistently translating data investments into measurable revenue and operational gains. Known for modernizing legacy systems—such as a high-impact collateral analytics re-architecture at JPMorgan Chase—he combines deep hands-on expertise in big data, Spark/Hadoop and cloud-native AI with board-level product strategy. As Chair Elect at Houston Community College and a practitioner with a Data Science MS, he also bridges industry and education to scale talent and impact. A pragmatic builder who values reusable architectures and ROI-driven roadmaps, he quietly accelerates adoption by turning complex analytics into repeatable platforms.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Bellevue University
B-Tech Electrical Engineering, B-Tech Electrical Engineering at West Bengal University of Technology, Kolkata
High School Mathematics Physics Statistics, High School Mathematics Physics Statistics at South Point High School, Kolkata
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
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