Vikrant Deshpande is a Senior Data Scientist based in Seattle with eight years of experience turning messy data into actionable predictive models and scalable analytics. He blends software development and data engineering fluency—Python, PySpark, Airflow, Docker, Kafka and cloud—to take models from experimentation to production. His strength is rigorous statistical thinking (A/B testing, power analysis, ANOVA) combined with modern ML techniques from gradient boosting to transformers and time-series forecasting. Vikrant has applied this hybrid skillset across industry and research roles, from Deloitte engagements to data science research at Indiana University and recent enterprise work at SS&C. Known for adaptive intelligence and an eye for innovation, he often bridges product and engineering teams to deliver measurable business impact. Outside core work he contributes code and experiments on GitHub as a full-stack data scientist, signaling practical, hands-on mastery beyond models in notebooks.
7 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Indiana University Bloomington
(Higher Secondary Certification) General Studies, (Higher Secondary Certification) General Studies at Loyola High School & Junior College Pune
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Maharashtra Institute of Technology
A Flask app with an easy-to-use frontend that's intended for generating a configuration excel, given an input XML/XSD file (ie- Extensible Markup format to Relational schema)
Contributions:6 PRs, 24 pushes, 1 branch in 2 years 10 months
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