Summary
Arpit Rathore is a Senior Data Scientist and Generative AI engineer with 8 years of experience building production ML systems across Canadian federal departments. He has led end-to-end projects using LLMs, NLP, ensemble learning, and deep learning to automate tax processing, detect fraud in high-volume transactional data, and generate non-compliance indicators for targeted enforcement. Comfortable with big data stacks and tooling—PostgreSQL, Apache AGE, TensorFlow/PyTorch, OpenCV/Tesseract, Dash, Azure—he bridges data engineering, model development, and delivery into dashboards and real-time pipelines. He has hands-on experience operationalizing ML at scale (100M+ records, millions/day ingestion) and has presented work to senior leadership to inform policy and risk decisions. Based in Ottawa, he pairs a strong research background (MSc Applied Data Science) with practical system administration and cloud workspace management, an uncommon blend that speeds deployment and stakeholder adoption. His work is notable for combining graph/network analyses with text analytics to reveal insights that traditional pipelines miss.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Software and Media Applications, Bachelor's degree Computer Software and Media Applications at JECRC University
Master of Computer Applications Data Science, Master of Computer Applications Data Science at Vellore Institute of Technology
Master of Science - MS Applied Data Science (MDTI), Master of Science - MS Applied Data Science (MDTI) at University of Ottawa