Summary
Arpan Majumdar is a Data Scientist with 10 years of experience building production-grade data pipelines and ML-driven features for retail, currently at NatWest Group after a high-impact tenure at Target. He combines strong engineering foundations in Java, Spring, Hibernate and big data stacks (Spark, Kafka, Hive, Druid) with hands-on ML work—shipping a GenAI RAG chatbot, transformer-based review keyword models, and regression scoring that materially increased product visibility and engagement. Arpan has modernized monolithic systems into event-driven architectures processing thousands of TPS and optimized search relevancy through analytics and hybrid retrieval with reranking. A Georgia Tech MS in Analytics and an EEE degree from NIT Warangal underpin his rigor; he’s equally comfortable prototyping chatbots and hardening large-scale streaming systems. Notably, he blends research-minded curiosity in digital image processing with practical deployment experience, making him effective at translating ML experiments into measurable business outcomes.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Analytics, GPA: 4, Master of Science - MS, Analytics, GPA: 4 at Georgia Institute of Technology
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at NIT Warangal
English