Summary
Arunav Saikia is a Data Science Consultant based in Philadelphia with 11 years of analytics experience and 4+ years focused specifically on data science, statistical modeling, and machine learning across life sciences, healthcare, travel, retail, and entertainment. He blends academic rigor—MS in Data Science from Indiana University (3.95 GPA) and research in graph neural networks—with hands-on engineering using PySpark, Python, SQL, R and visualization tools like Tableau to move models into production. At ZS he has driven AI productization for drug discovery, RWD analytics, and observability at scale, while prior roles at Affine Analytics delivered measurable business impact such as predicting movie revenue with 85% accuracy and improving OTA email CTR and revenue. Comfortable translating ambiguous business questions into reproducible analytical solutions, he also brings niche strengths in Bayesian clinical-trial modeling, biomedical NLP, and knowledge-graph methods for search and QA. Known as an “engineer at heart” and visualization geek, he pairs deep technical skill with clear stakeholder communication to turn complex data into actionable decisions.
11 years of coding experience
4 years of employment as a software developer
School, 87.5, School, 87.5 at Don Bosco High School, Baghchung, Jorhat
Master of Science - MS, Data Science, 3.95/4.0, Master of Science - MS, Data Science, 3.95/4.0 at Indiana University Bloomington
Bachelor of Technology - BTech, Electronics and Communications Engineering, 8.5, Bachelor of Technology - BTech, Electronics and Communications Engineering, 8.5 at National Institute of Technology Silchar
High School, Science, 94.2, High School, Science, 94.2 at Delhi Public School, Guwahati
English, German