Dhananjay Srivastava

Experienced data science professional with ~3 years of end-to-end experience building Machine Learning APIs from EDA to Production. Product-driven mindset with experience in utilizing Generative AI, Classical ML, APIs, and MLOps to accomplish business objectives handling 10M$ revenue potentials.

• Revamped frequent text recommendation system for medical scribes; reduced model size by 1000x, resulting in increased accuracy by 20%, reducing turnaround time by up to 5%.
• Redesigned a Medical text classification system for document management, Increased model accuracy by 20%, reduced feature size by 50%, serving 10,000+ predictions daily.
• Played an integral part in cloud migrations (GCP), database migrations (MongoDB, MySQL), Autoscaling (Docker Swarm, GCP Cloud Run), and API Performance Tuning (Nginx, Query optimizations).
• Held responsibilities across the Machine Learning Life Cycle from EDA to production often presenting results to VP+ level management. 
• Mentored 10 new employees on company processes, values, and products while creating training material and leading companywide sessions (100s of attendees) on fundamentals of Python and Machine Learning.
• Awarded IKS Health Value Master Award for exhibiting exemplary on-the-job performance.

Currently pursuing my final semester at Indiana University Bloomington for a Master in Data Science. Current GPA: 3.9/4 studying Theoretical Machine Learning, Advanced Natural Language Processing, Advanced Database Concepts, and similar subjects. Competed in the MEDIQA challenge on using Generative AI for summarizing Doctor-Patient Conversations, ranked 5th, and published a paper at the prestigious ACL conference.