Priyanshu Jain

About Priyanshu Jain

Hello! I\'m Priyanshu Jain, a passionate Data Scientist and Machine Learning enthusiast. Currently pursuing my Master of Science in Data Science at Stony Brook University, I\'m deeply immersed in the world of AI, machine learning, and big data analytics. My journey in tech began at Medi-Caps University, where I earned my Bachelor\'s in Information Technology. My professional experience spans roles as a Graduate Research Assistant at Stony Brook Medicine and a Data Scientist at Tata Consultancy Services. I\'ve had the opportunity to work on cutting-edge projects, from applying DNABERT for predicting disease-associated genetic variants to optimizing payment processes for Jaguar Land Rover using advanced time series and deep learning models. My technical toolkit includes proficiency in Python, R, Java, and various ML frameworks like TensorFlow and PyTorch. I\'m well-versed in cloud technologies (AWS/GCP) and big data tools (Spark, Hadoop, Kafka), enabling me to build scalable, efficient data solutions. I\'m passionate about leveraging AI to solve real-world problems. Some of my recent projects include developing a Knowledge Graph RAG Chatbot for financial queries and creating an emotion classification system using transformer models. I\'m proud to have received the TCS Gems - Technical Excellence award and to have won the Smart India Hackathon for an innovative banking automation solution. Beyond my technical pursuits, I\'ve been involved in mentoring students in logical and mathematical skills, demonstrating my commitment to giving back to the community. I\'m always eager to connect with fellow data enthusiasts, researchers, and professionals in the tech industry. Whether you\'re interested in discussing the latest in AI, exploring collaboration opportunities, or just want to chat about data science, feel free to reach out! Here are some highlights:🧬 Applied DNABERT to predict disease-associated genetic variants, improving classification accuracy by 20%. Optimized Jaguar Land Rover\'s payment processes, boosting transaction accuracy by 15% and customer engagement by 20%.🤖 Developed a Generative Event Factuality Prediction system using BERT and GPT-4, improving accuracy by 15%. Integrated AWS cloud services for scalable data storage and real-time analytics, enhancing operational efficiency by 35%. Let\'s connect to discuss data science, AI innovations, or potential collaborations in the world of technology and machine learning!

Experience

1. Software Engineer

   Amazon

   Aug 2025 — Present · Seattle, WA, US

   Amazon Access- A group among Everyday Essentials tech for enabling Underserved Populations to use their govt. EBT, SNAP, Healthcare benefits(HSA/FSA, Optum, Incomm integration ) on Amazon.com for millions of customers.Main Focus- Making foods, grocery, daily essentials, Healthcare Benefits, Retail Products, Online purchasing accessible, independent of location, payment methods

Education

• Medicaps University

  Bachelor of Technology - BTech, Information Technology

  2017 — 2021

• Stony Brook University

  Masters in Data Science, Data Science