Mr. Mamidi Ratna Abhishek
Achiever's Success Story
Mr. Mamidi Ratna Abhishek’s success story of driving AI Innovation and Knowledge Sharing
Mr. Mamidi Ratna Abhishek, a Machine Learning Specialist with six years of AI expertise, has been at the forefront of AI-driven innovation, delivering impactful solutions across industries. With an MTech in Data Science and Engineering from BITS Pilani and a BTech (Honors) in Electronics and Communication Engineering (ECE), he combines deep technical expertise with a passion for problem-solving.
His academic journey was marked by excellence, securing a spot on the Dean’s List for four consecutive semesters. From his undergraduate days, he developed a strong interest in teaching, serving as a Teaching Assistant for six semesters, mentoring juniors in C, Data Structures, and Linear Algebra.
Currently a Senior Data Scientist at Swiggy, he has led AI-driven transformations in AdTech and Demand Forecasting, driving revenue growth through unconstrained demand estimation, keyword-based product ranking, search query expansion, customer personalization, and delivery fee optimization via Multi-Armed Bandits (MAB). His work on Ads frameworks for automatic bidding, reserve pricing, and winning bid strategies has significantly improved marketplace efficiency and customer experience. Recognized for his contributions, he has been awarded Swiggstar three times.
His previous experience at ZS involved developing AI solutions for physician targeting, churn prediction, personalized recommendations, and resource optimization in the pharma and airline industries. He played a key role in building two AI-powered products—one for B2B and another for B2C—to enhance decision-making and efficiency. Additionally, he delivered three high-impact client projects, optimizing offer recommendations, resource allocation, and customer segmentation. His contributions helped pharmaceutical companies improve salesforce efficiency and physician engagement, while his airline industry work focused on revenue optimization and customer retention.
He has built scalable AI solutions across industries, leveraging Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs) to improve revenue and efficiency.
A passionate educator and AI thought leader, he has actively shared knowledge through his YouTube channel and blog, where he has published 25+ articles and 25+ videos, accumulating over 150k+ views. His 250+ LinkedIn posts have helped AI/ML enthusiasts worldwide, earning him 10k+ followers.
With expertise in Python, PySpark, Keras, XGBoost, and Transformers, and experience with Databricks, AWS, and Azure Synapse, he continues to drive AI innovation while empowering the next generation of AI professionals.
