About

Suprabath Reddy is a passionate Data Scientist with a Bachelor's degree in Electrical Engineering and a minor in Computer Science from the prestigious Indian Institute of Technology, Hyderabad. With 2.5 years of experience in the industry, he has a profound understanding of how to translate business problems into data science problems and build solutions. Suprabath's expertise lies in building solutions in Multi-Modal AI (with NLP), Computer Vision, and Prediction Systems using Deep Learning. He has a strong command of various programming languages and frameworks such as Python, C++, SQL, Keras, Tensorflow, Pandas, Scikit-Learn, Numpy, NLTK, Spacy, Matplotlib, OpenCV, and Django. As an Assistant Manager (Data Scientist) at Zensar, Suprabath is a member of their Artificial Intelligence Team at Zenlabs, Innovation and Research Centre. He is working on a financial platform where he is performing stock prediction using a Multi-modal AI system from different data sources. He has also worked on building a Multi-Modal AI-based Demand Forecasting system that considers Google trends, news articles along with the historical sales/demand data to create a robust forecasting engine sensitive to real-life events. Suprabath has designed and developed a retail counter management system that analyzes queue time, processing time, etc. near the service counter using the feed from a CCTV camera with person tracking techniques to calculate different metrics that indicate daily store activity. He has also worked on an Image Processing tool for a client that clusters noisy images based on different indicators using computer vision. Moreover, he is currently working on automating different assets for Game Testing and building a generalized model for automating different assets for Game Testing using object detection and OCR techniques. Suprabath has also worked as an Associate Innovation Engineer at Zensar where he designed and developed a prototype of a product defect solution using semantic segmentation and classification techniques. He helped to detect the exact location and class of defects from an image and designed an Image Recognition solution which has a plug and play API for training model (using images from the user), model selection, and testing on the model selected. In addition to his professional experience, Suprabath has also been the Head of Technical Competitions, Hackathons, Exhibitions, and Workshops at Elan & ηVision, IIT Hyderabad. With a relevant experience of 3.87 years, Suprabath is a highly skilled and dedicated Data Scientist