About

Naga Venkata Sai Varanasi is a highly skilled Senior Data Scientist at Walmart with a wealth of experience in Natural Language Processing, Computer Vision, Machine Learning, and Software Development. He possesses a strong proficiency in programming languages like Python and JavaScript and is well-versed in deep learning libraries such as Tensorflow, Pytorch, and tfjs. Naga is a data analysis expert, with a keen eye for data visualization using Matplotlib and Seaborn. He is also well-versed in computer vision libraries such as OpenCV and pointcloud. Additionally, he has experience in Reinforcement Learning and Federated Learning, having worked with OpenAI, pysyft, and flower. He is skilled in Natural Language Processing Libraries such as NLTK and is proficient in web development using Flask, HTML, CSS, and JavaScript. Naga has worked with Walmart for over 3.78 years, where he currently holds the position of Senior Data Scientist. Prior to this, he worked as a Data Scientist at Walmart and a Software Engineer, Machine Learning at f inverse llc. At f inverse llc, he was responsible for building federated AI engines to predict customer journeys for marketing analytics. He also performed unsupervised feature extraction on text and image data for web pages using Deep Autoencoders and developed real-time Edge computation capable secure and privacy-preserving AI solutions using Deep Reinforcement Learning and Federated Learning. Naga holds a Master's degree in Computer Engineering from the University of Florida, where he graduated in 2020. He also holds a Bachelor's degree in Electrical and Electronics Engineering from Osmania University, where he graduated in 2018. With a strong tech stack that includes Data Science, Research Science, Computer Vision, Javascript, NLP, Reinforcement Learning, Web, Seaborn, AI, OpenCV, ML, Software Engineering, Deep Learning, Tensorflow, Pytorch, Python, Pandas, Flask, and Docker, Naga is a highly skilled and experienced data scientist with a passion for delivering innovative solutions to complex problems.