About

Harsha Donepudi is a highly skilled engineer and data scientist with a diverse background in technology and business. He is currently working as an Assistant Manager of Analytics at Netscribes, where he is part of the core machine learning and innovation team. Harsha's primary focus is on projects and MVP based on machine learning, NLP, and deep learning. He has direct interactions with clients and stakeholders for demos, requirement gathering, and developing required ML solutions. Prior to joining Netscribes, Harsha worked as a Senior Engineer of ML at Target, where he was responsible for developing product strategy and ML pipelines to identify vendor income leakage. Before that, he worked as an intern at Dell, where he developed a new CTB strategy for Dell's North American region to increase sales efficiency. Harsha created an algorithm in R using ARIMA and Hierarchal Time Series to predict the CTB number, and the accuracy of sales setting was pinned at 95%, compared to 91% from the current sales strategy. Harsha has an MBA from Indian Institute of Management Udaipur, where he specialized in Financial Mathematics. He also has a Bachelor of Technology in Engineering Physics from Indian Institute of Technology, Madras. Harsha's technical skills include ML, NLP, Python, Deep Learning, Java, Sentiment Analysis, Spark, Kafka, Spring, Parts-of-speech, Big Data, SQL, Hadoop, Elastic Search, Spring Boot, Apache Hive, Computer Vision, Word2Vec, Tokenization, Image Processing, Kubernetes, Docker, Data Scientist, Tensorflow, Pandas, Neural Networks, Microservices, DevOps, Pytorch, and Mobile. Overall, Harsha has 4.95 years of relevant experience in the field of analytics and machine learning. He is a highly motivated individual with a passion for solving complex problems and a track record of delivering high-quality solutions. Harsha is an excellent communicator and collaborator who enjoys working in a team environment.