About

Ajay Sharma is a highly skilled data scientist with 6.6 years of experience in applying various techniques such as machine learning, deep learning, statistics, and NLP. He has a strong ability to communicate complex mathematical concepts to non-experts and is proficient in building and implementing scalable machine learning models in production using Pyspark. Ajay has also worked with cloud technologies and frameworks such as Docker, Kubernetes, and Jenkins for building CICD pipeline, Databricks on resource provider Azure and AWS. Currently working as a Data Scientist at UnitedHealth Group, Ajay has contributed to various projects such as the Voice Analytics Platform, where he improved the existing transcription engine by utilizing the latest state-of-the-art model for automatic speech to text transformer based model – wav2vec2. He has also worked on the Process Mining Tool, which is a product that supports the analysis of operational processes based on event logs/footprints and provides insights and predictive capability using machine learning and reinforcement learning. Before joining UnitedHealth Group, Ajay worked as a Data Scientist at Incedo, where he developed solutions for helping clinical trial leaders to select the best clinical site for successful clinical trials for one of the leading American biotechnology pharma clients, Genentech. He also developed a loan rate reduction strategy and risk adjustment solution for a banking client, Banco Popular, which incorporates financial and situational distress from COVID pandemic. As a Machine Learning Engineer at PeopleStrong, Ajay contributed to various projects, including Automated Job Candidate Matching, Bill Parsing Utility, and Parsing engine and Question generation System. He has expertise in using various technologies such as TensorFlow, Elasticsearch, Flask, TesseractOCR, Google Vision API, openCV, AWS Lambda, DialogFlow Google Chatbot Service, and QNA Maker Azure API. Ajay holds a Bachelor of Technology degree in Computer Science from Lingaya's University and has a relevant experience of 7.69 years. He is proficient in various technologies such as Data Scientist, Research Scientist, ML, AI, AWS, Python, Reinforcement Learning, Docker, Databricks, Azure, Kubernetes, Microservices, Deep Learning, NLP, SQL, Jenkins, Mobile, Flask, Word2Vec, Parts-of-speech, OpenCV, Elastic Search, and Android.