About

Mukesh Yadav is an experienced Lead Consultant at Genpact with a strong background in Python and machine learning development. With over 4 years of experience in the pharmaceuticals/OTT, marketing, finance, advertising, and software industries, he has developed expertise in Python, Flask, Django-Rest-Framework, databases, technology solutions, risk management, and web applications. Mukesh holds a Bachelor of Computer Science focused in Computer Science from the United Institute of Management, where he gained skills in machine learning. He also completed his 12th grade in Science Stream from SMLM Intermediate College and his 10th grade in Mathematics from MTS High School. He started his education in Mathematics and Computer Science from Devine High School. Throughout his career, Mukesh has held positions at L&T as a Senior Software Engineer and at D Cube Analytics as a Software Engineer. His current role at Genpact involves working with ML, computer vision, AI, deep learning, data scientist, Python, Django, Flask, web, software engineer, AWS, integration, infra, backend, NLP, test, Azure, Jupyter, Seaborn, CI/CD, Docker, Pandas, Jenkins, microservices, and Postgres. Mukesh is a skilled engineering professional who is passionate about using his expertise to solve complex problems in the industry. He has a demonstrated history of delivering high-quality technology solutions and implementing risk management strategies. With his strong technical skills and experience in machine learning, he is well-equipped to take on new challenges and drive innovation in the industry.