Nishant Kumar
About Nishant Kumar
Nishant Kumar is an AI ML Lead at AIS, with extensive experience in machine learning and cloud computing, particularly with Microsoft Azure. He has held various roles in prominent companies, including Wells Fargo and Infosys, and possesses a strong academic background in artificial intelligence and engineering.
Current Role at AIS
Nishant Kumar serves as the AI ML Lead at Applied Information Sciences (AIS) since 2022. In this role, he focuses on leveraging artificial intelligence and machine learning technologies to drive innovative solutions. His responsibilities include overseeing machine learning projects and guiding teams in implementing AI strategies. Nishant's expertise in machine learning and data science contributes to the development of advanced analytical models and systems.
Previous Experience at Wells Fargo
Nishant Kumar worked at Wells Fargo India Solutions Private Ltd from 2018 to 2022, holding the positions of Assistant Vice President and Technology Specialist. During his four years in Bengaluru, he contributed to various technology initiatives and projects, enhancing the company's capabilities in financial services through technology solutions.
Professional Background at Infosys
Before his tenure at Wells Fargo, Nishant Kumar was employed at Infosys as a Technology Analyst from 2013 to 2018. His five years at Infosys involved working on technology-driven projects, where he developed skills in software engineering and project management within the technology sector.
Educational Qualifications
Nishant Kumar holds a Postgraduate Degree in Artificial Intelligence and Machine Learning from the Great Lakes Institute of Management, which he completed from 2019 to 2020. He also earned a Bachelor of Engineering (B.E.) in Electronics and Telecom from North Maharashtra University, graduating in 2009. His educational background provides a strong foundation in both theoretical and practical aspects of technology and data science.
Technical Skills and Expertise
Nishant Kumar possesses a diverse skill set in artificial intelligence and machine learning. He is experienced in cloud computing, particularly with Microsoft Azure, and has expertise in big data frameworks like Spark. His knowledge extends to statistical methods, deep learning architectures, and machine learning algorithms. He utilizes various data science libraries, including Scikit-learn, TensorFlow, and Keras, and is proficient in data visualization tools such as Tableau and Seaborn.