Nilesh Kumar

Nilesh Kumar

Senior Nlp Scientist @ Uniphore

About Nilesh Kumar

Nilesh Kumar is a Senior NLP Scientist currently working at Uniphore in Bangalore Urban, Karnataka, India. He has extensive experience in data science and software engineering, having previously held positions at 24]7.ai, IGATE, and Capgemini.

Current Role at Uniphore

Nilesh Kumar serves as a Senior NLP Scientist at Uniphore, a role he has held since 2021. Based in Bangalore Urban, Karnataka, India, he focuses on developing natural language processing solutions to enhance customer interactions. His work involves applying advanced AI techniques to improve communication efficiency and effectiveness.

Previous Experience at 24 7.ai

Prior to his current position, Nilesh worked at [24]7.ai as a Senior Data Scientist from 2018 to 2021 in Bengaluru, Karnataka, India. During his tenure, he contributed to various data-driven projects, utilizing machine learning and NLP to optimize customer engagement strategies.

Professional Background at IGATE and Capgemini

Nilesh Kumar has a diverse professional background, having worked at IGATE as a Senior Software Engineer from 2014 to 2016. He also held the position of Senior Analyst Consultant at Capgemini from 2016 to 2017. His roles in these organizations involved software development and analysis, contributing to various technology projects.

Education and Expertise

Nilesh Kumar earned his Bachelor of Engineering in Computer Science from Dayanandasagar College of Engineering, where he studied from 2010 to 2014. He also completed his early education at Raja Ram Mohan Roy Academy from 1998 to 2010. His educational background provides a strong foundation in software development and data analysis, complemented by expertise in Agile and Scrum methodologies.

Key Projects and Contributions

Throughout his career, Nilesh has developed AI-powered chatbots using NLP models such as Support Vector Machines (SVM) and Deep Neural Networks (DNN) for high-volume clients in the US. He has also created Interactive Voice Response (IVR) models that incorporate Automatic Speech Recognition (ASR) for clients in the UK and US, achieving significant revenue savings through the optimization of chat and call flows.

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