Nagesh Singh Chauhan
About Nagesh Singh Chauhan
Nagesh Singh Chauhan is a Data Specialist with extensive experience in data science and machine learning. He actively contributes to the open-source community and has held various roles in notable companies, including RealPage, TEG Analytics, and Ericsson.
Work at AIS
Nagesh Singh Chauhan currently serves as a Data Specialist at AIS (Applied Information Sciences) since 2021. His role involves leveraging data science techniques to solve complex problems and deliver insights. He has been with the company for three years, contributing to various projects that enhance data-driven decision-making processes.
Professional Experience
Nagesh has a diverse professional background in data science and analytics. He worked at RealPage, Inc. as a Developer III focusing on Machine Learning for five months in 2021. Prior to that, he was a Big Data Analyst at TEG Analytics for one year from 2017 to 2018. He also held the position of Data Scientist at CirrusLabs for one year from 2019 to 2020 and worked as a Solution Integrator at Ericsson from 2015 to 2017.
Education and Expertise
Nagesh Singh Chauhan earned his Bachelor of Technology (BTech) in Computer Science from Sikkim Manipal Institute of Technology, completing his studies from 2010 to 2014. He possesses a strong foundation in probability and statistics, which supports his work in machine learning and deep learning. His expertise spans various domains of data science, including text analysis, natural language processing, and computer vision.
Open Source Contributions
Nagesh actively contributes to the open-source community through his GitHub profile, where he shares projects and code related to data science. His contributions reflect his commitment to collaborative development and knowledge sharing within the data science field.
Technical Writing
In addition to his technical roles, Nagesh writes technical articles on data science topics. His articles are published on the website www.theaidream.com, where he shares insights and knowledge on various aspects of data science, further establishing his expertise in the field.