Nitin Agarwal
About Nitin Agarwal
Nitin Agarwal is the Director of Product & Business at OkCredit, where he has worked since 2023. He has a diverse background in product management and data science, having held various roles at companies such as Salesforce, Infosys, and Zapr Media Labs.
Current Role at OkCredit
Nitin Agarwal currently serves as the Director of Product & Business at OkCredit, a position he has held since 2023. In this role, he oversees product development and business strategies, contributing to the company's growth and innovation in the financial technology sector.
Previous Experience at OkCredit
Prior to his current role, Nitin Agarwal held multiple positions at OkCredit. He worked as a Product Manager for 7 months in 2021, followed by a role as Senior Product Manager for 2 months in 2022. He also served as Head of Lending Product for 8 months in 2022, where he focused on enhancing the lending solutions offered by the company.
Professional Background in Data Science
Nitin Agarwal has a robust background in data science, having worked at Salesforce as a Senior Data Scientist and Data Scientist from 2017 to 2019. His experience includes advanced data analysis and the application of machine learning techniques. He also served as a Research Scientist at Zapr Media Labs for 2 years, where he further developed his expertise in data-driven solutions.
Educational Qualifications
Nitin Agarwal earned his Bachelor of Technology (BTech) in Chemical Engineering from the Indian Institute of Technology, Kanpur, from 2009 to 2013. His education provided a strong foundation in engineering principles, which he later applied in various technology and data science roles.
Expertise in Machine Learning and NLP
Nitin Agarwal possesses extensive expertise in machine learning, particularly in implementing advanced algorithms such as Deep Learning and Neural Networks. He is skilled in using TensorFlow for machine learning projects and has a strong background in Text Mining and classification algorithms, including Random Forests, Decision Trees, Naïve Bayes, and SVM. Additionally, he has knowledge in Neuro-Linguistic Programming (NLP) and Text Classification.