Arjun Debnath
About Arjun Debnath
Arjun Debnath is a data scientist known for architecting an in-house framework for continuous model development and deployment. He has worked at several companies, including Truecaller and M&G plc, and has a strong background in managing large datasets using PySpark.
Current Role at Truecaller
Arjun Debnath has been working as a Data Scientist at Truecaller since 2022. In this role, he has architected and implemented a robust in-house framework for continuous model development and deployment. This framework includes proactive monitoring to ensure model integrity and performance, which is essential for maintaining high standards in data-driven decision-making.
Previous Experience in Data Science
Prior to his current position, Arjun Debnath worked at several notable organizations. He served as a Data Scientist at M&G plc from 2018 to 2020 in Ho Chi Minh City, Vietnam, and as a Principal AI Engineer at Kawa Space from 2020 to 2022 in the United Kingdom. His earlier experience includes a role as a Machine Learning Engineer at Quantiphi from 2017 to 2018 in Mumbai, India, and as a Business Analyst at EXL Services Ltd from 2016 to 2017 in Gurugram, India.
Educational Background
Arjun Debnath earned his Bachelor's degree in Engineering from Jadavpur University, where he studied from 2011 to 2015. This educational background laid the foundation for his career in data science and analytics, equipping him with essential technical skills.
Technical Skills and Expertise
Arjun Debnath leverages PySpark to manage and analyze vast datasets, handling billions of data points with high efficiency and scalability. His expertise spans multiple industries, including BFSI, E-commerce, Media, and Space systems, showcasing his versatility in applying data science techniques across different domains.
Achievements in Data Science Competitions
Arjun Debnath ranks in the top 3 percent of data scientists globally on Kaggle, a prominent platform for data science competitions. He has also earned multiple bronze medals, reflecting his strong analytical skills and ability to solve complex data problems effectively.