Deepak Bhandari
About Deepak Bhandari
Deepak Bhandari is a Business Data Scientist with extensive experience in data analytics and supply chain transformation. He has worked for notable companies including ValueLabs, Subex Ltd, and JCPenney, and currently holds a position at Kinaxis in Bangalore.
Work at Kinaxis
Deepak Bhandari has been employed at Kinaxis as a Business Data Scientist since 2021. In this role, he collaborates with cross-functional teams, including Product Data Scientists and Machine Learning directors. His responsibilities include leading customers in defining and implementing value metrics and key performance indicators (KPIs) for AI and machine learning models. He also provides ongoing support and thought leadership to enhance customer AI and ML models.
Previous Experience at ValueLabs
Prior to his current position, Deepak Bhandari worked at ValueLabs as a Senior Executive in Data Analytics from 2014 to 2016. During his two-year tenure in the Hyderabad Area, India, he gained experience in data analytics and contributed to various projects that involved data-driven decision-making.
Experience at Subex Ltd
Deepak Bhandari served as a Senior Data Analyst and Analytics Consultant at Subex Ltd from 2016 to 2017. His role involved analyzing data to provide insights and recommendations, further enhancing his expertise in data analytics within the Bengaluru Area, India.
Tenure at JCPenney
From 2017 to 2021, Deepak Bhandari worked as a Data Scientist at JCPenney in the Bengaluru Area, India. In this position, he focused on deploying data science techniques and tools, contributing to the company's analytics capabilities and supporting various data-driven initiatives.
Education and Expertise
Deepak Bhandari holds a Bachelor of Technology (BTech) in Electronics and Communications Engineering from Uttar Pradesh Technical University. He also completed coursework in Computational Finance and Financial Econometrics through Coursera. His technical skills include proficiency in programming languages such as SQL, R, Python, and PySpark, which support his work in data science and analytics.