Varma Dmr

Data Scientist @ Trax

About Varma Dmr

Varma Dmr is a data scientist with extensive experience in the field, having worked at Trax Retail since 2019 and previously at John Hancock, Con Edison, and BDM Innovations. He holds two master's degrees in Electrical and Electronics Engineering and Information Technology.

Current Role at Trax Retail

Varma Dmr has been employed as a Data Scientist at Trax Retail since 2019. In this role, Varma focuses on leveraging data analytics to enhance retail operations and improve decision-making processes. The position involves utilizing advanced statistical methods and machine learning techniques to analyze large datasets, providing insights that drive business strategies.

Previous Experience at John Hancock

Varma Dmr worked as a Data Scientist at John Hancock for 11 months in 2018. Based in New York, Varma contributed to data-driven projects aimed at optimizing financial services. This position involved analyzing complex datasets to support business objectives and improve customer experiences.

Experience at BDM Innovations

Varma Dmr served as a Data Engineer at BDM Innovations from 2013 to 2015. During this two-year tenure, Varma was responsible for developing and maintaining data pipelines and ensuring data integrity. This role provided foundational experience in data management and engineering practices.

Role at Con Edison

Varma Dmr held the position of Associate Data Scientist at Con Edison from 2016 to 2017. In this role, Varma worked on data analysis projects that supported the utility company's operational efficiency and service delivery. The experience contributed to Varma's expertise in applying data science within the energy sector.

Educational Background

Varma Dmr earned a Master's degree in Electrical and Electronics Engineering from Fairleigh Dickinson University, studying from 2015 to 2016. Following this, Varma pursued another Master's degree in Information Technology at Campbellsville University from 2018 to 2019. This educational background provided a strong foundation in technical skills relevant to data science.

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