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Neeraj Ramkumar
Data Science at Capital One - - Columbia’20
Professional Background
Neeraj Ramkumar is a skilled Data Scientist with extensive experience in financial services and analytics. He has built a robust career at notable institutions like Capital One and Axis Bank, where he successfully contributed his expertise in areas such as Entity Resolution, Risk Modeling, Propensity Modeling, and Extract, Transform, Load (ETL) processes. Neeraj is adept at translating complex data findings into actionable insights and confidently presents these insights to leadership, bolstering decision-making processes.
At Capital One, Neeraj has held the position of Senior Associate in Data Science, where he has contributed to advancing data-driven strategies that enhance customer experience and optimize risk management processes. Prior to this, he honed his skills as a Data Science Intern, allowing him to get a solid footing in data manipulation and analysis techniques that are critical in finance.
Before joining the ranks of Capital One, Neeraj served as a Data Scientist - Assistant Manager in the Business Intelligence Unit at Axis Bank, where he demonstrated a deep understanding of financial data ecosystems and developed innovative solutions to meet business needs. His time at Axis Bank also included a role as an intern in the Business Intelligence Unit, where he became familiar with data-driven decision-making processes in the banking sector. Moreover, his journey in technology began with roles at Siemens and Larsen & Toubro Limited, where he gained valuable engineering experience primarily focused on R&D and electrical systems.
Education and Achievements
Neeraj holds a Master of Science in Business Analytics from the prestigious Columbia University in New York City. His academic pursuits at Columbia have equipped him with a comprehensive understanding of Personalization Theory, particularly in Recommender Systems, alongside demand analytics. His coursework also emphasized business-oriented subjects such as Business Analytics Strategy and Service Operations Management. These academic achievements illustrate his strong foundation in both technical analytics and business management, positioning him well to bridge the gap between data science and practical business applications.
Prior to his master’s degree, Neeraj completed a Bachelor of Engineering degree in Electrical, Electronics, and Communications Engineering at Dwarkadas J. Sanghvi College of Engineering. This background in engineering has made him adept at understanding complex systems, a skill that translates well into the world of data science, where analytical and problem-solving skills are paramount.
Skills and Tools
Neeraj's technical toolkit is impressive and includes advanced proficiency in programming languages and data analysis tools such as Python, R, PySpark, Tableau, and SQL. His experience in these technologies allows him to effectively explore, analyze, and visualize data, uncovering patterns and insights that can significantly impact business performance. His ability to utilize these tools in real-world settings is evidenced by his roles across various organizations, leading projects that require intricate data understanding and innovative solutions. Neeraj’s expertise in data visualization with Tableau enables him to create compelling visual narratives that convey his findings to both technical and non-technical stakeholders.
Notable Achievements
Neeraj’s journey has been marked by various accomplishments that highlight his passionate commitment to the field of data science. His successful transition from engineering to advanced data analytics speaks volumes about his adaptability and eagerness to embrace new challenges. One significant achievement includes the optimization and implementation of predictive models that have been employed within Capital One to measure and manage financial risks effectively. His work has led to crucial insights that support strategic decision-making, ultimately enhancing customer loyalty and satisfaction. Moreover, Neeraj's consulting experience at Roc Capital, where he served as a Student Data Science Consultant, facilitated his exposure to real-world business problems that demanded innovative analytical solutions, further solidifying his ability to work in fast-paced environments.
tags:[
Data Science
Entity Resolution
Risk Modeling
Propensity Modeling
ETL Creation
Business Analytics
Columbia University
Banking
Capital One
Python Programming
R Programming
PySpark
SQL
Tableau Visualization
Business Intelligence
Electrical Engineering
Columbia University MS
Dwarkadas J. Sanghvi College of Engineering
Data Visualization
Data-Driven Decision Making
Consulting
Financial Services