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Vikash Sharma
National Lead - EMI Card Portfolio at Bajaj Finserv - IIT Kharagpur
Vikash Sharma is a skilled Data Scientist with a strong background in implementing Machine Learning (ML) techniques and providing comprehensive solutions.
His specialties include Boosting, Bagging, Ensemble methods, Text Mining, Statistical Analysis, Predictive Modeling, Time Series Forecasting, and various ML algorithms like Gradient Boosting, Support Vector Machines, Random Forest, Neural Networks, and Ada-boost.
Proficient in Python, R, SAS, Py-Spark, and MySQL, Vikash has a solid foundation in programming and data analysis tools.
He completed his high school education focusing on Mathematics, Science, and Computers at Army Public School, New Delhi, with a remarkable 88% score.
Vikash further pursued a 5-year Integrated M.Sc. in Statistics and Informatics from the prestigious Indian Institute of Technology, Kharagpur, graduating with a commendable 7.81 out of 10 GPA.
Throughout his professional journey, Vikash has held key roles in renowned organizations, including being the National Lead for the EMI Card Portfolio at Bajaj Finserv.
In his previous positions, he served as the Vice President of Data Desk - Applied Data Intelligence at MSCI Inc., Assistant Vice President at Barclays in South Africa, Senior Statistical Consultant at UnitedHealth Group, and Analyst in the QA Team at Global Analytics India Pvt. Ltd.