Saurabh Verma
@saurabh_verma
Data Scientist at Vodafone Intelligent Solutions (VOIS)
Marathalli, Bangalore
Saurabh Verma is a Data Scientist with extensive experience in developing advanced predictive models and performing complex data analysis. His expertise includes using clustering techniques like CLARA and K-means for user segmentation and profiling. He has successfully built Churn Propensity Models and utilized methodologies such as Singular Value Decomposition (SVD) and Time Series Forecasting to provide actionable business insights. He is proficient in Python, R, and various visualization tools like Tableau and Power BI.
Experience
Data Scientist
Vodafone Intelligent Solutions (VOIS)
Developed User Segmentation for mobile banking customers using CLARA clustering. Built a Churn Propensity Model using boosting methodology and ensemble models. Evaluated training effectiveness for Enterprise Capability Management. Defined quantitative manager performance using Kernel PCA and K-means. Used Singular Value Decomposition (SVD) for product recommendation and k-means for customer profiling. Also responsible for insight generation for news and events, maintaining Tableau reports on visibility and sentiment analysis, and tracking key business KPIs.
Digital Media Analyst
Fiords Technologies (Locus Elite)
Created a Time Series forecasting product using multiple models, selecting the one with the least MAPE for planning activities across finance, marketing, and resourcing.
Education
Fergusson College (University of Pune)
M.A. Economics
Economics
Fergusson College (University of Pune)
B.Sc. Statistics
Statistics