Prashant Jindal

Data Enthusiast|| Making sense out of Data || Transforming Data into Insights @ Moody's

Noida, Uttar Pradesh, India

Linear Algebra Regression Models Regression Analysis Linear Regression Data-driven Decision Making Fraud Detection Statistical Modeling Business Analytics Machine Learning Analytics

A result-oriented professional with 5+ years’ industry experience as BA/Analyst in MNC and startup's, who thrives on confidence, looks for excellence in solving business problems with a knowledge base in Banking, Telecom, e-commerce for Analytical solutions with a track record of driving and leading cross-functional product teams.


Delivery Lead at Moodys Analytics

Dec 2016 - Present

Provided end to end execution of projects, Statistical Analysis & predictive analytics for Banking services based on industry trends Determined product feasibility by evaluating problem definition, requirements, recommending solution development, performing analysis on historical data Presented strategic recommendations to a Client, after extensive analysis of the customer behavior

Senior analyst at Limetray

Jan 2016 - Oct 2016

Provided solution to F&B organizations for Revenue management, customer experience Introduced a platform to retailers for Consumer decision making using Payment & Order Analytics  Improved operations by performing systems analysis; recommending changes in strategies Recommended strategies to Clients, to increase average bucket size, after extensive analysis of order

Senior Analyst at Aricent

Jul 2011 - Jan 2016

Provided end to end execution of analytics driven projects, performed predictive analytics for Telecom services based on industry trends Used historical data analysis to determine product feasibility by evaluating requirements, recommending feasible solution development  Recommended product strategies to a Client, after extensive analysis of the customer behavior.


Business Analytics & Management Information Science at Indian School of Business

Jul 2015 - Aug 2016

Learnt various analytical approach and modeling techniques required to solve a Business Problem. Business Fundamentals - Statistical Analysis - Predictive Modeling - Data Visualization - Data Management - Forecasting Analytics - Operations Management:Simulation & Optimization - Contemporary Analytics:Customer Analytics & Strategies for New Product Development - Pricing Analytics for Revenue Management

Computer Science at BMS College

Jul 2007 - May 2011

Push pixels...
Shovel coal into server...
Create mockups...
Defend the wall...
Draft storyboard...
Disrupt an industry...
Achieve profitability...
Become a unicorn...
Become Batman...