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Yogita Kwatra

Summer Internship

Lead Data Scientist at Verisk

Buffalo Grove, Illinois

Section title

Yogita Kwatra's Email Addresses & Phone Numbers

Yogita Kwatra's Work Experience

ArcelorMittal

Summer Internship

June 2009 to August 2009

TransUnion

Statistical Analyst

July 2013 to March 2014

Evalueserve

Business Analyst

December 2006 to February 2007

Yogita Kwatra's Education

Hansraj College

Bachelor's degree, Economics

2003 to 2006

Institute of Actuaries

Cleared 2 papers - CT3 - Probability and Statistics and CT7 - Economics, Actuarial Science

Delhi School of Economics

Masters, Economics

2007 to 2009

About Yogita Kwatra's Current Company

ArcelorMittal

Formulated the strategy for the India market by estimating the Steel Demand and also the product mix for the four Infrastructure Sectors, Power, Oil and Gas, Railways, Roads and Highways in the next 4 to 5 years.

About Yogita Kwatra

📖 Summary

Summer Internship @ ArcelorMittal Formulated the strategy for the India market by estimating the Steel Demand and also the product mix for the four Infrastructure Sectors, Power, Oil and Gas, Railways, Roads and Highways in the next 4 to 5 years. From June 2009 to August 2009 (3 months) Statistical Analyst @ TransUnion From July 2013 to March 2014 (9 months) Business Analyst @ Evalueserve From December 2006 to February 2007 (3 months) Analyst @ Statefarm bank Responsible for forecasting the losses on retail portfolio - Vehicle, Mortgage, Home equity and Financial cards using credit risk models. From March 2014 to September 2017 (3 years 7 months) Lead Data Scientist @ Verisk Detailed project tasks and responsibilites inlcude - - Project understanding- Exploratory Data Analysis- Feature Engineering- Model Development- Model Reviews- IT/Filing Support Buffalo Grove IllinoisSenior Data Scientist @ Verisk Working on Personal Lines products in the Insurance Analytics Team.- Build a pricing model for Home owners fire peril. It was a part of product enhancement by utilizing over 1500 variables. The feature selection utilized machine learning techniques . The ultimate model built was based on Generalized linear models.- Build a pricing model for Personal auto for Collision coverage. Involved feature selection using machine learning, model build using GLMs. Model reviews involved presentations to leadership and product team. From October 2017 to January 2019 (1 year 4 months) Buffalo Grove, IllinoisAssistant Manager @ EXL Services Ltd - Impact Analysis framework on “what if scenarios” of price changes of personal auto product – > Developed a robust framework to gauge the impact of multiple price changes on key financial metrics for assisting state product managers in decision making. > Identified KPIs such as conversion rates, retention rates, loss ratios, average premium etc. Generated insights, analyzed trends, identified reasons for unexpected trends before taking them to business. > Reduced turnaround time by efficiently developing a repeatable process for multiple states/channels beginning from data collection, data processing, models scoring and exhibits generation.- Led a team of 2 people through their project understanding, data orientation, and quality deliverables in particular and mentoring, coaching them in general.- Responsible for project management, client communication and successful delivery.- Prepared presentations for new clients for business development. From January 2013 to June 2013 (6 months) Gurgaon, IndiaSenior Programmer Analyst @ Inductis - Issue Rate/Conversion Modeling – > Developed a logistic regression model using Emblem to identify the potential factors affecting the conversion of quotes to policies for quotes through phone and internet.> Analyzed competitor’s data, driver characteristics, census data, HLDI datasets for preparing modeling datasets.> Development of a richer model with competitor’s premium information by devising a approach to use 100% of data for modeling even due to non availability of competitor’s premium on 60% of data.- Extensive price sensitivity analysis to identify elastic/inelastic segments by assuming multiple constant dislocations & developed elasticity look up tables using a simulation exercise for large range of price changes from -50% to +50%.- Integration of Loss Ratio, Issue rate and Retention Models for Price Optimization - > Managed the process of Extensive Data Preparation using SAS to score Loss Ratio, Issue Rate and Retention Models on existing book of business and quotes to be used as an input in Price Optimization Tool From July 2011 to December 2012 (1 year 6 months) Gurgaon, IndiaProgrammer Analyst @ EXL Service - Loss Ratio Modeling – > Developed all coverage (Liability and Physical) Loss Ratio Models using Tweedie distribution for the identification of inequity in the product rate plan for different lines of business. > Merged historical loss cost data, premium datasets, driver characteristics, geographic characteristics, territory base rates for modeling datasets, profiled and understood LR trends across key variables.> Analyzed model output results and quantified the amount on variables which required surcharges and discounts> Led a team of 2 people with their ramp up on insurance and ensuring the quality output.> Received an award from the client for excellent organisational and leadership skills.- Performance Monitoring of Auto Insurance Rate Plan –> Refitting of complex Severity Models for Bodily Injury, Property Damage, Collision and Comprehensive coverage to help generating the frequency/Severity estimates on the newly issued policies. Performed extensive model validation of existing and new models for checking the robustness of the newly developed models.- Premium Ratio Modeling - > Comparison of premiums from two separate rating engines by modeling the premium ratios across the class plan variables for identifying the factors causing the differences in the premiums- Developed consistency checks/data quality checks on insurance data which are now used as regular practice in the engagement. From July 2010 to June 2011 (1 year) Gurgaon, IndiaResearch Analyst @ Valuedge Research - Worked on an analysis plan for a US based market research company to understand the preferred product profile, likely market share and various other features.- Worked on Sales Dashboard for a pharmaceutical company depicting Sales, Sales growth, market share etc at monthly, quarterly and yearly level.- Competitive Intelligence profiling of one Indian pharmaceutical company. From September 2009 to June 2010 (10 months) New Delhi Area, IndiaSummer Internship as an Economic Analyst @ Roulac Global Places - GDP Forecasting - Developed an economic model for forecasting GDP of CHILE using the key macroeconomic variables and the econometric techniques.- Sovereign Credit Rating - Measured the credit worthiness of a country by rating that based on the key macroeconomic variables.- Stock market overvaluation – Finding out whether the stock market of a particular country was overvalued or undervalued. From May 2008 to June 2008 (2 months) Hyderabad Area, India


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Yogita Kwatra is Summer Internship


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Yogita Kwatra works in the Insurance industry.


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Extraversion (E), Intuition (N), Feeling (F), Judging (J)

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