Abhinav Arya

Co-Founder

Gurgaon, Haryana, India14 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 8 years of experience in Retail and Insurance analytics.
Expert in leveraging data science for business decision making.
Proven track record in customer insights and claims analytics.

Stackforce AI infers this person is a Data Science professional with expertise in Retail and Insurance analytics.

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Skills

Core Skills

Data ScienceLeadershipClaims AnalyticsCustomer Insights

Other Skills

Team ManagementData AnalysisStatistical ModelingText MiningConsumer BehaviorProduct DesignBusiness AnalysisCustomer ExperienceWeb DesignProgrammingWeb DevelopmentSegmentationSQLPHPHTML

About

Research & analytics professional with more than 8 years of experience in Retail and Insurance domain. Keen understanding of how analytics and data science can be leveraged for business decision making. Key highlights - - Experience in analytics solution areas like Retail analytics ( Campaign Design, Loyalty Program Design, Test and learn framework), Customer Insights (Customer Sentiment analysis, Survey analytics & design ),Claims analytics ( Process improvement, Fraud analysis through text mining) - Hands on experience with tools like SAS for statistical analysis, SQL for data base management, Attensity for text mining,Microsoft Office suite. - Experience in people and project management

Experience

14 yrs 11 mos

Total Experience

6 yrs

Average Tenure

10 yrs 9 mos

Current Experience

Dunnhumby

3 roles

Research Data Science Manager

Promoted

Oct 2022 – Present · 3 yrs 8 mos

LeadershipTeam ManagementData Science

Lead Analyst

Feb 2018 – Oct 2022 · 4 yrs 8 mos

Senior Analyst

Aug 2015 – Jan 2018 · 2 yrs 5 mos

Mu sigma inc.

Trainee Decision Scientist (Business Analyst )

Feb 2014 – Aug 2015 · 1 yr 6 mos · Bengaluru Area, India

Worked for one of the leading Insurance company of US
Recall Analysis: Identified claims where accident happened due to faulty ignition switch in vehicles recalled by major auto-mobile manufacturer. Analysis helped client to pursue subrogation and collect huge amount back from the manufacturer
Attrition Analysis: Improved customer satisfaction and reduced attrition rate by performing exploratory data analysis and identifying the pain points in claims process
Projects overviewed: Projects overviewed in team-
o Improved customer satisfaction by performing sentiment analysis using text mining
o Reduced final settlement amount by identifying high payout claims earlier during the claims process