Atul Dubey

CEO

Mumbai, Maharashtra, India8 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in predictive modeling and machine learning.
Proven track record in fraud risk mitigation.
Mentor for junior data scientists, fostering a data-driven culture.

Stackforce AI infers this person is a Data Scientist in the Insurance and Healthcare sectors, specializing in predictive analytics and machine learning.

Contact

Skills

Core Skills

Machine LearningPredictive ModelingData Asset Management

Other Skills

AirflowArtificial Intelligence (AI)Automation Scoring PipelineBig Data AnalyticsBig Data platformsData StructuresDeep LearningDescriptive AnalysisGenerative AIGitHubLarge Language Models (LLM)Matrix FactorizationMicrosoft OfficePredictive AnalyticsPrescriptive Analytics

About

As a Senior Data Scientist at a life insurance firm, my role involves harnessing descriptive statistics and predictive modeling to drive strategic decisions mitigating fraud risk. By developing ML models, we are able to assess risks and trends, turning complex data into actionable insights. Together with my team, we align our data initiatives with the company's business goals. Innovating and implementing real-time ML solutions have caused automated underwriting, ultimately boosting customer satisfaction and driving business growth. Part of my contribution is mentoring junior data scientists and promoting a data-driven culture. On behalf of my firm, I engage actively with Insurance Information Bureau (IIB) to share mutually agreeable information and eradicate individual/organized frauds in the sector. About my educational background, I graduated with MS in Applied Statistics from IIT Bombay in 2018 and since then I have been working in the insurance industry (life and non-life). I have also cleared 3 actuarial papers during my undergraduate years.

Experience

Icici prudential life insurance company limited

2 roles

Chief Manager Data Science

Promoted

Apr 2025 – Present · 11 mos · Mumbai, Maharashtra, India · On-site

Senior Manager Data Science

Jul 2022 – Mar 2025 · 2 yrs 8 mos · Mumbai, Maharashtra, India · On-site

Zendrive

Lead Data Scientist

Jul 2021 – Jun 2022 · 11 mos · Bengaluru, Karnataka, India

Diversified role from on-hand implementation and driving of projects to reviewing the work of my associates. I had the opportunity to affect some of the major projects creating positive ROI for my clients. The motto was to make roads safer by providing discounts on insurance premium to good drivers.
Automobile Driving Score Model: created a Quasi-Poisson model to predict the ‘collisions per MM miles driven’ impacting the insurance premium of millions of drivers across US, EU
Minimum Data for Automobile Driving Score: reduced the minimum # days data needed for calculating valid driver score from 30 days to 7-10 days
Automation Scoring Pipeline: automated the end-to-end scoring pipeline

Quasi-Poisson modelAutomation Scoring PipelineMachine LearningPredictive Modeling

Unitedhealth group

2 roles

Associate Data Scientist L2

Promoted

Jul 2019 – Jun 2021 · 1 yr 11 mos

Experience of implementing end to end ML projects from conceptualization to production deployment to post-production management and automation.
Member Personalization and Retention: leveraged Big Data platforms (Hive, Spark), Programming Languages (Python, R) and Statistical Skills (Predictive Analytics and Behaviour Analysis) to derive viable solutions to complex business problems
Recommender System (hybrid): used Matrix Factorization algorithm for recommending personalized opportunities to a population of size 7MM and 90+ items (products)
Data Asset Management and Strategy: single-handedly created, QC, put to production, post-production management and automated the Clickstream Feature Mart - powerful asset used to cluster members based on their web savviness, improve member personalization, path analytics guiding members to optimal journey, etc.
Stakeholder Management: responsible for presenting team deliverables, project ideas and POCs to multiple stakeholders in different locations

Big Data platformsPredictive AnalyticsRecommender SystemMachine LearningData Asset Management

Associate Data Scientist

Jul 2018 – Jul 2019 · 1 yr

Experian

Statistics Intern

May 2017 – Jun 2017 · 1 mo · Mumbai Area, India

Researched analytical techniques to improve ROI of e-commerce clients based on competitive analysis and feasibility of resources at company’s disposal
Presented my findings to the Marketing Services team and recommended the following; Audience Analytics, Recommender Engine, Segmenting Abandoned Carts, Look-Alike Modelling, Affinity Analysis, Receive-Time Optimization, Multivariate testing, Build Sales Funnel, Calculate future ROI for students

Placement office, iit bombay

Institute Company Coordinator

Apr 2017 – Jun 2018 · 1 yr 2 mos · Mumbai Area, India

Part of a team responsible for the placement of around 1500 students opting for IIT Bombay campus placements
Personally contacted 50+ companies. Hosted 12+ firms in the campus. Personally handed over 40+ offer letters
Effectively conducted practice mock interviews, written tests and group discussions for overall preparation of students
Made sure of smooth transition to new Institute Company Coordinators