Biren Rajdev

Director of Engineering

Gurugram, Haryana, India14 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 14+ years in analytics and AI/ML engineering.
  • Mentored hundreds of professionals in data science.
  • Patent holder with significant healthcare AI impact.
Stackforce AI infers this person is a Healthcare AI Leader with extensive experience in data science and analytics.

Contact

Skills

Core Skills

Data ScienceAi/ml SolutionsPredictive AnalyticsCustomer AnalyticsData AnalysisBusiness AnalyticsData Management

Other Skills

Speech and Text AnalyticsDigital AnalyticsOperational efficienciesData-driven decision makingMentorshipStrategic ThinkingInnovation & SimplicityMentorship & LeadershipOperational processesMember experienceHealth outcomesMedical cost savingsAI/ML classification modelsCollaborative filteringPersonalization offers

About

My father is a doctor. When I told him I work in AI, he said - "Son, you should learn AI. It's the future." He didn't know I had been building it for years. That moment stuck with me - because it's not just a family joke. It's a mirror of where most professionals are today. Aware that AI is changing everything. Unsure where they fit in it. I am Biren. Director of AI/ML Engineering at Optum (UnitedHealth Group). 14+ years in Analytics. 6 years building Healthcare AI at scale - across Speech & Text Analytics, NLP, Generative AI, and Agentic AI - driving real impact on member experiences, health outcomes, and operations for one of the world's largest health systems. Patent holder. Alumni of Dunnhumby and Mu Sigma. I don't just build models. I build understanding. Whether it's translating complex AI for business stakeholders, designing systems that scale, or helping teams move from data-rich to insight-driven - I operate at the intersection of deep technical expertise and strategic clarity. But the work that I am most proud of isn't a model or a metric. Over the years, I have mentored hundreds of professionals through mock interviews, resume reviews, career pivots, and "what do I do next" conversations - across Data Science, Data Analytics, Statistics, and NLP. Many of them are now in roles they once thought were out of reach. If you are a mid-career professional trying to stay relevant in the AI era - or someone staring at career crossroads and not sure which move to make - let's talk. The AI era rewards those who prepare. I can help you prepare. Book a slot here: https://topmate.io/birenrajdev Hit 'Follow' to stay updated.

Experience

14 yrs 1 mo
Total Experience
4 yrs 8 mos
Average Tenure
6 yrs 6 mos
Current Experience

Unitedhealth group

3 roles

Director - AI/ML Engineering

Promoted

Mar 2026Present · 2 mos

Associate Director - Data Science

Promoted

Mar 2022Feb 2026 · 3 yrs 11 mos

  • Led the analytics strategy to enhance member experience, achieve better health outcomes, and enable operational cost savings by delivering data science, engineering, and business intelligence enabled AI/ML solutions.
  • Speech and Text Analytics (Contact Center)
  • Digital Analytics to enhance self-serve
  • Initiatives to enable Operational efficiencies to reduce Administrative cost
  • Liaise with business teams to create strategic plans to improve data-driven decision making
  • Provide insight, mentorship and direction to the analytics team
  • Drive effective partnerships with Leaders across UHG by strategic thinking and building strong relationships
  • My approach combines:
  • ✔️ Strategic Thinking : Understanding business challenges deeply to craft robust technical solutions
  • ✔️ Innovation & Simplicity : Identifying gaps and delivering creative, practical answers
  • ✔️ Mentorship & Leadership : Building future-ready analytics teams through guidance and empowerment
Speech and Text AnalyticsDigital AnalyticsOperational efficienciesData-driven decision makingMentorshipStrategic Thinking+4

Senior Manager - Data Science

Sep 2019Feb 2022 · 2 yrs 5 mos

  • Led the data science solutions delivery to enable improvements in operational processes, enhance member experience, achieve better health outcomes and enable medical cost savings
  • Strategic initiatives for High risk member care
  • Predictive Analytics for adverse event prediction
  • Impact Assessment and Value intelligence around key business MBOs
Predictive AnalyticsOperational processesMember experienceHealth outcomesMedical cost savingsData Science

Dunnhumby

2 roles

Lead Applied Data Scientist

Promoted

Jan 2017Sep 2019 · 2 yrs 8 mos · Gurugram, Haryana, India

  • Personalization
  • Workplan management : Managed the communication work-plan for a US grocery chain, sending relevant offers to customers across customer life cycle: onboarding new customers, growing share of wallet through cross sell, retain and reward loyal customer and stem attrition of likely lapsers
  • Built advanced AI/ML classification models and collaborative filtering (item-item, user-user) to enable personalization offers to customers
  • Pricing and Promotions
  • Investment optimization : Built a methodology to create a POC for a grocery retailer to help them understand the need and ways to optimize their promotional investment
AI/ML classification modelsCollaborative filteringPersonalization offersInvestment optimizationData ScienceAI/ML Solutions

Senior Analyst

Sep 2013Dec 2016 · 3 yrs 3 mos · Gurugram, Haryana, India

  • Customer Loyalty
  • Program evaluation : Helped the retailer in understanding the impact on customer behavior post participation in coalition loyalty program by developing a methodology to measure incremental lift
  • Personalization : Developed and executed the targeting methodology to send relevant offers to the customers and then measured the impact of those offers. Also, recommended the optimum reward point multiplier for categories to achieve maximum SCR
  • Relevancy modeling : Built AIML models to predict customer propensity to buy within a brand/category
  • Insights and Activation
  • Customer retention strategy : Formulated and implemented a strategy for the retailer to activate at-risk customers using mechanisms like offer at POS, Direct Mail campaigns by creating a model to predict customer behavior using ML techniques like XGBoost
  • Custom insights : Performed deep dive analyses to help the retailer understand the effectiveness of various marketing events
  • Segmentation
  • Shopping habits : Identified the most loyal shoppers for the retailer by segmenting customers based on their RFM behavior to establish an overall view of loyalty towards a retailer
  • Shopping missions : Determined customers’ need to shop by analyzed contents of a customer basket to finally determine the core purpose of visiting the retailer
  • New Product Development
  • Brand extension : Helped a CPG in understanding opportunity areas to expand the brand, both in new areas in the store and under-developed categories where the brand already exists today
  • CRM
  • Online Media Evaluation : Measured the impact of running an online advertisement campaign of a Brand on the people who were exposed to the advertisement vs. who were not
  • Impact Assessment
  • Control store testing : Helped a brand understand the impact of store trials on the KPI’s of brand, competitors and category. This involved selection of test/control stores using ANCOVA and impact evaluation after completion of trial.
Customer LoyaltyProgram evaluationTargeting methodologyRelevancy modelingCustomer retention strategyImpact Assessment+2

Mu sigma

2 roles

Senior Business Analyst

Promoted

Jan 2013Aug 2013 · 7 mos

  • Collaborated with a leading Health Insurance provider to enhance underwriting rules for improved decision-making.
  • Analyzed existing processes to identify areas for optimization and efficiency.
  • Engaged with stakeholders to gather requirements and ensure alignment with business objectives.
  • Developed actionable insights that supported the selection and rejection of insurance applicants.
Underwriting rulesProcess optimizationStakeholder engagementActionable insightsData AnalysisBusiness Analytics

Business Analyst

Nov 2011Dec 2012 · 1 yr 1 mo

  • I contributed to data management and analysis projects at Mu Sigma, focusing on healthcare data for a major Pharmaceutical client.
  • Conducted thorough quality checks to maintain data integrity across various health data sources.
  • Streamlined database management processes, improving resource allocation and vendor data handling.
  • Created impactful dashboards using VBA and Spotfire for better data visualization and decision-making.
Data managementQuality checksDatabase managementData visualizationData AnalysisData Management

Lg electronics

Intern

Jan 2010Jun 2010 · 5 mos

  • R&D Department - Air Conditioning Unit

Education

Thapar Institute of Engineering & Technology

Bachelor of Engineering (B.E.)

Jan 2007Jan 2011

Indian Institute of Management Bangalore

PACE — Program for Accelerated Capability Enhancement

Nov 2021Aug 2022

DAV Schools Network

Non-medical — Mathematics | Physics | Chemistry

Jan 2006Jan 2007

DAV Schools Network

Metric

Jan 2004Jan 2005

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