Akhil Gupta

Product Manager

Hartford, Connecticut, United States10 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Over a decade of experience in data science leadership.
  • Expert in building scalable machine learning systems.
  • Passionate about establishing modeling standards and governance.
Stackforce AI infers this person is a Healthcare Data Science Leader with expertise in predictive analytics and machine learning.

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Skills

Core Skills

Data ScienceMachine LearningPredictive Modeling

Other Skills

Time-series forecastingGradient boostingFeature engineeringModel validationExplainable AIGoogle Cloud PlatformPredictive risk modelingStatistical validationUtilization modelingLogistic RegressionDecision TreesClustering TechniquesRandom ForestXGBoostETA prediction

About

Data Science leader with over a decade of experience building scalable machine learning and forecasting systems in healthcare and insurance analytics. My work sits at the intersection of statistical rigor, production engineering, and business impact. I focus on designing forecasting and predictive modeling frameworks that are repeatable, explainable, and enterprise-ready - particularly in complex and regulated environments. Over the years, I’ve led cross-functional data science initiatives spanning healthcare cost forecasting, utilization modeling, and predictive risk analytics. My technical foundation includes time-series modeling, gradient boosting, feature engineering, model validation (regression and classification), and explainable AI frameworks. I operate as a hands-on leader - reviewing model architectures, challenging assumptions, strengthening validation frameworks, and building governance standards - while working closely with business and actuarial stakeholders to ensure analytics translates into structured decision-making. I’m passionate about: • Building high-performance data science teams • Establishing modeling standards and governance • Scaling ML platforms responsibly • Solving complex problems where ambiguity is high and impact is meaningful Outside of work, I remain a lifelong learner - curious about systems, strategy, and the evolving role of data science in shaping decisions. Always open to thoughtful conversations around data, leadership, and technology.

Experience

10 yrs 2 mos
Total Experience
3 yrs 4 mos
Average Tenure
4 yrs 4 mos
Current Experience

Exl

2 roles

Senior Manager Data Science

Promoted

Jan 2025Present · 1 yr 5 mos

  • Lead data science initiatives focused on healthcare cost forecasting, utilization modeling, and predictive risk analytics across Commercial and Medicare lines of business.
  • My role spans both technical architecture and team leadership, ensuring scalable, explainable, and production-ready machine learning systems.
  • Key focus areas:
  • Ownership of monthly forecasting pipelines including data validation, feature engineering, modeling, and deployment
  • Time-series forecasting (Bayesian and classical approaches) for cost and utilization projections
  • Predictive risk modeling using gradient boosting and ensemble techniques
  • Model evaluation across regression and classification frameworks
  • Statistical validation, backtesting, and residual diagnostics
  • Explainable AI using SHAP and structured interpretability frameworks
  • Deployment of ML workflows on Google Cloud Platform (GCP)
  • Cross-functional collaboration with actuarial and business stakeholders
Data ScienceMachine LearningPredictive ModelingTime-series forecastingGradient boostingFeature engineering+3

Manager Data Science

Feb 2022Jan 2025 · 2 yrs 11 mos

Unitedhealth group

Data Scientist

Jun 2021Jan 2022 · 7 mos · Noida, Uttar Pradesh, India

  • Built predictive and segmentation models for healthcare analytics use cases, leveraging Logistic Regression, Decision Trees, and clustering techniques.
  • Partnered with business stakeholders to deliver data-driven insights supporting contract performance and operational decision-making.
Predictive ModelingLogistic RegressionDecision TreesClustering TechniquesData Science

Tata consultancy services

Data Scientist

Mar 2016Jun 2021 · 5 yrs 3 mos · Noida, Uttar Pradesh, India

  • Designed and implemented end-to-end machine learning solutions in the logistics domain including ETA prediction, dwell time estimation, anomaly detection, and temperature analytics.
  • Applied ensemble techniques such as Random Forest and XGBoost while contributing to model design reviews and mentoring junior team members.
Machine LearningRandom ForestXGBoostData Science

Education

Kurukshetra University

Master of Technology - MTech — ECE

Jan 2012Jan 2015

Kurukshetra University

Bachelor of Technology - BTech — ECE

Aug 2008Jun 2012

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