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Rahul Dev Sharma Kongbrailatpam

@rahuldevsharmakongbr

Data Science leader at Novartis who architected EPIC 2.0, a platform auditing organizational processes across countries for bias.

India

Message

What I'm looking for

I'm targeting Head- or Director-level roles in Data Science, Analytics, Data & AI, and Analytics Transformation.

At Novartis, I architected EPIC 2.0, a statistical equity assessment platform that audits organizational lifecycle processes across countries for bias. I also developed predictive attrition models adopted by the C-suite for workforce planning and championed Responsible AI and model governance.

At Accenture, I served as Predictive Analytics Lead Architect for the Accenture Insights Platform and architected Digital Chemist, a formulation intelligence tool later patented by Accenture. Across roles at Novartis, Accenture, and Infosys, I built data science capabilities and analytics teams, and delivered analytics and AI/ML work across life sciences, financial services, technology, telecom, and retail.

Experience

Work history, roles, and key accomplishments

Director & Head of Data Science

Novartis

Oct 2022 - May 2025 (2 years 7 months)

Led enterprise analytics for a global function, owning statistical strategy and delivery across risk, performance, and workforce lifecycle domains impacting 70+ countries. Built and developed a globally distributed data science team and architected EPIC 2.0, a statistical equity assessment platform for bias detection.

Statistical Modeling Survival Analysis Responsible AI Model Governance Team Leadership Python R SAS SQL TensorFlow PyTorch AWS Azure AI GCP Power BI Tableau Qlik Alteryx

Associate Director, Data Science

Novartis

Jan 2021 - Sep 2022 (1 year 8 months)

Acted as strategic Data & Statistical partner across organizational performance, compensation analytics, capability development, and operational culture functions. Launched an enterprise product correlating organizational indicators with business performance metrics using multivariate statistical techniques.

Multivariate Statistical Methods Statistical Quality Standards Governance Frameworks Vendor Management Analytics strategy

Manager, Data & Digital

Accenture

Nov 2012 - Dec 2020 (8 years 1 month)

Led the Data Science practice and served as Functional Expert for presales AI/ML engagements, driving solution design for Fortune 500 clients. Architected the Digital Chemist platform and directed offshore delivery teams for Accenture Labs.

AI ML Strategy Computer Vision NLP Predictive Analytics TensorFlow PyTorch AWS Responsible AI Model Governance Team Leadership Pre Sales Solution Design

Practice Lead, Management Consulting Services

Infosys

Jul 2009 - Nov 2012 (3 years 4 months)

Led Strategic Insights practice for Energy, Communications & Services vertical, accountable for P&L, delivery, sales pipeline, and capability development. Scaled team and grew TCV from USD 72K to USD 358K for a leading US consumer electronics business.

P&L management Sales Pipeline Pre Sales RFP Responses Solution Design Team Leadership Analytics Research

Analytics Manager, Knowledge Services

Infosys BPO

Oct 2007 - Jun 2009 (1 year 8 months)

Scaled analytics team from 5 to 20 members and increased TCV from USD 354K to USD 505K. Led Banking & Finance model validation function, designing regulatory-compliant frameworks for scorecards, forecasting, and pricing models.

Model Validation Regulatory Compliance Scorecards Forecasting Pricing Models Team Leadership Client Management

Senior Analyst, Marketing Analytics

Symphony Services

Jun 2005 - Oct 2007 (2 years 4 months)

Delivered predictive analytics solutions for BFSI and Telecom clients in the US market, including propensity-to-respond models and churn prediction using survival analysis and logistic regression in SAS. Mentored junior analysts on modelling approaches and data strategy.

predictive modeling Survival Analysis Logistic Regression SAS Churn Prediction Marketing Analytics Mentorship

Business Analyst, Analytics CoE

GE Capital International Services

Feb 2004 - Apr 2005 (1 year 2 months)

Developed residual value forecasting models for GE Fleet Services Japan to determine rental pricing and end-of-lease remarketing strategies. Automated the RV forecasting model pipeline in SAS and expanded engagement scope during an onsite client visit.

Forecasting SAS predictive modeling Risk Assessment Model Governance Client Engagement

Analyst / Statistician

HCL Technologies

Oct 2003 - Jan 2004 (3 months)

Developed customer attrition model for a large UK Telecom client using Clementine and delivered statistical reporting and churn intelligence for B2C retention strategy.

Clementine Statistical Reporting Churn Analysis Customer Retention