Work Experience | Rakesh Kumar | Data Science Manager

Explore Rakesh Kumar’s experience in data science leadership, generative AI, pharmaceutical analytics and production AI systems.

Experience / 2019 — Present

Building systems. Leading delivery.

A career in data science, from hands-on machine learning to AI project delivery and team leadership.

Aug 2022 — PresentPresent

Inizio Ignite

Gurugram, India

From building data science solutions to leading AI delivery.

Data ScientistProject ManagerManager

Building AI solutionsAug 2022 - Mar 2024

Data Scientist

Built ML and NLP solutions for pharmaceutical data, including scientific document analysis and structured data pipelines.

Owning project deliveryApr 2024 - Mar 2025

Data Science - Project Manager

Managed AI product delivery, coordinating API infrastructure, Azure OpenAI integration and stakeholder requirements.

Leading teams & strategyApr 2025 - Present

Data Science - Manager

Lead cross-functional AI, backend, frontend and domain teams from solution architecture through production delivery across enterprise pharma products.
Own product strategy, solution architecture, engineering, governance, deployment and enterprise adoption.

Selected work at Inizio Ignite

Platforms delivered across my tenure.

Market Share Prediction

Architected an agentic platform for pharma market-share forecasting, with multi-agent workflows for TPP development, analog discovery, evidence synthesis and commercial analysis. Built analog ranking with openFDA, ClinicalTrials.gov, internal benchmarks and commercial data.

OpenAI Agents SDKAgent evaluationHuman-in-the-loop

Survey Intelligence

Led architecture for hierarchical survey ingestion through ConfirmIt APIs, multilingual translation, adverse-event detection and response-quality analysis. Enabled chatbot-defined QC rules through a sandbox agent.

40% less manual effort

ConfirmIt APIsQuality controlsSandbox execution

Pharma Launch Strategy

Owned strategy, architecture and delivery of an intelligent launch planning platform. Built recommendations using 800+ benchmarked launches across 70+ therapeutic areas, scenario simulation and semantic knowledge retrieval.

~50% less effort · 40–50% faster cycles

800+ launches70+ therapeutic areasScenario simulation

Pharma AI & Evidence Intelligence

Led AI products for pharma R&D and Medical Affairs: approval prediction, therapy classification, patient segmentation, asset intelligence and scientific document analysis. Built governed RAG and multi-agent workflows with traceable evidence and controlled tool access.

Azure OpenAIRAGAI governance

Aug 2021 — Jul 2022

EXL Private Limited

India

Machine learning and customer analytics for banking.

Customer intelligenceAug 2021 - Jul 2022

Lead Assistant Manager (Data Science)

Built real-time behavioral triggers for credit and debit card customers to improve engagement, retention and timely offer targeting.
Applied transaction analytics, segmentation and market basket analysis to uncover spending patterns, customer affinities and cross-sell opportunities.
Designed a trigger prioritization framework combining customer segments, transaction signals and business priorities to select relevant real-time offers.

Jul 2019 — Jul 2021

FN MathLogic Consulting Services Limited

India

Applied research across NLP, computer vision and deep learning.

Applied machine learningJul 2019 - Jul 2021

Data Scientist

Delivered NLP and computer vision solutions across document intelligence, geospatial mining and dermatology.
Built a multi-input NLP pipeline for hierarchical document extraction using HTML parsing, contextual features and rule-based refinement.
Developed a ResNet18 + U-Net pipeline to filter satellite imagery, segment iron-ore regions and estimate ore coverage.
Built a PyTorch scalp image classifier using transfer learning and augmentation to classify hair-count ranges for dermatology assessment.

Rakesh Kumar on Medium