# Lead Data Scientist | GenAI Engineer Location[India](https://jobicy.com/resume-region/india.md)Rate, USD Not specifiedWork schedule Full Time, Links Language skills EnglishAvailable for Hire Yes [Hire me](#resume-dialog) Save Log in to save ## About me I am a Lead Data Scientist with over 6 years of experience delivering production-grade machine learning and Generative AI solutions. Throughout my career, I have demonstrated a proven track record in driving revenue growth and operational efficiency by leveraging predictive analytics, natural language processing, and scalable large language model applications. My expertise spans agentic AI, retrieval-augmented generation (RAG) pipelines, customer segmentation, churn prediction, and CRM-driven intelligence, with measurable impacts across healthcare and media sectors. Currently, I lead data science initiatives at Aster DM Healthcare, where I designed and deployed an agentic AI prescription refill system that automates medicine understanding and refill eligibility for millions of patients. This system improved operational throughput, generated incremental revenue, and enhanced refill adherence. I also built a LangChain-powered customer and competitor intelligence platform that delivered actionable CRM insights, contributing to significant improvements in customer experience and revenue. Previously, I worked at Affine Analytics, where I developed time-series forecasting models and multi-class demographic profiling systems that improved media campaign effectiveness and ROI. I also migrated analytical pipelines to more efficient cloud-based solutions, reducing runtime and infrastructure costs. My earlier experience at Infosys Limited involved designing regression and classification models to streamline healthcare claim reimbursements and reduce manual review workloads. I am skilled in a wide range of technologies including Python, SQL, PySpark, cloud platforms, and MLOps tools. I am passionate about applying advanced AI and machine learning techniques to solve complex business problems and drive impactful outcomes. I continuously seek to innovate and scale AI solutions that enhance operational efficiency and customer engagement. ## Professional area ### [Developer & Engineer](https://jobicy.com/resume-category/dev.md)[Web Analyst](https://jobicy.com/resume-category/web-strategy.md) ## Skills ### [Azure](https://jobicy.com/resume-skill/azure.md)[Docker](https://jobicy.com/resume-skill/docker.md)[Flask](https://jobicy.com/resume-skill/flask.md)[GCP](https://jobicy.com/resume-skill/gcp.md)[Machine Learning](https://jobicy.com/resume-skill/machine-learning.md)[Pyspark - Apache](https://jobicy.com/resume-skill/pyspark.md)[Python](https://jobicy.com/resume-skill/python.md)[SQL](https://jobicy.com/resume-skill/sql.md)[Tableau Software](https://jobicy.com/resume-skill/tableau.md) ## Education Jul 2015 - Jun 2019 Bachelor of Technology in Electronics and Communication Engineering @ Graphic Era University ## Experience Feb 2024 - Present Lead Data Scientist @ Aster DM Healthcare Designed and deployed an agentic AI prescription refill system orchestrating LLM reasoning, RAG-based context retrieval, PDF/eRx and doctor-note parsing, medical entity extraction, and clinical refill rules to automate medicine understanding, refill eligibility, and due-date calculation; scaled across 2.5M patients, improved operational throughput by 12%, generated 6% incremental revenue, and improved refill adherence by 3 percentage points. Built a LangChain-powered customer and competitor intelligence platform combining automated review/price scraping, sentiment modeling, and GPT-based theme extraction across 50K reviews; delivered CRM-ready competitor, pricing, and customer-experience insights that contributed to 20% NPS uplift, 12% repeat-rate improvement, and 8% incremental revenue. Developed a pharmacy churn prediction model using Random Forest, XGBoost, deep learning, RFM features, k-means segmentation, and survival/time-to-churn analysis; achieved 0.87 AUC and powered weekly CRM save programs across 1.5M customers. May 2022 - Jan 2024 Data Scientist @ Affine Analytics Built time-series forecasting models (ARIMAX, SARIMAX, Prophet) for media impression and reach planning across audience segments; improved delivery against contracted reach targets by approximately 10% and reduced make-good obligations to clients. Developed a multi-class demographic profiling model using Word2Vec embeddings on content synopses and genres (XGBoost, RF); achieved 76% accuracy and enabled downstream semantic audience targeting. Built unsupervised audience segmentation (K-Means, DBSCAN) layered on profiling outputs; surfaced high-value clusters that improved campaign effectiveness by 20% and ROI by 15%. Migrated recurring analytical pipelines from PySpark to BigQuery SQL; cut pipeline runtime by approximately 50% and infrastructure cost by approximately 40%. Dec 2019 - May 2022 Data Science Analyst @ Infosys Limited Designed and deployed a regression model to predict healthcare claim reimbursements with an R² of 0.89, streamlining financial forecasting for over 150K claims annually. Developed a high-performance classification model with precision: 92% and recall: 88% to identify billing inconsistencies, reducing manual review workload by 15%. ## Recommend this talent ## Related resumes * [![Photo](https://jobicy.com/react/themes/app/images/candidate.png) Senior Full-Stack EngineerBrazilI am a Senior Full-Stack Engineer with more than 20 years of experience building enterprise backend and frontend systems. My core stack includes ASP.NET Core, C#, Angular, and SQL Server,…](https://jobicy.com/cv/id147922.md) * [![Photo](https://jobicy.com/react/themes/app/images/candidate.png) Technical Support SupervisorIndiaI am a telecom professional with 9 years of experience in technical support, network troubleshooting, and team management. 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