Jai Chaturvedi
Bangalore
Summary
Data Scientist with 4+ years of experience applying machine learning and statistical modeling to optimize clinical trial operations and medical processes. Skilled in designing simulation platforms, segmentation models, and intelligent agent-based tools that streamline workflows and accelerate decision-making. Adept at transforming complex healthcare data into actionable insights that support leadership visibility, operational efficiency, and strategic planning
Overview
4
4
years of professional experience
1
1
Certification
Work History
Apprentice Leader
Mu Sigma Business Solutions
Bangalore
01.2025 - Current
- Clinical Trial Simulation Platform
Led the design and development of a simulation tool to forecast clinical study timelines using 18+ trial parameters. Executed over 10,000 simulations leveraging Poisson and BOIN statistical models to estimate First Patient First Visit (FPFV) and overall study duration. Managed a team delivering both Python backend and PyDash interface with agent-based inputs. - Site Finder Agent Framework
Oversaw the creation of a modular agent-based system to query multiple clinical data sources and benchmark sites across investigator, organization, and trial dimensions. Enabled real-time decision support for site selection and protocol design through automated insights.
Decision Scientist
Mu Sigma Business Solutions
Bangalore
07.2021 - 12.2024
- HCP Segmentation Framework
Developed an end-to-end machine learning pipeline to segment healthcare professionals (HCPs) using multi-source datasets. Engineered 130+ features, applied PCA for dimensionality reduction, and implemented K-Means/K-Medoids clustering. Validated models with silhouette scores, enabling scalable and personalized engagement strategies. - Medical Activity Tracking Solution
Built a global dashboard to monitor the progress of medical launch activities across therapeutic areas. Enabled leadership visibility into execution timelines and coordination across functions, reducing launch delays by 32%. - MSL Performance Benchmarking Platform
Designed and deployed a scalable framework to benchmark Medical Science Liaison (MSL) operations across geographies. Created performance normalization logic, scorecards, and automated dashboards used in QBRs, saving 300+ analyst hours per quarter and supporting $6M+ in resource optimization.
Education
Bachelor of Technology - Computer Science Engineering
SRM Institute of Science And Technology
05-2021
Skills
- Languages & Tools: Python, Tableau, SQL
- Machine Learning: K-Means, PCA, XGBoost
- Statistical Analysis: Clustering, Time-to-Event Analysis
- Cloud/Infra: AWS (S3)
- Other: Healthcare Analytics, Data Wrangling, Agent-Based Systems, Clinical Data Models, Power Automate, Domino Data Lab,
Certification
- 2025 Bootcamp: Generative AI, LLM Apps, AI Agents – Udemy
Timeline
Apprentice Leader
Mu Sigma Business Solutions
01.2025 - Current
Decision Scientist
Mu Sigma Business Solutions
07.2021 - 12.2024
Bachelor of Technology - Computer Science Engineering
SRM Institute of Science And Technology
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