Data Scientist at IQVIA • 2x Ovation Awardee

Vimal Joshy

Data Scientist • Machine Learning Engineer • NIT Calicut Alum

Engineering graduate from NIT Calicut and Data Scientist at IQVIA focusing on longitudinal patient data (LRX), machine learning, and Generative AI. Experienced in architecting end-to-end analytics pipelines, automating clinical QC workflows with 95% time savings, and deploying ML models for client-facing healthcare solutions.

Bengaluru, India IQVIA B.Tech, Mechanical Engineering (NIT Calicut)
Vimal Joshy
95% QC Time Slashed Automated validation engine for clinical data
2x Award Ovation Awardee Honored for excellence in patient analytics
5+ GenAI Client Projects Patient indication identification with ML & LLMs
2x Podium Hackathon Honors 1st Place (Cohort Creator) & Runner-Up (Flu Forecaster)

Work Experience

Driving quantitative decision-making, deploying machine learning systems, and automating mission-critical analytical workflows.

Data Scientist / Data Analyst

IQVIA • Bengaluru, India Healthcare & Life Sciences
January 2024 — Present
  • Generative AI & Indication Modeling: Spearheaded Generative AI initiatives and engineered machine learning models for patient indication identification utilizing large longitudinal prescription (LRX) data, enhancing analytics capabilities across 5+ client accounts.
  • Predictive Demand & Epidemiological Forecasting: Architected an ensemble time-series system (XGBoost, Prophet, and Google's TimesFM) to forecast seasonal flu medication sales in Spain, fusing environmental, genomic strain, and cross-country lead indicators (Hackathon Runner-Up).
  • Patient Analytics & Cohort Profiling: Analyzed multi-country patient records for source-of-business (SOB), compliance, and retention patterns. Collaborated with project managers and clinicians to combine ML algorithms with domain business logic, delivering insights to 10+ clinical stakeholders.
  • Automated QC Framework (95% Efficiency): Built custom automation tooling including a data QC pipeline that reduced quality control runtime by 95% (saving ~100 engineering hours monthly), earning the company's Bronze Award for efficacy.
  • SlideSync Deck Automation (80% Speedup): Conceived and developed SlideSync, an automated presentation assembly framework that compressed client deck creation time by 80%.
  • Client Delivery & GTM Support: Managed recurring client projects and partnered with the Go-To-Market team to support Real-World Analytics offerings, maintaining a 100% on-time delivery record.
Python SQL PySpark Generative AI scikit-learn XGBoost Prophet Google TimesFM LRX Data Process Automation QC Analytics

Design Engineer

Medgyor Pvt Ltd • Calicut, India Hardware & Smart IoT
March 2022 — December 2023
  • Operated in an agile startup environment, wearing multiple hats across market analysis, CAD modeling, and rapid product prototyping.
  • Took ownership of project leadership for smart display systems (Mosque Prayer Time Display), coordinating pilot deployments for regional institutional clients.
CAD Engineering Market Research Prototyping Client Pilots

Leadership & Committee Head

National Institute of Technology Calicut (NITC)
February 2021 — July 2023
  • Head of I-Ink (RAGAM '23): Led an executive team of 10 to strategize and execute major cultural events at South India's largest cultural fest, achieving a 20% surge in attendee participation.
  • Head at Lecture Committee (Tathva NIT Calicut): Directed the flagship lecture series, personally coordinating and hosting sessions with 2 Nobel Laureates alongside prominent global scientists.
Team Leadership Event Operations Public Relations

Featured Projects

Real-world analytics tools, machine learning pipelines, and automation solutions developed for healthcare datasets and enterprise workflows.

DS Playground preview Live Web App

Data Science Playground

An interactive browser-based simulation workbench for exploring core statistics, probability theory, and machine learning concepts in real time. Features live visualizers for Central Limit Theorem, Hypothesis Testing (z/t-test), A/B Testing lift analysis, Confidence Intervals, and distributions.

6+ Live Statistical & ML Simulators
JavaScript Plotly.js KaTeX Hypothesis Testing A/B Testing Statistics
Patient Cohort Creator preview Hackathon Winner

Patient Cohort Creator

A Python-based clustering and segmentation engine designed for large longitudinal patient (LRX) datasets. Groups patients based on multi-dimensional clinical attributes, diagnostic indications, and unsupervised machine learning clustering algorithms.

Hackathon 1st Place • LRX Clustering
Python scikit-learn pandas Unsupervised ML Healthcare Data
Flu Season Forecaster preview Hackathon Runner-Up

Flu Season Drug Sales Forecaster

An ensemble multi-modal forecasting architecture to predict seasonal flu medication sales in Spain. Ingests meteorological/environmental data, viral genomic strain classifications, and European cross-border lead indicators using XGBoost, Prophet, and Google's TimesFM foundation model.

Hackathon Runner-Up • Spain Flu Analytics
Python XGBoost Prophet Google TimesFM Time Series Genomic Data Ensemble ML
Generative AI Project preview Enterprise AI

GenAI Indication Identifier

Machine learning and Generative AI pipeline engineered at IQVIA to identify and classify disease indications from complex prescription journeys. Scaled to empower real-world analytics for 5+ major client accounts.

5+ Enterprise Client Deployments
Python Generative AI LLMs NLP SQL LRX Data
QC Tool preview Bronze Award

Automated Clinical QC Engine

Automated quality control and anomaly-detection engine for high-volume patient data tables. Validates data schemas, edge cases, and clinical anomalies, cutting manual QC turnaround time by 95% and saving 100 hours each month.

-95% QC Time • 100h / Month Saved
Python Data Quality Anomaly Detection pandas Automation
SlideSync preview Productivity Tool

SlideSync Deck Generator

Programmatic reporting automation tool that maps analytical dataframes and dynamic visualizations directly into formatted PowerPoint presentations, reducing deck assembly turnaround by 80%.

80% Deck Assembly Time Cut
Python Deck Automation Data Visualization Matplotlib ETL

Skills & Technologies

Proficiencies developed through enterprise production analytics, hackathon implementations, and academic engineering.

Data Science & Machine Learning

scikit-learn Generative AI & LLMs Patient Clustering Statistical Modeling Natural Language Processing Model Evaluation & Metrics LRX Patient Analytics

Programming & Databases

Python (Expert) SQL (Complex Joins & Aggregations) PySpark Bash / Shell Scripting HTML5 & CSS3

Data Engineering & Analytics

pandas & NumPy Automated QC & Testing Data Pipelines & ETL Anomaly Detection Matplotlib & Seaborn Advanced Excel & Office Automation

Tools, Platforms & Workflow

Git & GitHub Docker Jupyter Lab / Notebooks Agile / Scrum Methodologies Cross-Functional Leadership CAD Design

Education & Campus Leadership

Rigorous analytical training combined with large-scale campus organizational leadership.

Undergraduate Degree

National Institute of Technology Calicut (NIT Calicut)

Bachelor of Technology (B.Tech) in Mechanical Engineering

2019 — 2023 • Calicut, India

Rigorous foundation in mathematics, statistical mechanics, computational modeling, and quantitative problem-solving.

Campus Leadership

Executive Leadership at NIT Calicut

Head of I-Ink (Ragam) • Head of Lecture Committee (Tathva)

2021 — 2023

Successfully managed multi-tier student teams, invited 2 Nobel laureates to campus, and spearheaded major technical and cultural festivals with 20% attendance growth.

Honors & Awards

Recognized for innovation in healthcare analytics, operational optimization, and academic contributions.

Hackathon Winner — Patient Cohort Creator

IQVIA Hackathon • 1st Place

Won 1st place for building an automated ML clustering tool operating on LRX data to segment patient trajectories based on indications and clinical attributes.

Hackathon Runner-Up — Flu Season Forecaster

IQVIA Hackathon • 2nd Place

Secured Runner-Up for designing an ensemble time-series pipeline (XGBoost, Prophet, TimesFM) combining environmental, genomic strain, and cross-country lead indicators to forecast Spain's flu drug demand.

2x Ovation Award

IQVIA Patient Analytics • Dual Recipient

Awarded twice for exceptional contributions, predictive modeling accuracy, and high-impact analytics delivered on mission-critical patient healthcare deliverables.

Bronze Award for Efficacy & Innovation

IQVIA Corporate Award

Conferred in recognition of measurable productivity gains from the Automated QC Tool and SlideSync automation, saving ~100 hours each month.

Best Paper Award

1st International Conference on Mechanical Engineering (ICME)

Recognized for highest caliber research and paper presentation among international university and industry submissions.

Professional Certifications

Generative AI: Introduction to Large Language Models
Artificial Intelligence Foundations: Machine Learning
Blockchain and the Internet of Things
Principles of Good Design by Dieter Rams
Thinking Creatively & Systems Thinking
Certificate of Participation & Technical Excellence
Let's Connect

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