Yash Jaiswal

AI Researcher

Pune, Maharashtra, India4 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Winner of the Merck Datathon for innovative healthcare solutions.
Developed predictive models enhancing treatment completion rates.
Led analytics solutions reducing turnaround time by 60%.

Stackforce AI infers this person is a Healthcare Data Scientist specializing in analytics and machine learning.

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Skills

Core Skills

Healthcare AnalyticsData ScienceData Strategy

Other Skills

PySparkGenerative AIAgentic AI DevelopmentStatistical ModelingDeep LearningPipeline StandardizationDescriptive StatisticsPatient Longitudinal DataDigital Campaign AnalyticsData ValidationPythonHypothesis TestingHCP Segmentation and TargetingData Visualization & DashboardsReal World Data (RWD)

About

I am a Data Scientist with a strong focus on pharmaceutical analytics, patient journey insights, and real-world data (RWD) applications. With over a year of experience in AI, I leverage machine learning and GenAI to optimize patient outcomes and drive strategic healthcare decisions. My expertise lies in transforming complex data into actionable insights, particularly in the domains of rare diseases, cardiology, immunology, and neuroscience. I am currently pursuing an MBA from the University of Massachusetts, which complements my technical skills and enhances my strategic thinking in healthcare analytics. Throughout my career, I have successfully executed complex analytical projects, collaborating with cross- functional teams to deliver insights that support both pre- and post-launch strategies. I am proficient in Python, SQL, and various machine learning algorithms, and I excel in building automated dashboards to facilitate data-informed decision-making. My goal is to continue leveraging GenAI in healthcare analytics to drive impactful changes in patient care and engagement. Key Achievements: - Winner of the Merck Datathon (India + Europe) in 2023 for designing data-driven solutions that improved treatment outcomes in underserved regions. - Developed an XGBoost predictive model that enhanced treatment completion rates and optimized substance abuse program effectiveness. - Led the development of Patient Analytics and HCP Analytics solutions using Agentic AI, achieving a 60% reduction in turnaround time through intelligent workflow automation.

Experience

4 yrs

Total Experience

2 yrs

Average Tenure

2 yrs 8 mos

Current Experience

Msd

2 roles

Associate Manager II Data Science

Promoted

Jun 2025 – Present · 11 mos · Hybrid

In my current role at MSD Pharmaceuticals, I deliver advanced analytics across various therapeutic domains, including Rare Disease, Cardiology, Immunology, and Neuroscience. I utilize exploratory data analysis (EDA) and patient longitudinal datasets (PLD) to derive insights that inform patient and healthcare professional (HCP) strategies. I lead vendor pods to provide commercial analytics support, ensuring effective management of deliverables and stakeholder expectations. My focus on project planning and analytical execution allows me to structure complex projects and apply statistical modeling to optimize patient journeys and compliance.
Achievements: I have successfully designed early analytics pipelines that reduced turnaround time by 60% and developed innovative solutions leveraging Agentic AI, which significantly improved workflow efficiency. My contributions to HCP segmentation and talent leadership have also been instrumental in identifying high-impact HCPs and enhancing team capabilities through effective onboarding processes.

PySparkGenerative AIHealthcare AnalyticsData Science

Associate Manager- Data Science

Sep 2023 – Jun 2025 · 1 yr 9 mos · Hybrid

Disease Areas: Rare Disease, Cardiology, Immunology and Neuroscience
Data Scientist in Pharma Healthcare Domain, performed analytical work by leveraging EDAs, drafting
business rules, contributing in patient analytics and HCP analytics using statistical and data science
approaches.
Using Descriptive statistics & Patient Longitudinal dataset(PLD), drafted Line of Therapy business rules,
performed Source of Business analysis, Patient Journey analysis, Persistency and Compliance.
Directed pre-launch strategy by building innovative Early Analytics pipeline using RWD and Dataiku

Deep LearningPipeline StandardizationHealthcare AnalyticsData Science

Aspect ratio

Quantitative Analyst

May 2022 – Sep 2023 · 1 yr 4 mos · Pune District, Maharashtra, India

As a Quantitative Analyst at Aspect Ratio, I was part of the Data Strategy and Innovation team supporting a top 5 U.S.-based pharmaceutical client. I extracted actionable insights from patient claims datasets across multiple therapeutic areas, including Oncology and Vaccines, and worked extensively with Patient Level Data (PLD) to drive high-impact business decisions.
My role involved supporting vendor data evaluation and purchase decisions across platforms such as IQVIA, Komodo, and Epsilon, ensuring optimal data sourcing strategies. I analyzed the effectiveness of digital campaigns targeting healthcare practitioners using advanced digital datasets, enabling data-driven marketing optimization.
I designed and implemented machine learning models tailored to specific use cases and translated business problems into analytical solutions, while also guiding the Data Science team on strategic implementation. Additionally, I developed and enhanced dynamic dashboards using Spotfire and Power BI for performance tracking, data quality monitoring, and stakeholder reporting.
I was also responsible for end-to-end data validation, quality checks, and documentation to ensure data integrity and reliability across periodic data updates.
Achievements:
I played a key role in strengthening data-driven decision-making by improving dashboarding capabilities and data validation frameworks, leading to enhanced accuracy and efficiency in analytics workflows. My contributions to campaign analysis and data strategy significantly improved stakeholder insights and supported more informed business decisions.

Pipeline StandardizationPySparkData StrategyData Science

Tabxo labs llp

Engineering Trainee

Oct 2020 – Apr 2021 · 6 mos · Nagpur, Maharashtra, India

Tools:
Python | Opencv | LabView | Numpy | Pandas | Embedded C | Tkinter | Firmware Development
Technology:
Image Processing | Embedded System | Box Detection | Conveyor Detection | Cyclic FIFO for ESP32 License Generator and Verification In LabView | CRC | QR Generator | XML Parser | TreeView |
Tractor Tyre Orientation Detection | Movement Detection | Object Tracking | CRC16 | NTPClient Time Fetch | Hough Detection |
Hardware:
LIDAR Camera | Terabee3D Cam | ESP32 | Arduino | Raspberry Pi 4 ,3B+|

Python