Shayoni Dutta — Product Manager

Hands-on data platform and analytics leader with over 10 years of post-PhD experience delivering enterprise-scale analytics ecosystems across biopharma R&D, clinical operations, and global supply chain functions. Proven end-to-end owner of Databricks Lakehouse–based data products, including ingestion pipelines, curated data models, governed semantic layers, and self-service analytics capabilities. Recognized for translating complex scientific and operational data into decision-ready platforms. Signature Achievements Owned and delivered an enterprise-wide semantic layer (Knowledge Graph) spanning Manufacturing, Quality, and Logistics from raw materials through distribution, standardizing lead-time and risk KPIs, and uncovering systemic bottlenecks through network analytics, contributing approximately £300M in savings within six months. • Built and productionized a Databricks-based agentic orchestration platform to predict supply delays and recommend proactive batch rescheduling using Bayesian sweep methodologies; scaled the solution from MVP to production with a 30–40 engineer team, generating approximately £100M in annualized value with £500M projected impact. • Designed and published a novel Target Pharmacology Assessment pipeline integrating mechanistic QSP models with data-driven analytics, enabling differentiation of internal PROTAC programs versus external benchmarks and accelerating progression toward clinical development (PubMed ID: 38375820). • Served as an influential technical architect in the development of Certara IQ™, a commercial AI-enabled QSP modeling platform that operationalized mechanistic modeling at enterprise scale. • named a Databricks Champion for hands-on leadership in orchestration and platform adoption. • Led a rapid-delivery team of 10 engineers to build an MVP in 48 hours, identifying golden-batch deviations and downstream delay risk; completed value assessment within three days, validating approximately £100M in potential savings and earning a Bronze Award for innovation.

Stackforce AI infers this person is a Data Science and Analytics leader in the Biopharma sector.

Location: Brentford, England, United Kingdom

Experience: 14 yrs 7 mos

Skills

Data Engineering
Supply Chain Optimization
Data Analysis
Quantitative Modeling

Career Highlights

Delivered £300M savings through a semantic layer project.
Built a predictive platform generating £100M annualized value.
Named a Databricks Champion for leadership in analytics.

Work Experience

GSK

Data Science Manager (2 yrs 2 mos)

Senior Principal Data Scientist (1 yr 3 mos)

Certara

QSP and Data Scientist (11 mos)

MathWorks

Senior Application Engineer-Data Science (3 yrs 3 mos)

Bayer

Data Scientist (1 yr 3 mos)

SUN PHARMA

Digital Imaging Scientist (8 mos)

Lok Nayak Jayaprakash Narayan National Institute of Criminology and Forensic Science

Adjunct faculty (3 yrs 11 mos)

Indian Institute of Technology, Delhi

PhD (4 yrs 8 mos)

Education

Doctor of Philosophy (Ph.D.) at Indian Institute of Technology, Delhi

Master of Science (MS) at Birla Institute of Technology, Mesra

Bachelor of Science (B.S.) at Delhi University

High school at Delhi Public School - R. K. Puram

at Carmel Convent School, Delhi

Shayoni Dutta

Product Manager

Brentford, England, United Kingdom14 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Delivered £300M savings through a semantic layer project.
Built a predictive platform generating £100M annualized value.
Named a Databricks Champion for leadership in analytics.

Stackforce AI infers this person is a Data Science and Analytics leader in the Biopharma sector.

Contact

Skills

Core Skills

Data EngineeringSupply Chain OptimizationData AnalysisQuantitative Modeling

Other Skills

Data-driven Decision MakingBusiness Data ManagementData IntelligenceE2EMachine LearningCell Based AssaysStakeholder ManagementData Quality AssuranceData CoordinationCytotoxicityClinical DataPDBProgrammingMatlabC++

About

Experience

14 yrs 7 mos

Total Experience

2 yrs 7 mos

Average Tenure

3 yrs 5 mos

Current Experience

Gsk

2 roles

Data Science Manager

Feb 2024 – Present · 2 yrs 2 mos

Sp Served as the primary internal owner of Databricks-based analytics products supporting global supply
chain decision-making, defining the platform roadmap, phased delivery plan, and enterprise adoption
strategy across Manufacturing, Quality, and Logistics.
Architected and governed end-to-end data ingestion, transformation, and curation pipelines for structured
and semi-structured operational data, including SAP manufacturing, procurement, and logistics systems.
Established subject-area data models and a governed enterprise semantic layer (Knowledge Graph) to
standardize key performance indicators, such as lead time, bottleneck risk, and network centrality, and
enable scalable self-service analytics.
Built and scaled a predictive orchestration platform to forecast supply delays and recommend mitigation
actions using constraint-aware optimization and Bayesian sweep methodologies, scaling the solution from
MVP to production with a 30–40-engineer delivery team.
Partnered closely with IT, Security, and Engineering leadership on access controls, release management,
documentation, and enablement to drive adoption within a highly regulated enterprise environment.

Data-driven Decision MakingData EngineeringBusiness Data ManagementData IntelligenceE2ESupply Chain Optimization

Senior Principal Data Scientist

Nov 2022 – Feb 2024 · 1 yr 3 mos

Designed and delivered a novel Target Pharmacology Assessment pipeline within the first year, integrating
mechanistic QSP models with data-driven analytics to identify key drivers of efficacy and therapeutic
differentiation.
Enabled rigorous, evidence-based comparison of internal PROTAC programs against external benchmarks
(including ARD-110), directly informing program design, prioritization, and optimization decisions.
Drove substantial preclinical cost and timeline efficiencies by identifying early failure modes and required
design modifications, accelerating progression toward clinical readiness.
Developed a methodology that was peer-reviewed and published (PubMed ID: 38375820), establishing a
reusable, scalable decision framework adopted across multiple programs.

Cell Based AssaysStakeholder ManagementData Quality AssuranceData CoordinationData AnalysisQuantitative Modeling

Certara

QSP and Data Scientist

Dec 2021 – Nov 2022 · 11 mos · England, United Kingdom

Served as a key technical architect in the development of Certara IQ™, an AI-enabled QSP modeling
software platform.
Designed and contributed to scalable QSP workflows, model orchestration, and reusable components,
enabling broader adoption across pharmaceutical clients.
Partnered cross-functionally with scientific, product, and engineering teams to translate advanced
quantitative modeling into robust, production-grade, user-facing software capabilities.

CytotoxicityQuantitative Modeling

Mathworks

Senior Application Engineer-Data Science

Aug 2018 – Nov 2021 · 3 yrs 3 mos · New Delhi Area, India

Delivered advanced analytics and data engineering solutions across pharmaceutical, medtech, and imaging
domains, encompassing quantitative modeling, ETL pipeline development, cloud integration, and
production deployment using Spark, Hadoop, Azure, and GCP.
Led complex customer engagements applying QSP/PK-PD modeling, machine learning, optimization, and
computer vision to inform scientific strategy and drive data-backed business decision-making.

Stakeholder ManagementData Engineering

Bayer

Data Scientist

May 2017 – Aug 2018 · 1 yr 3 mos · Thane

Analyzed clinical operations datasets, including CTMS-derived data, to develop predictive models
supporting trial enrolment, recruitment, and retention strategies.
Designed and delivered operational dashboards using Power BI and Tableau to support feasibility
assessments and portfolio-level clinical decision-making.

Clinical DataData Analysis

Sun pharma

Digital Imaging Scientist

Aug 2016 – Apr 2017 · 8 mos · Mumbai Metropolitan Region

Developed computer vision and deep learning models for preclinical oncology, applying image
segmentation, pattern recognition, and color deconvolution techniques to SCN mouse imaging data to
predict cancer stage and detect tumors, supporting translational research workflows.

Lok nayak jayaprakash narayan national institute of criminology and forensic science

Adjunct faculty

Sep 2012 – Aug 2016 · 3 yrs 11 mos · Home Ministry

Bioinformatics, Linux, programming in Perl and statistical analysis in the field of forensic sciences.

PDB

Indian institute of technology, delhi

PhD

Jul 2011 – Mar 2016 · 4 yrs 8 mos · Greater Delhi Area

" A Computational study of DNA-protein(Zinc Finger Proteins) interactions."
Machine learning , algorithm development, statistical analysis, Drug discovery, Molecular dynamic simulations and web-server development.