Saptarshi C.

Data Scientist

Bellevue, Washington, United States14 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

14 years of experience in machine learning systems.
Developed multi-billion-dollar sales and marketing models.
Led significant churn mitigation efforts for Azure customers.

Stackforce AI infers this person is a SaaS Data Science expert with a strong focus on machine learning and customer analytics.

Contact

saptarshichaudhuri88@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData ScienceCausal Inference

Other Skills

ASP.NETASP.NET SignalRAlgorithmsApplied SciencesBusiness StatisticsCC#C++CSSCollaborative FilteringComputer ScienceData AnalysisData StructuresData WarehousingDatabases

About

Data Science @ Anthropic. ------------------------------------------------------------------------------------------------------------ Previously, I was a Principal Data & Applied Science Lead at Microsoft Cloud & AI, with 14 years of experience building machine learning systems that drove measurable business impact. My work spanned customer growth analytics, commerce, search relevance, and large-scale data infrastructure. Selected highlights: 1. Generated significant cloud security sales pipeline by identifying customers with highest propensity and need. 2. Designed and built Azure churn metrics, used by engineering and marketing teams across Cloud + AI for 8+ years. 3. Developed attribution and recommendation models guiding multi-billion-dollar Sales and Marketing investments. 4. 3+ years of people management experience including charter development, getting executive sponsorship, stakeholder engagement, and recruiting. Technical expertise: Machine learning, reinforcement learning, real-time data processing, and scalable cloud systems (PySpark, Python, PyTorch, Scala, SQL). Experienced in cross-functional engagement with Research, Product, Sales, Finance, and Marketing. Education: MS Computer Science (University of Washington); BTech Computer Science (NIT Rourkela). Publication: Applied Energy Journal — research on climate prediction using explainable AI.

Experience

14 yrs 7 mos

Total Experience

13 yrs 11 mos

Average Tenure

8 mos

Current Experience

Anthropic

Data Scientist

Sep 2025 – Present · 8 mos · United States · Hybrid

Microsoft

5 roles

Principal Data and Applied Scientist Manager

Promoted

Jan 2022 – Sep 2025 · 3 yrs 8 mos

Working at the intersection of Cybersecurity and Machine Learning by building product recommendation systems to support Sales, Product and Marketing Led growth of Microsoft's Cloud Security Products

PyTorchTeam ManagementBusiness StatisticsDatabasesPython (Programming Language)Project Management+14

Sr. Data and Applied Scientist

Mar 2018 – Dec 2021 · 3 yrs 9 mos

Selected Projects:
1. Built Causal Inference models to support data driven investment allocation to support Cross-Cloud adoption and growth for Microsoft. Leveraged Neural Nets based regression models and Explainable AI (Shapley Attribution) to allocate investment ROI/Impact to customer's revenue growth, thus providing guidance on the right investment for the right product and for the right customer of Microsoft.
2. Recommendation Ranking: Developed recommendation ranking models that can identify the next best guidance needed by a customer. Leveraged concepts of Search Ranking, Collaborative Filtering

PyTorchTeam ManagementBusiness StatisticsDatabasesPython (Programming Language)Project Management+14

Data And Applied Scientist 2

Promoted

Mar 2016 – Feb 2018 · 1 yr 11 mos

Selected Projects:
1. Led the development of Azure Customer Churn KPI that is still leveraged (as of 2023) across Engineering, Finance and Marketing teams. Additionally, built a Customer Risk Prediction model for the Azure Direct customer segment and supported churn mitigation of our customers by ~50% for select sub-segments.
2. Customer Segmentation model (clustering) for the Azure Direct segment that helped Marketing teams design Customer Nurture motions (such as "Customer Success Management") for our Azure PAYG customers.

Business StatisticsDatabasesPython (Programming Language)Project ManagementComputer ScienceCausal Inference+7