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Ekaterina Stepanova

@ekaterinastepanova

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Lead data scientist specializing in GenAI, ML-driven optimization, and production analytics solutions.

Singapore

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What I'm looking for

I seek senior ML/GenAI roles where I can lead production-grade AI initiatives, collaborate cross-functionally, shape governance/MLops, and deliver measurable business impact.

I am a Lead Data Scientist with a PhD-level background in theoretical physics and extensive experience building production ML and GenAI solutions for enterprise and public-sector customers. I have led cross-functional teams to deliver look-alike models, multi-agent GenAI underwriting frameworks, large-scale geospatial analytics platforms, and LLM-powered customer care tools.

My work spans end-to-end model development, deployment and governance: I co-created an LLMOps framework and a GenAI development handbook, implemented optimization and dispatch models (Gurobi, PuLP), and integrated ML systems into business workflows using LangChain, Pinecone, Databricks, Docker, and cloud platforms. I bring strong analytical rigor, production experience, and a collaborative approach to drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Puresoftware

Aug 2024 - Present (1 year 6 months)

Led development and implementation of Look-Alike and multi-agent GenAI underwriting solutions, authored GenAI Development Handbook, and collaborated cross-functionally to deliver Connected Care Concierge using LLMs and ML.

Python GenAI LLM Optimization Pinecone Team Leadership

Senior/Lead Data Scientist

McKinsey & Co.

Sep 2021 - Aug 2024 (2 years 11 months)

Led a team to build a geospatial analytics platform with 20+ dashboards, developed LLM-based customer care analytics and chatbot solutions, and implemented optimization models for dispatch and store location planning.

Tableau LLM OpenAI Gurobi Python Geospatial Pinecone

ML Specialist

KORUS Consulting

Sep 2019 - Sep 2021 (2 years)

Executed customer analytics projects including clustering, churn forecasting, and a recommendation system using embeddings and Word2Vec; completed 10+ pilot projects across retail, pharmacy, and supply chain.

Python Word2Vec Embeddings Clustering Churn Modeling Recommendation Systems SQL scikit learn Statistical Modeling

Research Assistant

Lomonosov Moscow State University

Jan 2015 - Dec 2019 (4 years 11 months)

Co-authored research in theoretical elementary particle physics, taught a course in Theoretical Mechanics, and contributed to published work on Higgs boson production.

Theoretical Physics Research Scientific Writing Teaching Mathematical Modeling Data Analysis

Specialist

B&N Bank

Oct 2013 - Jun 2014 (8 months)

Prepared 100+ performance reports for the Emission department and implemented procedures to accelerate report consolidation and improve reporting quality.

Reporting Data Consolidation SQL Excel Process Improvement

Education

Degrees, certifications, and relevant coursework

Lomonosov Moscow State University

PhD, Theoretical Physics

2015 - 2019

Activities and societies: Passed PhD qualification exams (Theoretical Physics, Philosophy, English).

PhD program in theoretical physics with coursework in quantum field methods, the Standard Model, and history/philosophy of science; thesis on Higgs boson production via gluon fusion and published in Moscow University Physics Bulletin (2018).

Lomonosov Moscow State University

Specialist in Physics, Physics

2009 - 2014

Grade: 5.0 GPA

Activities and societies: Recipient of personal scholarship (2010–2015).

Specialist degree in Physics with coursework spanning mathematics, computer science, and economics; thesis on production and two-photon decay of the Higgs boson at the LHC.