Mona Habibi

About Mona Habibi

I specialize in translating ambiguous, high-stakes problems into practical data and AI solutions that deliver measurable business outcomes.With over 10 years spanning applied research and industry leadership, I’ve owned end-to-end analytics initiatives — from problem framing through production-ready data solutions. I pair deep technical rigor with clear, practical communication to ensure complex analyses translate into strategies leaders can act on.I’m especially interested in roles where data science directly impacts people, health, or long-term decision-making.

Experience

1. Associate Director Data Scientist

   Kyndryl

   Aug 2022 — Present · US

   Architected and deployed a LangGraph-based multi-agent performance testing assistant for Kaiser\'s systems, transforming a resource-intensive manual analysis process (hours per test run) into an automated, minute-by-minute system for identifying system bottlenecks.Developed a synthetic data generation framework using Python and LangChain to create scenario-driven synthetic test datasets, significantly improving test data preparation efficiency for technical users.Designed a data-driven solution to profile high-risk Medicare populations using advanced analytics on emergency department records and social-risk features, enabling the strategic design of targeted, high-impact outreach programs.Led a team of data scientists to develop an automation solution for financial transaction consolidation using fine-tuned large language similarity models and Gen AI in AWS, reducing manual effort from 7 months to a few weeks.Led an interdisciplinary team of data scientists and developers to build a web application for talent matching using large language models and Faiss search, resulting in reduced labor costs and improved placement for the Talent Management Team.Mentored junior data scientists in benchmarking machine learning models for predicting heart transplant failure using federated learning approaches, enabling informed strategic decisions for the Pediatric Heart Society.Led a team of data scientists & analysts to automate & standardize the risk calculation and management of account health within Kyndryl US; provided a 360 view on accounts risk (in Python).Developed a forecasting engine to predict the number of births monthly for Women & Infant Hospital, improved the forecast accuracy by 22%(in Python).Co-lead Women in data science chapter with focus on mentoring & aspiring female data scientistsMentoring summer interns and junior data scientists.

Education

• Western University

  Doctor of Philosophy (PhD), Applied Mathematics/Physics

  2009 — 2014

• Amirkabir University of Technology - Tehran Polytechnic

  Bachelor of Science (BSc), Physics

  2000 — 2004

• Sharif University of Technology

  Master of Science (M.Sc.), Physics

  2006 — 2008

Skills

• Computational Physics
• University Teaching
• Fortran
• Programming
• Statistics
• C++
• Molecular Modeling
• High Performance Computing
• Mathematical Modeling
• Molecular Dynamics
• Physics
• Teaching
• Statistical Data Analysis
• Data Analysis
• Data Mining
• Biophysics
• Science
• Machine Learning
• Scientific Computing
• R
• Matlab
• Numerical Simulation
• Applied Mathematics
• Mathematica
• Hadoop
• Simulations
• Numerical Analysis
• Research
• Algorithms
• Modeling
• Materials Science
• Monte Carlo Simulation
• Python
• Latex
• Scientific Writing
• Sql