Ralitza Mondal

About Ralitza Mondal

I’m a Data Scientist with a passion for building ML-driven products that deliver measurable business impact. With experience deploying end-to-end machine learning solutions on AWS—including Amazon SageMaker, Glue, Lambda, and Athena—I specialize in operationalizing models at scale and aligning data science initiatives with business goals.Currently, I work as a Senior Data Scientist at Symetra, where I’ve led efforts across NLP, risk modeling, and predictive analytics in the insurance and financial services space. My recent work includes working with BERT-based models for sentiment and semantic analysis, automating risk flagging for financial transactions, and developing ensemble models that reduced underwriting costs by 10% and increased operational efficiency by 30%.I’m especially interested in solving ambiguous, high-impact problems using a mix of classical statistical techniques (e.g, hypothesis testing, causal inference) and modern ML approaches (e.g, transformers, ordinal classification, model explainability). I also have experience building robust data pipelines and dashboards for experimentation, KPI tracking, and cross-functional insights.I hold an M.S. in Business Analytics from Seattle University and a B.Sc. in Economics and Mathematics with a Computer Science minor from Clark University.Technical Focus:🧠 NLP & ML: BERT, TensorFlow, scikit-learn, explainable models Analytics: Python, SQL, R, Power BI, hypothesis testing, A/B testing Cloud & MLOps: SageMaker, Glue, Lambda, Athena, Docker, EC2 Data Strategy: ETL, KPI design, product experimentation, stakeholder collaborationLet’s build intelligent systems that make sense of messy data, solve real business problems, and shape the future of AI-enabled products.

Experience

1. Data Scientist Ii

   Capgemini

   Oct 2025 — Present · Bellevue, WA, US

Education

• Clark University

  Bachelor's degree, Data Science

  2015 — 2019

• Seattle University

  Master of Science - MS, Business Analytics

  2019 — 2020