I am a results-driven Data Scientist and Machine Learning Engineer
specializing in building predictive models and data-driven systems that deliver measurable business impact.
My experience spans financial risk analytics, insurance pricing, customer segmentation, churn prediction,
and market forecasting, with a strong focus on transforming complex data into actionable insights.
I bring a solid foundation in Python, SQL, machine learning, and end-to-end data workflows,
including data preparation, feature engineering, modeling, evaluation, and deployment.
My background in regulated, data-sensitive environments strengthens my approach to data quality,
validation, and documentation, enabling the development of reliable, scalable, and production-ready analytics
solutions across multiple industries.