Senior Data Scientist

A Data Scientist holding a MSc. in Applied Statistics and a BSc. in Applied Mathematics with over 8 years of experience who specializes in applying advanced quantitative and predictive modeling to solve complex problems across finance, healthcare, and education. Managed full data lifecycle: from the architectural groundwork of ETL, pipeline development, cloud migration utilizing Databricks-PySpark, and SQL to optimize enterprise data management to the final delivery of visualization. My technical expertise extends to AI and research. I also authored multiple publications on global health statistics and Bayesian modeling. I leverage blend of statistical theory and technical fluency in Python, R, and cloud tools to drive measurable business value and innovation.

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About Me

My background in Applied Statistics, Mathematics, and Cloud Engineering.

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Experience

8+ years at TD Bank, Frontier, CDC-CHAMPS, and Oromia Bank.

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Publications

Research on Bayesian modeling and global health statistics.

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Projects

Technical implementations in AI, NLP, and MLOps.

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Contact

Open for collaboration in Data Science and Actuarial R&D.

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Recent Impact

Senior Data Engineer at TD Bank Group: Spearheaded the end-to-end data lifecycle for cloud migration projects on Azure. Designed robust ETL frameworks and optimized pipelines using PySpark and SQL, significantly enhancing enterprise data management and processing efficiency.