Seb D
@sebd
Experienced Principal Data Scientist driving strategic business decisions.
What I'm looking for
I am a Principal Data Scientist with over a decade of experience leveraging data insights to drive strategic business decisions. My proficiency in advanced analytics tools enables me to effectively detect and prevent fraud in credit and debit transactions. I have a deep understanding of statistical learning and data visualization, consistently delivering innovative solutions to complex problems.
Currently, I work at Discover Financial Services, where I develop and implement fraud decline rules using advanced analytics and machine learning. My efforts have significantly improved customer experience while balancing risk mitigation. I have also spearheaded cross-functional initiatives to proactively address evolving fraud landscapes, collaborating with various teams to enhance our strategies and outcomes.
Previously, as a Senior Data Analyst at Sears Holding Corporation, I built and automated offer recommendation models that drove a 3% margin lift. My experience includes pioneering new data visualization techniques and utilizing machine learning methods to provide strategic recommendations. I am passionate about transforming raw data into compelling narratives that drive business success.
Experience
Work history, roles, and key accomplishments
Principle Data Scientist
Discover Financial Services
Oct 2019 - Present (5 years 8 months)
Developed and implemented fraud decliner rules using advanced analytics and machine learning, balancing risk mitigation with customer experience enhancement. Created dynamic holiday strategies to improve customer experience and reduce disruption rates, leveraging data-driven insights for optimal outcomes.
Senior Data Analyst
Sears Holding Corporation
Jun 2016 - Oct 2019 (3 years 4 months)
Built and automated offer recommendation model in R for New York stores, identified and delivered best performing offers and adjusted promotion depth based on regional performance and drive 3% margin lift. Pioneered new data visualization techniques, transforming raw data into compelling narratives.
Internship
Guardian Capital
May 2014 - Aug 2014 (3 months)
Developed ETL process automation using Visual Studio, enhancing mortgage payment data updates to SQL server, streamlining operations and improving data accuracy. Engineered property location datasets, integrating crime rates and public health data via Tableau and Google Fusion Table for comprehensive asset pricing analysis.
Education
Degrees, certifications, and relevant coursework
Missouri State University
Master of Nature and Applied Science, Statistics
Completed a Master's degree focusing on Statistics. Gained advanced knowledge in statistical methodologies and their applications.
Missouri State University
Bachelor of Science, Math
Obtained a Bachelor of Science degree with a major in Mathematics. Developed a strong foundation in mathematical principles and problem-solving.
Availability
Location
Authorized to work in
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