Ejegu (E.J.) Smith Email & Phone Number

Seattle, Washington, US

• Design and implement Python scripts to enhance validation checks and operational efficiency
• Build One-Class SVM and Isolation Forest algorithms for property data anomaly detection
• Develop classification models (e.g., Random Forest, Gradient Boosting, Logistic Regression) to address and predict critical business challenges
• Leverage SQL and Python to uncover trends in housing data discrepancies and ensure comprehensive quality control.

Seattle, Washington, US

• Extract, transform, and load (ETL) housing data from counties across the U.S.
• Demonstrate source to target mapping using several in-house tools
• Utilize SQL and Python to locate trends in data discrepancies and ensure quality control
• Develop Python programs to automate workflows
• Generate and present key statistical insights using Pandas, Matplotlib, Seaborn, Tableau, etc.
• Build various property classification models using Scikit-learn

Seattle, Washington, US

• Utilized county data and Zillow’s algorithms to quickly and accurately value real estate
• Utilized SQL and Python to find trends in housing data and deliver actionable business insights
• Consistently exceeded metrics by monitoring numerous real-time queues while maintaining service level agreements for timely resolution.
• Performed market research

Montreal, Quebec, CA

• Demonstrated strong problem solving skills by efficiently analyzing 100+ high-risk transactions per day.
• Combined and analyzed large, complex data sets to detect anomalies, develop actionable insights, and generate tactical intelligence.
• Conducted weekly reports utilizing SQL/MS Excel to interpret trends in data and create fraud preventative solutions.
• Trained incoming fraud analysts in the Bellevue and India offices. Provided continued mentorship, which helped drive team quality and productivity.

Seattle, WA, US

• Demonstrated analytical/problem solving skills by using company databases along with various research methods in order to solve complex problems and ultimately contribute to a positive customer service experience.
• Assisted with investigation and root cause resolution for Fulfillment by Amazon merchant and customer issues.
• Contributed to the definition and design of improvements to standard operating procedures, and Technical account management for merchants and customer service associates.
• Exceeded weekly productivity and quality targets.
• Engaged in QA practices to identify problems and insure high quality ticket resolution rates.

Seattle, WA, US

• Provided a strong foundation of algebra and calculus principals to students, which contributed to a significant increase in test scores.
• Established strong relationships that provided guidance and confidence to first generation college students.
• Contributed to the formation and development of student enrichment programs.

Master'S Degree, Data Science

Bachelor’S Degree, Economics

High School Diploma