Yuji Jeong Email & Phone Number

▸ Developed and deployed a Cold Start Prediction Model using LightGBM, achieving a 405% lift over random models by predicting conversions on HCPs with sparse or no data.▸ Developed and deployed a Precall Insights LLM Model with Anthropic Claude, providing sales reps with summary of recent trends on HCP prescription behavior, drastically reducing their data analysis time from 2 hours to 1 min.▸ Ensured model scalability and operational costs optimization by dynamically tiering ECS container sizes based on data volume, and implementing parallelization and multithreading in data processing, reducing total runtime by 88% and costs by 64%▸ Conducted thorough cost analyses and prepared comprehensive technical documentation, ensuring all stakeholders were aligned on project goals and outcomes.▸ Created and maintained a performance-tracking dashboard to monitor model accuracy and feature importance, facilitating continuous improvement.

Ottawa, Ontario, Canada

▸ Developed and deployed a machine learning risk model in Python, improving loss prevention from 5.3% to 22.7%, addressing a $2M+ annual insurance claim cost.▸ Conducted A/B experiments on booking service fees by vehicle type, recommending a variant that increase first-year revenue by $5.2M.▸ Led MLOps pipeline development on AWS for efficient model performance monitoring, data drift detection, and iterative model improvement in collaboration with the Director of Analytics.▸ Spearheaded renter risk management integration, automating verification processes and reducing manual intervention, working closely with the COO, Product Managers, and CS Team.▸ Managed statistical analysis projects on transaction, payment, and credit scores, developing risk management models with scikit-learn to identify and score fraudulent behaviors for both renters and owners.▸ Created a model interpretation dashboard to elucidate risk scoring and monitor cancellation rates.

Ottawa, Ontario, Canada

▸ Led marketing analytics and customer acquisition/retention projects across Canada, directly influencing CEO and leadership decisions through monthly progress meetings.▸ Led campaign design, strategy, selection, and offer optimization for all Canadian marketing activities.▸ Oversaw Churn Model performance and created dashboard to monitor its impact on target customer groups, optimizing campaign costs and efficiently targeting high-risk customers.▸ Directed Product Master Data Management for Canada, US, and UK, creating automated processes to track product information, sales, and customer engagement.▸ Conducted customer segmentation based on shopping behavior, socio-economic, and demographic data.▸ Developed Marketing and Product Development dashboards on Tableau to track product performance, making insights accessible to teams.

Ottawa, Canada Area

▸ Achieved a $165,944.58 reduction in production costs by correcting premium adjustment errors, and analyzing impact.▸ Designed and executed a statistical methodology for a national cost of production survey, driving high participation rates, accuracy, and statistical significance through stakeholder collaboration.▸ Automated data cleaning and transfer with Python scripts, cutting manual work by 80%.▸ Partnered with the CTO to integrate internal and external data into the Snowflake data warehouse, optimizing cross-team data retrieval through schema design.▸ Delivered critical insights to executives using Tableau visualizations, driving informed decision-making.

Ottawa, Canada Area

▸ Boosted user acquisition by 34% and lowered cost-per-acquisition through user engagement analysis and strategic recommendations to the CEO and CTO.▸ Developed customer acquisition metrics and an R Shiny dashboard to visualize behavior and segment customers, optimizing personalized promotions.▸ Conducted user engagement analysis via app interaction and interviews, identifying opportunities to enhance experience.▸ Led A/B testing on app design, significantly improving user experience and engagement.

Ottawa, Ontario, Canada

▸ Co-published research paper, “Resolution effects in reconstructing ancestral genomes” (Zheng et al.)▸ Predicted the number of translocations implementing Newton’s Method algorithm with Python and visualized the consequence of reducing noise with Seaborn library

Bachelor Of Science - Bs, Statistics

▸ Recipient of President's Scholarship ($7,500/year) ▸ Coursework: Programming I, Business Analytics, Time Series Analysis, Regression.

Simon Nehme Summer Entrepreneurship School

▸ As one of 40 participants selected, learned the basics of venture creation by participating in hands-on workshops led by entrepreneurs.