Highlights:

Skills:Data Wrangling, Data Mining, Statistical Analysis, Data Visualization, Statistical Modeling, Machine Learning, Forecasting, A/B testing

Goal:Business Analyst Data Analyst Business Intelligence

Certification:Graduate Certificate in Data Science

Business Analyst 11/2023 - current
Suavton Group LLC, Arcadia, CA United States
Industry: Logistics
Lead Analytics of Sales Data Analysis, BI Consulting, Interactive Dashboard Construction and Automation - Developed data-driven strategies, performed root-cause analyses, boosted customer acquisition, improved operational efficiency, and facilitated decision-making for senior leadership.
• Sales Data Analysis: Analyzed 5+ years of sales data (2 million rows), forecasted trends with Random Forest and identified customer preferences with k-means clustering. Crafted marketing plans that increased customer acquisition by 18% and boosted monthly sales revenue by 10%. • Business Consulting: Conducted root-cause analyses on supply chain operations, optimized key market variables, and performed correlation analyses, improving operational efficiency by 16% and marketing effectiveness by 24%. • Dashboard Construction and Automation: Reduced manual work by automating reports with Tableau and SQL. Created interactive dashboards with KPIs and descriptive statistics, improving delivery times by 12% and reducing logistics costs by 8%. • Technical Reporting: Developed and delivered monthly presentations to senior management, effectively communicating data insights and strategic recommendations, facilitating informed decision-making and supporting key business initiatives.--
Quantitative Researcher 08/2018 - 09/2023
University of Cincinnati, Cincinnati, OH United States
Industry: Education
Lead Analytics of Predictive Modeling, Ad-Hoc Analysis, Hypothesis Testing, and Consulting in Crime Prevention - Enhanced crime prediction accuracy, consulted senior police leadership on prevention strategies, and lowered local crime rates.
• Predictive Modeling: Engineered models using logistic and multiple linear regression in R, integrating data from various sources (600K rows). Identified key risk factors, resulting in a 25% increase in the accuracy of crime prediction models. • Ad-Hoc Analyses: Investigated emerging financial crime trends using interrupted time series design, correlating unusual activity patterns with major economic events. Provided actionable insights that enhanced crime prevention strategies by 30%. • Hypothesis Testing: Conducted hypothesis testing to validate the significance of identified risk factors, ensuring robustness and reliability in predictive models. • Crime Prevention Consulting: Provided data-driven crime prevention consulting to the Cincinnati and Dayton Police Departments, leveraging analytical insights to develop effective crime prevention strategies. • Research Competency: Sole author of two papers (2023) on evidence-based crime prevention and quantitative methodology, bridging the gap in campus policing studies.--

University of Pennsylvania 08/2016 - 05/2017
Philadelphia, PA, United States
Degree: Master's Degree
Major:Criminology
GPA 3.9/4.0

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