Hanlun Wang Email & Phone Number

Richmond, BC, CA

Vancouver, British Columbia, Canada

New York, United States

• Improved product combinations, crafted an automated recommendation system, and attracted over 50K new users by implementing a thorough business plan
• Conducted competitor research using positioning analysis to compare key metrics between Francesca and rival firm identified from company products, services, and target markets using Python
• Filtered and refined the key differentiation features of Francesca and its competitor using principal components analysis on the data collected and came up with a subscription box plan for Francesca
• Tailored the recommendation algorithm of subscription box using a hybrid recommendation system that combines Content-based filtering and Collaborative filtering to match items with customers using models including.

Rochester, New York, United States

• Crafted a development strategy for the City of Rochester to boost the economy and lower the business risk with higher businessdiversity by attracting more national retailers, groceries, and restaurants to the Rochester.
• Identified the targeted businesses by analyzing the local demands and business potential using market analysis utilizing demographicdata and the current business profiles from the city’s database that over 100 variables
• Matched local neighborhoods with different targeted business by segmenting demographic data using KMeans model and identifiedthe best business solution for each neighborhood through multiple classifiers such as.

Changsha, Hunan, China

• Identified the best pricing strategy by analyzing new targeted markets, simulated market share, and projected revenue using customeranalysis and predictive models in R
• Executed pricing optimization analysis with a team of 5 for the new vehicle product K8 using customer segmentation analysisutilizing multinomial logit regression and predictive analysis on customer demographic data and.
• Actively collected and cleaned dataset with over 50k observations data and filled missing values using multiple imputations, andconducted data quality due-diligence working cross 4 different teams

Master Of Science - Ms, Computer Science, 4.0

Courses: Object-Oriented Design, Data Str, Algo & App in CmpSys, Database Management Sys, Web Development Found of Software Engineering.

Master Of Science - Ms, Business Analytics, 3.7

Courses: SQL & R Marketing Analytics, Causal and Predictive Analytics, Machine Learning with Python, Data Visualization with Tableau.

Bachelor Of Science - Bs, Hospitality Administration/Management, 3.5

Activities and Societies: Dean’s Honor List of UNLV, Member Hospitality Sales and Marketing Association InternationalCourses: Hospitality.