Trending Items Prediction for Fashion Apparels
Discovering traits that make products go viral with H&M sales data
Supporting stakeholders in understanding what attributes affect trending.
Data Analyst well versed in SQL, Python, Tableau, R
@WellsWang
Discovering traits that make products go viral with H&M sales data
Supporting stakeholders in understanding what attributes affect trending.
Collaborated with web developers through ideating, hypothesizing, and developing a digital solution MVP for Arc'teryx in a 24-hour hackathon. Created a data visualization tool that supports users in decision-making.
Development of the processes to extract vessel trips from raw AIS data, transforming vessel positioning data into trip-based vessel trajectories for predictive analytics.
Analyzed historical campaign dataset from a crowd funding platform. Suggested an optimized amount for the campaign goal for a board game company, and estimated the number of backers needed to achieve the goal.
Data exploration of Olist E-commerce dataset in SQL and dashboard creation in Tableau
Retail category analytics in chips (snack foods). Analyzed customer segments on household and spending type. Conducted uplift testing to validate the success of trial store sales with new layouts.
EDA on PUBG gaming dataset. Identified the correlations between player wins and other playing stats. Analysis results written in R markdown as a notebook on Kaggle.