Hi, I'm Wells
A problem solver and a quick learner with critical thinking, boundless curiosity, and a diverse educational background. 4-year experience as a data scientist. Skilled in machine learning, statistical modelling, ETL, and visualization. Seeking to refine my data analytics skills in a diverse field with a challenging working environment.
Trending Items Prediction with Fashion Apparels
Discovering traits that make products go viral with H&M sales data. Supporting stakeholders in understanding what attributes affect trending.
Arc'teryx Industry Challenge
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.
Vessel Trip Extraction
Developed a data pipeline in Python, transforming positioning AIS data into trip-based vessel trajectory for predictive analytics.
About me
My introduction to data science began in a third-year university data visualization course, igniting a passion that has shaped my career. The research data science experience at UBC laid the foundation for my journey, leading to further skill refinement in the rigorous BrainStation Data Science BootCamp.My comprehensive skill set, honed through the intensive BootCamp and hands-on projects, positions me as a proficient data practitioner. Post-BootCamp, I aim to leverage this blend of existing and newly acquired skills to secure a rewarding position as a data analyst, BI developer, or junior data scientist.Skills: SQL, Python, R, Hypothesis Testing, A/B tests, Parametric and non-Parametric tests, Tableau, Matplotlib, Plotly, Seaborn, Machine Learning in scikit-learn, Tensorflow, Keras, Pytorch, AWS, Hadoop, Spark, Hive, Docker