I've found a surprising amount of overlap between my work as a teacher and my development as a data scientist, and I feel lucky to have grown in both directions.
Teaching has given me years of experience breaking down complex problems, looking at them from multiple angles, and turning them into stories that make sense to others. Data science has added a new set of tools to that same core purpose—finding patterns, drawing insight, and turning those insights into steps people can actually act on. In both fields, the work only matters if the solution is communicated clearly and people can get behind it.
In this repository you'll find work from the career-track program I completed, along with newer projects. If you want to browse by topic, my website is a good place to start.
Skills :
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Python, R, SQL, Machine Learning (supervised and unsupervised), Data Wrangling, Exploratory Data Analysis, Feature Engineering, Feature Selection, Data Visualization, Predictive Modeling, Recommendation Engines, User Insight, Time Series Analysis, Classification and Clustering.
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👨💻 My portfolio website can be found here
Profiles :
