Stephen Kangu

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Led the data ingestion efforts for our 3-person team, developing a real-time tracker of campus events for
universities in Nairobi
Built web scraper in Python to acquire data from campus groups' websites, and built an ETL
Won 2nd place overall out of 11 competing campus teams
Scaled web app to over 30 universities in Texas, resulting in 1,700 monthly active users across those
campuses
Created several frontend web development projects using JavaScript, CSS and html such as the counter
website
And hence implemented SEO skills in the websites too
Developed a project using python which among many include stopwatch, counters etc
Used data from the Wikipedia to analyse and predict Nairobi security exchange behavior using python on
Jupyter notebook
Analysed and worked on several projects using python libraries includin
Product recommendation for e-commerce using the decision tree
Fake news detection using naïve Bayes
Tweets and sentiment analysis
Image detection using TensorFlow library
Movie classification
Built out the data and reporting infrastructure from the ground up using Tableau and SQL to provide realtime insights into the product, marketing funnels, and business KPIs
Created interactive cohort analysis report in Tableau Server for the product team with global filters and
parameters that helped improve monthly retention by 17% for a specific target 

Led the data ingestion efforts for our 3-person team, developing a real-time tracker of campus events for
universities in Nairobi
Built web scraper in Python to acquire data from campus groups' websites, and built an ETL
Won 2nd place overall out of 11 competing campus teams
Scaled web app to over 30 universities in Texas, resulting in 1,700 monthly active users across those
campuses
Created several frontend web development projects using JavaScript, CSS and html such as the counter
website
And hence implemented SEO skills in the websites too
Developed a project using python which among many include stopwatch, counters etc
Used data from the Wikipedia to analyse and predict Nairobi security exchange behavior using python on
Jupyter notebook
Analysed and worked on several projects using python libraries includin
Product recommendation for e-commerce using the decision tree
Fake news detection using naïve Bayes
Tweets and sentiment analysis
Image detection using TensorFlow library
Movie classification
Built out the data and reporting infrastructure from the ground up using Tableau and SQL to provide realtime insights into the product, marketing funnels, and business KPIs
Created interactive cohort analysis report in Tableau Server for the product team with global filters and
parameters that helped improve monthly retention by 17% for a specific target