• Using data analysis, statistical testing and hypothesis to analyze and optimize ad campaigns• Optimizing an ad campaign consists of maximizing key KPI's such as profit, ROI% and conversion rate using statistical tools such as confidence intervals and Bayesian analysis

• Collaborating with the former Head of Data at Pebble in a mentorship program to break into the data science field

• Used Python to build and scrape NLP and Scikit-Learn content from the web• Used Python and scraped content to automate the creation of exercise problems about NLP and Scikit-Learn• Created a course that teaches how to use the Hugging Face library for Python

• Hired, onboarded, managed, led and mentored a team of 6 teachers and content creators using the SCRUM methodology• Planned the catalogue of all content that would be made for the Korbit platform (150+ courses) along with industry partners• With team, made 150+ educational videos, 1000+ practice problems and 150+ Python programming exercises• Educational content included data analyses and machine learning predictions for credit card fraud detection, customer… Show more • Hired, onboarded, managed, led and mentored a team of 6 teachers and content creators using the SCRUM methodology• Planned the catalogue of all content that would be made for the Korbit platform (150+ courses) along with industry partners• With team, made 150+ educational videos, 1000+ practice problems and 150+ Python programming exercises• Educational content included data analyses and machine learning predictions for credit card fraud detection, customer segmentation, exam score prediction, bike usage prediction, online article popularity and basketball data - just a small taste of what we taught• Subjects taught were Python, data science, data analysis, data visualization, machine learning, Scikit-Learn, Pandas, NumPy, statistics, probability and math Show less

• Planned the outline for the first batch of content that I would make for Korbit (~15 courses)• Made the first batch of content, including courses for linear regression, logistic regression, probability and statistics• Largely responsible for defining the content creation style that Korbit would adopt

• Designed weekly 80-minute problem-solving tutorials in linear algebra, calculus, logic, graph theory and set theory• Presented tutorials to 8 sections of students in group sizes from 5 to 60• Graded assignments and midterms• Met 1:1 with students to provide coaching and feedback

• Tutoring fellow colleagues in mathematics and science in high school and university