Statistical Analysis, Data Modeling, Machine Learning, Business Intelligence, Python, SQL, R, Tableau, Serverless, AWS, Bulma, HTML/CSS, NodeJS
Contribute data mining, EDA, and model development to a team tasked with developing a predictive data product in the pharmaceutical industry. The potential market size is 8 million people and patient treatment is valued at $250K per patient. Contribute to marketing intelligence team by providing data mining, analysis, IP improvements (codebase refactoring, model improvements), and various other tasks to improve client marketing strategies and sales. Technologies: SQL server, Tableau, Python, Google APIs, Atlassian, and internal software systems.
Evaluated by student surveys as the top stats 7 and stats 8 TA for 3 quarters. Designed and conducted weekly active-learning discussions, featuring slideshows and helpful tools not required in the job, and office hours for class sizes of 30-40 students per quarter. Created bi-weekly exam questions put under review by Professor Brigette Baldi and eventually selected.
Developed and executed a recruiting process, designed a training program, and eventually onboarded 4 tutors. Tutored 70 students with an average ACT improvement of 6 points, which increased enrollment and generated an additional $198K in 2016 revenue. Contributed to curriculum builds and updates as SAT and ACT tests underwent changes.
Hired to reform the low-performing Cypress center and manage a team of 6. After the first 5 months, tripled enrollment and doubled monthly revenue. Eventually increased total annual revenue by 50% from 2013 earnings. Promoted to manage a larger center with 10 instructors at Lake Forest. Consistently top 3 in lead conversion with a rate of 70% out of 20 directors.
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