RECOMMENDATION ENGINE
Designed and implemented movie recommendation application in 4-person team using Python in 3-day hackathon Enabled users to be recommended movies based on 50+ data points; awarded most innovative project by Google engineer
I turn data into working tools, from a hackathon recommendation engine to production-style analyses during internships.
Projects include a Python-based movie recommendation app built in a 3-day hackathon and a C++ Unix-style OS that won first prize in senior design.
Designed and implemented movie recommendation application in 4-person team using Python in 3-day hackathon Enabled users to be recommended movies based on 50+ data points; awarded most innovative project by Google engineer
Designed and implemented Unix-based operating system in 4-person team using C++ Awarded First Prize in Computing’s Senior Design Projects (out of 100 teams)
I turn data into working tools, from a hackathon recommendation engine to production-style analyses during internships.
I am a data science intern with hands-on experience building models and applications. I have worked on recommendation systems and a Unix-style OS during team projects, and I know SQL, Python, MATLAB, PHP, JavaScript, and HTML/CSS. I studied engineering and spent time at the LSE on a study abroad program in international business and globalization.
Experience
Data Science Intern
RESUME WORDED & CO. (8 employee venture-backed recruitment startup) · Jun 2017 – Sep 2017
Data Analyst Intern
EXCITING COMPANY · Jun 2016 – Sep 2016
Education
RESUME WORDED UNIVERSITY
Bachelor of Engineering
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Study Abroad Program in International Business and Globalization · Class of 2017
Skills
Designed and implemented movie recommendation application in 4-person team using Python in 3-day hackathon Enabled users to be recommended movies based on 50+ data points; awarded most innovative project by Google engineer
Designed and implemented Unix-based operating system in 4-person team using C++ Awarded First Prize in Computing’s Senior Design Projects (out of 100 teams)