Rafi Rafsan Resume
rafiuldfg@gmail | xxx-xxx-xxxx| 44-25 Macnish St. Apt 3A Elmhurst, NY 11373
Dependable problem solver with 3+ years of experience looking to utilize my skills in object-oriented programming and data analysis to obtain an internship in the field of technology/ computer science.
Syracuse University, College of Engineering and Computer Science, Syracuse, NY
૦ Major: Computer Science, May 2020
૦ GPA: 3.2
૦ Coursework- Data Structures, Data Mining, Systems Programming, Database Management, Object
Oriented Programming in C++, Software Engineering with Android
Languages: Java, Python, C++, SQL, Statistical Analysis with R
Applications: Microsoft Excel, MATLAB, Tableau, Android Studios
Operating Systems: Mac, Windows, Unix, Linux
Data Analyst Intern
Reliant Realty Services, New York, NY / July 2018- August 2018
૦ Built explanatory logistic regression model to identify the tenants most eligible for affordable
housing, achieving a 30% more accurate prediction of eligibility than the previous business year
૦ Extracted, cleaned and assimilated housing data via Python as inputs to eligibility prediction model
૦ Visualized findings from analysis with MATLAB to present to co-workers and management
Data Science Intern
Syracuse University, Syracuse, NY / September 2017- April 2018
૦ Constructed SQL database of student athlete data for various Syracuse University sports teams.
૦ Performed multivariate cluster analysis on said data using K-means algorithms to inspect and divide
physical attributes of approximately 700 student athletes to better enhance team performance.
૦ Used cluster model to place athletes in their most suitable position within the lineup to put together
the most effective team, resulting in 20% more wins than the previous season.
Crew Member / Cashier
Wendy’s, New York, NY / May 2017- September 2017
૦ Adapted to a variety of tasks including working the register, preparing food in the back,
and resolving customer complaints promptly and professionally.
૦ Maintained high standards of customer service during high-volume, fast-paced operations
Interactive Fantasy Football App July 2018- August 2018
૦ Created regression model predicting players’ weekly performances based on SQL database of players
૦ Designed interactive fantasy football app via Java in which users inputted various players into a
lineup and received an accurate prediction on players’ performance based off regression model.
Banking Classification Model September 2017- November 2017
૦ Modeled large sample of banking data to create classification model to determine which
customers may be eligible for various bank loans.