Resume
Education
University of Massachusetts Amherst May 2020
College of Information and Computer Sciences, Data Science Informatics GPA: 3.16
Relevant Courses: Reasoning Under Uncertainty (Python), Programming in Data Structures (Java), Stats 501 (R), Marketing 301, App. of Data Management (SQL), Data Mining Business (XLMiner)
Work Experience
WalkThru, NJ | Intern Summer 2018
- Constructed front-end development with languages such as HTML, CSS, and Javascript/jQuery for the company�s webpages
- Utilized front-end framework such as Bootstrap 4 and Bootstrap Tour for webpages to feel professional and light-weight
Personal Projects
Canadian Women�s National Rugby | 5 College Datafest Spring 2019
- Programmed a multi-linear regression in RStudio on what predictors like different variables of health wellness, training, etc. have an effect on fatigue levels, employed libraries like dplyr, tidyverse, TTR, & ggplot2
- Analyzed that sleep quality, desire levels, recovery & game training were the most significant variables, but only sleep quality and desire levels affected fatigue positively
MLB All-Stars
- Trained logistic regression model in XLMiner to predict who would be an All-Star out of all the position players during a year in the Steroid era
- Extracted batting stats and All-Star datasets about position players from a database on SeanL------------, then data cleaned and merged the 2 datasets using Ablebits extension
- Performed another logistic regression model by taking the subset and removing some variables to further better model and improved the accuracy up to 85%
Facebook Facial Recognition | HackUMass Fall 2018
- Generated an Android application in a team of 4 students that parses each picture in a person�s facebook friends list and compares that a picture taken in the app
- Applied the use of WebCrawler, cache, and Javascript to support the app
Academic Projects
Best Youtube Video
- Compared US and Canada Youtube data in Tableau to see which videos and genres dominate in each country by views, likes, etc.
- Resulted in finding that users in US and Canada have different preferences as some youtubers, videos, genres, etc. were more popular than others
Campus Involvement
UMass Recreation, Amherst, MA | Volleyball Official Sept. 2016 - Nov. 2018
- Gained leadership exp. by being responsible for reffing volleyball games of 12+ participants
Skills
Programming Languages: Java, Javascript, Android, Python, HTML, CSS, C, R, SQL
Computer Skills: jQuery, Bootstrap 4, Bootstrap Tour, MS Access, Salesforce, Node.js, Ubuntu (Linux), Github, Git, XLMiner, BitBucket, Tableau, SAP, RStudio, SourceTree
Education
University of Massachusetts Amherst May 2020
College of Information and Computer Sciences, Data Science Informatics GPA: 3.16
Relevant Courses: Reasoning Under Uncertainty (Python), Programming in Data Structures (Java), Stats 501 (R), Marketing 301, App. of Data Management (SQL), Data Mining Business (XLMiner)
Work Experience
WalkThru, NJ | Intern Summer 2018
- Constructed front-end development with languages such as HTML, CSS, and Javascript/jQuery for the company�s webpages
- Utilized front-end framework such as Bootstrap 4 and Bootstrap Tour for webpages to feel professional and light-weight
Personal Projects
Canadian Women�s National Rugby | 5 College Datafest Spring 2019
- Programmed a multi-linear regression in RStudio on what predictors like different variables of health wellness, training, etc. have an effect on fatigue levels, employed libraries like dplyr, tidyverse, TTR, & ggplot2
- Analyzed that sleep quality, desire levels, recovery & game training were the most significant variables, but only sleep quality and desire levels affected fatigue positively
MLB All-Stars
- Trained logistic regression model in XLMiner to predict who would be an All-Star out of all the position players during a year in the Steroid era
- Extracted batting stats and All-Star datasets about position players from a database on SeanL------------, then data cleaned and merged the 2 datasets using Ablebits extension
- Performed another logistic regression model by taking the subset and removing some variables to further better model and improved the accuracy up to 85%
Facebook Facial Recognition | HackUMass Fall 2018
- Generated an Android application in a team of 4 students that parses each picture in a person�s facebook friends list and compares that a picture taken in the app
- Applied the use of WebCrawler, cache, and Javascript to support the app
Academic Projects
Best Youtube Video
- Compared US and Canada Youtube data in Tableau to see which videos and genres dominate in each country by views, likes, etc.
- Resulted in finding that users in US and Canada have different preferences as some youtubers, videos, genres, etc. were more popular than others
Campus Involvement
UMass Recreation, Amherst, MA | Volleyball Official Sept. 2016 - Nov. 2018
- Gained leadership exp. by being responsible for reffing volleyball games of 12+ participants
Skills
Programming Languages: Java, Javascript, Android, Python, HTML, CSS, C, R, SQL
Computer Skills: jQuery, Bootstrap 4, Bootstrap Tour, MS Access, Salesforce, Node.js, Ubuntu (Linux), Github, Git, XLMiner, BitBucket, Tableau, SAP, RStudio, SourceTree