Data Visualization Front End

Jermaine Smikle

********.******@***.***

201-***-****

Github: github.com/jmaine123

Portfolio: https://jmaine123.github.io/Portfolio/

Linkedin: https://www.linkedin.com/in/jermaine-smikle/ Skills and Languages

HTML5, CSS3, JavaScript, jQuery, SASS, Python, Ruby, Sinatra, Ruby on Rails, Django, Lemon, Materialize, Animate.css, SQL, Github, postGres, JSON, Vue, React, Google App Script, R programming language, Beautiful Soup, Selenium, Web Scraping, Data Cleaning, Data Visualization and SQlite3

Web Development Projects

Make A Move

● I designed a full service stack application where users can find or sign up to be movers. The twist…this application offers users a choice of compensation ranging from money to free furniture or even points to be used towards sponsored products. A whole community right at your fingertips!

● Technologies Utilized: Ruby on Rails, Jquery, Geocoder, Sqlite3.

● https://jmaine123.github.io/Portfolio/

Movie Review App

● I designed a front end application where users can not only search movies but review them helping other users choose a movie or tv show that best suits them. Users can also view trailers for the top trending movies and tv shows for the week. As an added bonus users also have the option of saving a list of their favorite movies to share with others.

● Technologies Utilized: React, APIs, and React Hooks

● APIs: http://www.omdbapi.com/ and https://www.themoviedb.org/

● GitHub: https://github.com/jmaine123/moviereview

● Site: https://jmaine123.github.io/Media_Review_App/ Greatest of All Time

● I designed a website functioning as a blog site. Here users can post about their favorite athletes arguing why they should be considered the “Greatest of All Time.”

● Technologies Utilized: Sinatra, Sqlite3, ActiveRecord, JavaScript, HTML and CSS.

● Github: https://github.com/jmaine123/greatest_of_all_time Gatorade Durability Campaign Case Study

● As my final project for the Google Data Analytics Certification Course I completed a case study on the Analysis of the 2022-2023 NBA Season.

● I explored the top durable players both under 25 and over 25 who make a major contribution to their teams.

● I utilized the crucial Data Analysis steps involved to ensure accurate results including data cleaning, data visualization, and maintaining data integrity.

● I utilized R programming language in order to analyze data and make informed decisions.

● Technologies Utilized: R programming, tidyverse, ggplot2, and dplyr.

● Kaggle Case Study:

https://www.kaggle.com/code/jermainesmikle/gatorade-durability-campaign-case-study Experience

PriceManager 3/2019 – Current

Data Manager

● Use web scraping to track prices for clients’ relying on my understanding of advanced HTML, REGEX, and XPATH.

● Set up and manage client accounts.

● Programming and maintenance of templates used to webscrape client competitors relying on my knowledge and advanced understanding of APIs and JSON objects.

● Assign tasks for other departments to approve matching accuracy. As well as manage the matching process from start to finish.

● Apply my understanding of website structures and errors by maintaining a high volume of client accounts.

● Use Excel to Import and set up client files.

● Researching and updating client information using Vlookup, index match and other advanced Excel formulas.

● Data cleaning client files to ensure data is properly formatted and maintains its integrity.

● Creating code and forms to properly track and analyze the status of client accounts using Javascript and Google App Script.

Education

Google Data Analytics Professional Certification 2023 Data Analytics

New York Code + Design Academy New York, NY Certificate October 2018 Software Engineering

Montclair State University Montclair, NJ Bachelors in Marketing December 2012 Marketing

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