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Thomas Cornett
Rochester, United States
Experienced Retail Associate with an extensive history of working in the retail industry. Skilled in Customer Support, Customer Service, Sales, Stock Replenishment, and Customer Satisfaction. Recently graduated from Flatiron Schools Data Science course. Extensive theoretical background in the IT sector, with a high school education in Information Technology and course work completed towards getting an associates of science degree in Information Security and a Computer programming certificate.
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93.4
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Developer
United States
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Kivy
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United States
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Python
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List your work history, including any contracts or internships
VP Supply Corp Full-time
Mar 2020 - Aug 2021 (1 year 5 months)
Order Picker
Taught new employee’s the procedures that we go through daily to achieve our goals. Increased sales by assisting customers with purchasing products while using suggestive and up-selling strategies. Maintain warehouse cleanliness based on sound practices.
Amazon Part-time
10 months
Sortation Associate
Oct 2019 - Mar 2020 (5 months)
Made sure packages were accurately given to the correct drivers for fast deliveries.
Maintained warehouse cleanliness by following best cleaning practices.
Assisted managers in correcting errors in system from packages
Maintained warehouse cleanliness by following best cleaning practices.
Assisted managers in correcting errors in system from packages
Package Handler
Mar 2018 - Aug 2018 (5 months)
I make sure that the work environment is safe and clean as per OSHA regulations. I unloaded the products from the truck and staged the sorting area, as well as loaded trucks with empty pallets and returns. When it came time to sort I would work the freight line or assist the shift assistant on duty with problem solving or troubleshooting of the computers. When needed I would also assist with the debriefing of the drivers to make sure everything went smoothly with the products going out the door.
Citi Full-time
Jan 2019 - Oct 2019 (9 months)
Data Entry Clerk
Accurately input information from one system to another.
Spot checked other employees to ensure accuracy of information.
Spot checked other employees to ensure accuracy of information.
Add some compelling projects here to demonstrate your experience
Movie Lens Recommender
Flatiron Scools
Using a collaborative recommendation system, gives the user movies based on ratings on a list of random movies.
• Conducted statistical analysis on the Movie Lens dataset to determine trends.
• Feature Engineering to get more information based on genres.
• Corrected cold start problem by implementing a beginners rating scale for base testing.
• Conducted statistical analysis on the Movie Lens dataset to determine trends.
• Feature Engineering to get more information based on genres.
• Corrected cold start problem by implementing a beginners rating scale for base testing.
Instacart Market basket Analysis
Flatiron School
Using historical data from over 200,000 users and 4 -100 orders from each user to give recommendations on grocery products.
• Built front-end and back-end application in python with Kivy and KivyMD using Google’s material design templates for application development.
• Implemented a grocery list maker with the FDA’s food database for more accurate food cataloging.
• Built a recommendation system that uses a rule-based recommender to penalize overly saturated purchases.
• Built front-end and back-end application in python with Kivy and KivyMD using Google’s material design templates for application development.
• Implemented a grocery list maker with the FDA’s food database for more accurate food cataloging.
• Built a recommendation system that uses a rule-based recommender to penalize overly saturated purchases.
King County Housing Regression
Flatiron School
Predict housing prices for income brackets in with recommendations to help everyone get the most value for their money.
• Utilizes web scraping to get housing, grocery stores, schools, and restaurants with historical data of the area provided by Flatiron School and compiled with ArcGIS library.
• Statsmodel regression models to get our OLS best fit in the project with a P-value cutoff of .05
• Working with the ArcGIS framework, built an interactive map as a visual representation of the data to show the different point of interests around the houses to help explain the price choices.
• Utilizes web scraping to get housing, grocery stores, schools, and restaurants with historical data of the area provided by Flatiron School and compiled with ArcGIS library.
• Statsmodel regression models to get our OLS best fit in the project with a P-value cutoff of .05
• Working with the ArcGIS framework, built an interactive map as a visual representation of the data to show the different point of interests around the houses to help explain the price choices.
This section lets you add any degrees or diplomas you have earned.
Flatiron School
Data science
Jan 2020 - Jan 2021
Nature Coast High School
High School, Information Technology
Jan 2009 - Jan 2013
Pasco Hernando State College
Associates of Science, Information Security
Mar 2013 - Sep 2016
Classes completed towards a Information Security and Computer Programmer Associates Degree
Apache Spark Essential Training
Apr 2021
PC Pro
Jan 2013