Web Developer Data

Nicholas Ciambrone

*** ******* ** *******, ** 201-***-**** *****@***********.*******.***

EDUCATION

Rutgers Business School New Brunswick, NJ

BS in Business Analytics & Information Technology May 2020 Concentration in Global Business

GPA: 3.425 / 4.0 Major GPA: 3.9/ 4.0

Honors: Dean’s List (Spring 2017) (Spring 2018) (Spring 2019) (Fall 2019) WORK & LEADERSHIP EXPERIENCE

IQVIA Parsippany, NJ

Data Research Intern September 2019 – December 2019

• Wrote SQL queries to extract Rx sales data of high-profile therapeutic product launches in order to monitor and analyze data trends in Excel

• Automated the process of evaluating the supply and demand data for key drugs using VBA

• Cleansed raw data with Excel functions and generated pivot tables for analysts to evaluate

• Analyzed time series models against sales data to determine if a data investigation was necessary Afito New Brunswick, NJ

Developer/ Analyst August 2018 – September 2019

• Developed the administration interface using CSS, ReactJS, & HTML to enable the user to input photos and pricing into the sites database

• Scraped images and rental information from the internet and into the website's database for over 1500 properties through Zillow, Google Maps, and proprietary websites

• Evaluated trends in data to predict which universities would have the highest volume of Google searches for off campus housing to ensure that the data was input in a timely manner

• Developed a software to enable the CEO to collect user feedback Rutgers Coding Bootcamp Somerset, NJ

Web Developer June 2018 - September 2018

• Learned Full Stack Web Development in a full time twelve-week boot camp

• Worked as both an individual and as a team member to develop web applications, master fundamental computer science algorithms, and understand the technology industry

• Strengthened presentation skills by attending the networking events and presenting my applications to various technology companies

PROJECTS

Machine Learning Loan Classifier

Using Python’s Sci-Kit Learn and RandomForestClassifier module, I built a model that predicts if a loan applicant will pay back their loan in full based on factors such as fico score, policy, interest rate. I then tested the model on a separate dataset and achieved an 81% success rate. Pigeon

Developed a web app for Afito.com with ReactJS and MongoDB that allows the user to send out email surveys to customers and analyze their feedback

HotelDB

As a final project for Business Data Management, I created a database for a hotel with MySql and wrote Python logic to allow the user to query the database using an HTML form github.com/nickciambrone

Contact this candidate