Sulemaan Farooq

NYC · (917) 456-5697 · shf46@rutgers.edu
Rutgers University Ford Motor Verizon

Computer science and data science @Rutgers University
Data science intern @Verizon
Software engineer intern @Ford Motor
Software engineer intern @answeringservicecare
Data engineer intern @AlphaROC (founded by Chief Data Scientist: Point 72, GIC, Neuberger Berman )


Work Experience

Verizon - Data Science Intern

Bedminster, NJ

Aug 2023 – Dec 2023
● Streamlined a python-tkinter data science desktop app to automate report generation saving 25 hours a week
● Leveraged Google Apps Script in google sheets to automate 5G bandwidth upgrade tracker for 100,000 cell sites
● Developed a one-stop guide web app for 500 Verizon engineers reducing repeated inquiries by 80%

Aug 2023 – Dec 2023

Ford Motor - Software Engineer Intern

Dearborn, MI

May 2023 – Aug 2023
● Engineered fullstack Java Spring Boot API and UI button that merges Ford credit risk policies in 2 seconds
● Deployed software updates for the Ford Global Lending Analysis System App (GLAS) through Jenkins, establishing a version control system leading to 80% reduction in production server breakdowns
● Incorporated Ford Language Model (LLM) to develop Terraform code to provision GLAS resources on GCP

May 2023 – Aug 2023

Answering Service Care - Software Engineer Intern

Margate, FL

Sep 2022 – Dec 2022
● Fixed a bug that determines if a credit card is Amex, Visa or Master leading to 100% correct Paypal transactions
● Prepared a predictive data model for sudden CPU spikes in containers and virtual machines reducing cloud costs by 25%
● Accelerated DevOps with Datadog monitors that send alerts to the team slack channel if Amazon EC2 hosts count exceeds 12, and if cluster CPU utilization exceeds 70%, saving $4000 per month

Sep 2022 – Dec 2022

AlphaROC - Data Engineer Intern

Summit, NJ

May 2022 – Aug 2022
● Spearheaded the development of firm website leading to 30% more sales (link)
● Connected a Django database to Amazon Simple Storage Service (Amazon S3) for data backup and recovery
● Engineered a data science model that predicts 8000 emails in 5 minutes with 95% accuracy in the CRM of 50,000 rows

May 2022 – Aug 2022

Education

Rutgers University

Bachelor of Science
Major in Computer Science and Minor in Data Science

GPA: 3.5

January 2021 - May 2024

The Cambridge School Doha, Qatar

Holiday Villa Taleb Topper
IGCSE: 5A* and 3A
AS Level: 4A
September 2010 - December 2020

Skills

Programming Languages & Tools

● Spoken Languages: English, Arabic, Urdu
● Languages: R, Java, Python, C, HTML, CSS, JavaScript, React, Ruby
● Technologies: Linux, Git, MYSQL, SQLite, NoSQL, AWS, Django, Flask, Spring Boot Pythonanywhere, Heroku, GCP

Workflow
  • Agile Development & Scrum
  • Cross Functional Teams
  • Diversity and Inclusion
  • Leadership

Projects

Artificial Intelligence Resume App

(Python Django, GCP, OpenAI API, SQL, HTML, CSS, JavaScript)

Devised a Django app where user entered data is prompted to ChatGBT using OpenAI API to generate 20+ resume points
Evaluated top 12 resume points from 20+ using sentiment analysis and natural language processing and generated a document using GCP Google Doc API in less than 30 seconds (link)

Website Automation AI App

(Python Django, Github, Bootstrap)

Invented a Django app where user entered data generates a personal website with QR code in 3 seconds
Integrated with github pages for automated deployments, optimizing user experience by 100% (link)

Algorithmic Trading Bot

(Python Flask, HTML, CSS, JavaScript, IEX API, SQL)

Orchestrated Python app in the Flask framework that allows users to buy and sell 2500 different stocks
Leveraged IEX API so stock prices are updated in real time saving traders traders hundreds of hours per week (link)

Personality Survey App

(Python, Django, SQL, PayPal API, HTML, CSS, JavaScript)

Created a Django app where a 60 question survey is used to generate free and paid personalized personality reports with custom links for affiliate marketing integrated with coupon codes and PayPal payments leading to 100% monetization
Revamped app from AWS to PythonAnywhere resulting in saving $22 per month in cloud hosting costs (link)

Machine learning - Handwritten digits

(Python, Pandas, Numpy)

Unsupervised k-means clustering to convert 100000 handwritten numbers to text digits with 0.1 error
Designed k-means with: random centers; k-means plus centers; and matrix forms with loss function for evaluation


Awards & Certifications

  • The Cambridge School Holiday Villa Taleb IGCSE topper award
  • Rutgers School of Arts and Sciences Excellece Award
  • Model United Nations Honorable Mention