Abdallah Dalis Portfolio

About Me

I'm Abdallah Dalis, currently pursuing a BS in Mathematics and Computer Science with a Minor in Economics at UIC (grad. May 2025). With accolades including Dean's List and the J. Rex Toliver Distinguished Service award, my internships at Chicago Transit Authority and Duly Health and Care have honed my expertise in data analysis, machine learning, and predictive analytics. Explore my impactful projects in data engineering and advanced analytics on LinkedIn and GitHub.

UIC Organizations

Google Developer Student Club at UIC

Committee and Hackathon Member

Association of Machinery and Computing at UIC

Backend Lead

Experiences

My professional life's timeline... have fun!

Apple

Technical Specialist
September 2022 - April 2024

Engineered tailored technical support, assisting over 500+ clients monthly and maintaining a 95% customer satisfaction rate.
Assisted clients in maximizing utilization of Apple’s hardware and software on their devices.
Introduced new troubleshooting techniques and mentored 5 technicians, boosting team market standing by 15%.

Duly Health and Care

Data Scientist Intern
May 2023 - August 2023

Directed a 5-member, cross-functional team to develop a Fee Schedule Automation Tool and Geographic Clinic Assignment using Python, Excel, SQL, and Power BI, growing revenue opportunity detection and generation by 20% and operational efficiency by 25%.
Designed clinic data with a structured tree format, improving query efficiency by 30% and streamlining workflows in SQL Server.
Identified 150+ at-risk patients using predictive analytics, improving care management by 20% and reducing negative margins.
Implemented AI neural networks to analyze over 5,000 diagnosis codes and developed 100+ unit tests, reducing analysis time by 25%, bugs by 35%, and enhancing understanding of chronic conditions by 40%.

Headstarter AI

Software Engineer Fellow
July 2024 - September 2024

Built 5+ Al apps and APIs using NextJS, OpenAl, Pinecone, StripeAPI, and AWS, strengthening artificial intelligence models.
Initiated end-to end projects, design to deployment, leading 4+ engineers and product managers using MVC design patterns.
Received mentorship from engineers at Amazon, Bloomberg and Capital One on Agile methodologies, Cl/CD, Git, and microservice patterns.
Engineered a machine learning (ML) Large Language Model in Unity with C#, boosting business engagement by 40% and accuracy by 25%.

Chicago Transit Authority

Data Analyst Intern
May 2024 - Present

Refined Ventra revenue reconciliation accuracy by 20% through the development and implementation of advanced data analysis and algorithms, leveraging Oracle and Microsoft Access for database administration.
Reduced manual processing time by 25% and increased reporting accuracy by 15% by automating financial forecasting and data modeling using data mining, pattern recognition, VBA, and Excel Macros, leveraging real-time market data from Bloomberg Terminal.
Delivered a predictive Quarterly Investment Report using PowerPoint and Power BI, boosting investment performance by 10%.