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Alex IacobAI
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Alex Iacob

@alexiacob

Business Data Analyst specializing in Python ETL, analytics, and API-driven insights.

United States
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What I'm looking for

I’m looking for a role where I can build Python ETL pipelines, ship API-driven workflows, and turn data into clear reports for stakeholders—while continuing to grow in engineering rigor (testing, architecture, and performance).

I’m a Business Data Analyst with a Computer Science background from Rochester Institute of Technology. I build reliable data pipelines, turn messy inputs into structured outputs, and deliver insights that teams can act on quickly.

In my current role at Al Ain Global Trading S.R.L, I built Python ETL pipelines using pandas to process alcohol import data, identifying over 18,000 companies. I also automated data enrichment workflows to collect structured company data, reducing manual research time by 40%, and used API-driven workflows and ChatGPT to personalize outreach—improving response rates by 20%.

Earlier, as a Research and Development Intern at Relay Response, I developed REST APIs and backend services using NodeJS for cloud-based medical data systems, and built/deployed mobile applications using Firebase—improving response efficiency by 23%. I’ve also completed a Software Engineering Internship at Discovery Machine Inc., where I built an export pipeline to Excel that cut manual processing time by 90% and improved a multithreaded architecture’s efficiency by up to 75%.

Experience

Work history, roles, and key accomplishments

AS
Current

Business Data Analyst

Al Ain Global Trading S.R.L

Jan 2025 - Present (1 year 5 months)

Built Python ETL pipelines using pandas to process alcohol import data, identifying 18,000+ companies. Automated data enrichment workflows to cut manual research time by 40%, and improved international client outreach response rates by 20% using API-driven workflows and ChatGPT-assisted personalization.

RR

Research and Development Intern

Relay Response

Oct 2023 - Mar 2024 (5 months)

Developed REST APIs and backend services using Node.js for cloud-based medical data systems. Built and deployed mobile applications with Firebase, improving response efficiency by 23%, and reduced onboarding time by 40% by authoring technical documentation and supporting testing.

DI

Software Engineering Intern

Discovery Machine Inc.

Jan 2022 - Aug 2022 (7 months)

Built a database-to-Excel data export pipeline that reduced manual processing time by 90%. Redesigned a multithreaded architecture to improve system efficiency up to 75%, implemented decision-tree models for combat training simulations, and improved reliability with JUnit unit and integration testing.

Education

Degrees, certifications, and relevant coursework

Rochester Institute of Technology logoRT

Rochester Institute of Technology

Bachelor of Science in Computer Science, Computer Science

2019 - 2024

Grade: 3.55/4.00

Bachelor of Science in Computer Science at Rochester Institute of Technology (Aug 2019–May 2024), GPA 3.55/4.00.

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