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Doğukan Argüç

@doukanarg

Data products project leader at Philip Morris International who built production pipelines and dashboards used by 180+ stakeholders.

Turkey
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At Philip Morris International, I build and operate production data pipelines with Python and Prefect, and develop data products used by cross-functional teams. My work spans ingestion, transformation, and reporting, including Power BI models and dashboards.

I developed extraction and transformation workflows that replaced manual data preparation, and built a KPI measurement system for 200+ project leaders. I also created automated artwork quality checks and a barcode-price validation pipeline.

For my TÜBİTAK 2209A Image Processing Thesis, I built an object detection and tracking pipeline, then deployed the selected model in a real-time camera inference workflow using Python and OpenCV. I’m also working on an end-to-end analytics engineering project using dbt and DuckDB.

Experience

Work history, roles, and key accomplishments

Philip Morris International logoPI
Current

Project Leader & Data Products

Dec 2023 - Present (2 years 11 months)

Built and operated 10 scheduled production pipelines across 15 projects, orchestrating DAG-style task dependencies with automated retries, failure alerting, and parameterized reruns. Developed Playwright-based data extraction pipelines ingesting 150,000+ rows from 5+ source systems, and designed data transformation workflows using Pandas and PySpark.

Philip Morris International logoPI

Project Intern

Jul 2023 - Dec 2023 (5 months)

Completed a project internship at Philip Morris International.

CR

System and Network Unit, Intern

Creentech

Jul 2022 - Aug 2022 (1 month)

Completed a summer internship focused on Linux systems, virtualization, and cloud infrastructure.

Education

Degrees, certifications, and relevant coursework

Ege University logoEU

Ege University

Bachelor of Science, Computer Engineering

Completed a degree in Computer Engineering at Ege University in 2023.

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