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Hi, I’m Arda Deniz Eryigit. I am a data-driven engineer with a MSc in Data Analytics from Queen’s University Belfast and a background in Computer Engineering. I enjoy turning messy data into actionable insights using Python, SQL, and machine learning. I’ve built dashboards, data pipelines, and predictive models in industry settings, including at Xiaomi and FP McCann. I’m focused on scalable analytics, cross-functional collaboration, and communicating complex results to non-technical stakeholders.…Hi, I’m Arda Deniz Eryigit. I am a data-driven engineer with a MSc in Data Analytics from Queen’s University Belfast and a background in Computer Engineering. I enjoy turning messy data into actionable insights using Python, SQL, and machine learning. I’ve built dashboards, data pipelines, and predictive models in industry settings, including at Xiaomi and FP McCann. I’m focused on scalable analytics, cross-functional collaboration, and communicating complex results to non-technical stakeholders.

Arda Deniz Eryigit

Data Scientist, Data Analyst, Full Stack Developer, +2

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Hi, I’m Arda Deniz Eryigit. I am a data-driven engineer with a MSc in Data Analytics from Queen’s University Belfast and a background in Computer Engineering. I enjoy turning messy data into actionable insights using Python, SQL, and machine learning. I’ve built dashboards, data pipelines, and predictive models in industry settings, including at Xiaomi and FP McCann. I’m focused on scalable analytics, cross-functional collaboration, and communicating complex results to non-technical stakeholders.…Hi, I’m Arda Deniz Eryigit. I am a data-driven engineer with a MSc in Data Analytics from Queen’s University Belfast and a background in Computer Engineering. I enjoy turning messy data into actionable insights using Python, SQL, and machine learning. I’ve built dashboards, data pipelines, and predictive models in industry settings, including at Xiaomi and FP McCann. I’m focused on scalable analytics, cross-functional collaboration, and communicating complex results to non-technical stakeholders.

Available to hire

Hi, I’m Arda Deniz Eryigit. I am a data-driven engineer with a MSc in Data Analytics from Queen’s University Belfast and a background in Computer Engineering. I enjoy turning messy data into actionable insights using Python, SQL, and machine learning.

I’ve built dashboards, data pipelines, and predictive models in industry settings, including at Xiaomi and FP McCann. I’m focused on scalable analytics, cross-functional collaboration, and communicating complex results to non-technical stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Turkish

Fluent

English

Fluent

German

Beginner

Work Experience

Data Science Intern at FP McCann Ltd

June 1, 2025 - September 1, 2025

Developing predictive maintenance models using energy sensor data from industrial machinery. Implementing anomaly detection and clustering algorithms for operational insights. Building real-time dashboards in Python and PostgreSQL for monitoring and analysis.

Data Analyst - Operation Supervisor at Xiaomi Technology

March 1, 2024 - March 1, 2025

Analyzed retail performance and product penetration across 300+ stores; improved data accuracy and automated updates by managing and optimizing Retail Management System workflows. Prepared technical briefs, dashboards, and presentations for non-technical stakeholders to support decision-making. Created automated reports in Power BI and Python, improving decision-making with visualized KPIs.

Data Analyst Long Term Intern at Paycell / Turkcell

November 1, 2022 - November 1, 2023

Developed a Python (Streamlit) based analytics platform enabling users to upload data and perform regression, classification, and clustering interactively. Contributed to ETL workflows and DWH operations using SQL and SmartODI, ensuring timely reporting pipelines.

Cloud Engineering Intern at Turkcell Communications Services

September 1, 2022 - November 1, 2022

Containerized tools with Docker and assisted orchestration, improving deployment consistency.