DATA COLLECTION
Gather
Used Python scripts and SAP reports to collect production data with scheduled nightly and on-demand refreshes.
STUDENT WORKER · ANALYTICS & INSIGHTS
Hi, I'm Gyorkem — an Industrial Engineering master's student at DTU. I turn messy operational data into reliable reporting and practical insights using Python, SQL, SAP and Power BI.
At ASELSAN, I helped replace manual SAP reporting with an automated, validated data flow and a dashboard used from the shop floor to senior leadership.
Available Wednesdays & Thursdays · 15 hours/week · On-site in Billund
01 / WHAT I BRING
Experience that maps directly to the Analytics & Insights team's focus on collection, quality, insights and data adoption.
DATA COLLECTION
Used Python scripts and SAP reports to collect production data with scheduled nightly and on-demand refreshes.
DATA QUALITY
Automated data cleaning and validation, replacing repeated manual SAP exports and manual updates.
BUSINESS INSIGHTS
Built web-accessible Power BI monitoring for historical performance, current production status and planned activities.
DATA ACCESSIBILITY
Made reporting accessible to technicians, project managers and senior leaders, including sector-level management.
My next step: apply the same data-quality and stakeholder-focused approach to consumer sales data and commercial decision-making.
02 / SELECTED WORK
Three examples of collecting data, building analytical tools and making information more useful.
01ASELSAN · 2025–2026
Automated extraction, cleaning and validation of SAP production data, then surfaced the results in a web-accessible Power BI dashboard for two product groups.
02HAVELSAN · 2025
Developed a Python-based decision support system for resource allocation and transportation planning using mathematical optimization and heuristic methods.
03TURKISH AEROSPACE · 2023
Developed machine learning models using Bill of Materials data to predict assembly-line stoppages and support production planning decisions.
Project images are LEGO-inspired illustrations, not screenshots of internal company systems.
03 / BACKGROUND
Hands-on data work, operational decision support and collaboration across functions.
SEP 2025 — AUG 2026
Project Planning Engineer
Automated SAP data extraction, cleaning and validation using Python; developed web-accessible Power BI monitoring for two product groups and coordinated 100+ projects.
SEP 2026 — JUL 2028
M.Sc. Industrial Engineering & Management
Graduate studies in analytics, quantitative decision-making, and operations management.
JAN — APR 2025
Graduation Project Student
Developed a Python-based humanitarian logistics decision support system using MILP and ALNS for resource allocation and transportation planning.
SEP — DEC 2024
Product & Project Quality Engineer Intern
Consolidated company-wide KPIs for reporting to the COO and supported technical documentation and quality assurance processes.
JAN — APR 2024
RPA Developer Intern
Automated repetitive business workflows and created KPI dashboards for operational performance monitoring.
MAY — AUG 2023
Production Planning & Business Analyst Intern
Built machine learning models using Bill of Materials data to predict assembly line stoppages and automated scheduling and data collection.
SEP 2021 — JUL 2025
B.Sc. Industrial Engineering
Undergraduate foundation in statistics, data science, database management and operations research.
04 / SKILLS
Tools I have used, paired with the habits needed to make them valuable in a business team.
LET'S CONNECT
Interested in bringing reliable data and clear reporting to an international analytics team.
Copenhagen, Denmark · Available for on-site work in Billund