My Work
4 years, 3 companies,
countless pipelines.
Transcriptome-Based Machine Learning Models to Predict Antimicrobial Resistance in Pseudomonas aeruginosa ↗
Developed transcriptome-based machine learning models achieving up to 98.8% accuracy across four antibiotics using gene expression data from 414 clinical isolates.
Data Engineer @ Eczacıbaşı Sanipak
Leading data engineering operations during an enterprise carve-out following a company acquisition, alongside managing enterprise data infrastructure and pipeline automation.
- Leading the end-to-end data migration and transition process for the company carve-out, migrating all data tools, pipelines, and workflows to the target infrastructure.
- Designed and implemented Azure DevOps CI/CD pipelines for Apache Airflow using self-hosted agent pools.
- Led the migration of DAGs from Airflow 2.10 to Airflow 3.1 with minimal downtime and high reliability.
- Contributed to company-wide Data Governance by defining business glossaries and standardized business terms with stakeholders.
- Participated in a SAP greenfield implementation project focusing on master data management and data consistency.
- Developed data quality frameworks (freshness checks, row count validation, duplication detection, null ratio analysis, business rules).
Data Engineer @ Penta Teknoloji — Yıldız Holding
Developed and maintained data pipelines for large-scale enterprise use cases across on-prem and cloud platforms, enabling real-time analytics and optimized decision-making.
- Collaborated with Autodesk Product Group to deliver a real-time analytics solution contributing to a 1% increase in net income.
- Built and maintained complex, business-rule-driven data pipelines for the MSI Sales Team.
- Designed ETL/ELT pipelines across on-prem (SSIS, Airflow) and Azure/Fabric cloud environments with high availability.
Data Analyst @ Penta Teknoloji — Yıldız Holding
Delivered analytics and BI solutions across multiple business domains, enabling data-driven decision-making through secure and well-modeled reporting layers.
- Developed end-to-end Power BI dashboards across finance, risk, marketing, sales, logistics, inventory, and business development.
- Implemented row-level security (RLS) policies to ensure controlled and role-based data access.
Data Science Intern (Erasmus+) @ Leibniz Institute on Aging (FLI)
Research-focused internship in AI in Microbiome and Aging Research Group, combining transcriptomics data analysis with modern machine learning architectures.
- Conducted literature reviews on transcriptomics datasets related to aging and sepsis to understand microbial content in blood.
- Presented advanced machine learning methods (Liquid Neural Networks, Autoencoders) during journal club sessions.