Hi, I'm
Ozge Zengin
Data Scientist
Data and technology-focused professional with experience across business intelligence, data science, machine learning, analytics, GenAI initiatives and digital transformation.
About Me
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I'm a Data Scientist currently working at ING in Frankfurt, specializing in GenAI pipelines, customer analytics and machine learning in regulated banking environments. With a solid foundation from Boğaziçi University in Management Information Systems and hands-on experience at global companies like Siemens and ING, I bridge the gap between complex data problems and actionable business insights.
My expertise spans end-to-end ML workflows — from feature engineering and model evaluation to production monitoring and governance documentation. I'm passionate about leveraging LLMs, cloud platforms like GCP, and advanced analytics to drive digital transformation and create measurable business value.
4+
Years of Experience
15+
Projects Delivered
10+
Dashboards Built
Experience
Nov 2025 – Present
Data Scientist — Analytics, GenAI Squad
ING-DiBa AG
Frankfurt am Main, Germany
- •Delivered an enterprise-grade Customer Complaints Analytics initiative by analyzing large-scale semi-structured complaint datasets and converting to structured insight layers.
- •Developed GenAI pipelines on Google Cloud Platform, integrating Gemini (Vertex AI) to generate high-quality summaries and enable consistent interpretation of complaint content.
- •Implemented and improved LLM-as-a-Judge evaluation logic, defining quality criteria and scoring methodology to benchmark summary strategies and guide GenAI adoption.
- •Collaborated cross-functionally to turn analytical outputs into actionable recommendations, selecting optimal trade-offs between LLM-based and classical analytical approaches.
Oct 2024 – Nov 2025
Data Scientist — Analytics, International Program
ING Technology A.Ş.
Istanbul, Turkey
- •Developed and refined propensity-style binary classification models in a regulated banking environment, enabling CRM targeting and campaign strategy.
- •Led end-to-end data preparation and feature engineering workflows, ensuring data quality, auditability and temporal robustness for model deployment.
- •Conducted structured benchmarking and selection of supervised classification models, translating outcomes into decision-ready artifacts for stakeholders.
- •Performed production model monitoring for existing propensity models by tracking stability and performance over time.
- •Produced and maintained risk/governance documentation (TMD/ISD) and supported UAT and model validation across global peer review.
Jun 2022 – Aug 2024
Business Excellence & Data Science — Working Student
Siemens AG
Istanbul, Turkey
- •Developed and maintained 10+ interactive Power BI dashboards as scalable self-service BI solutions for financial, forecasting, resource planning and operational reporting.
- •Owned BI requirements end-to-end by partnering with stakeholders to define KPIs, reporting logic and data definitions.
- •Built operational dashboards by digitalizing manual workflows into standardized reporting and alerting layers with threshold-based early-warning indicators.
- •Contributed to 5+ applied data science initiatives including similarity analysis, anomaly detection, forecasting and text-based signal extraction.
- •Built supervised ML and deep learning solutions using labeled data to deliver structured insights for communication and risk-related contexts.
Education
2018 – 2024
B.Sc. in Management Information Systems
Boğaziçi University
GPA: 3.35 / 4.00
Volunteering & Organizations
- Boğaziçi Jazz Choir — Member (2017 – 2024)
- AIESEC — Business Development Team Leader (2019 – 2021)
- Google Developer Students Club — AI & ML Team Leader
- COMPEC — Boğaziçi University IT Club
- TUKD — Turkish University Women's Association
Skills
Data Science & ML
GenAI & Cloud
Analytics & Visualization
Web Development
Governance & Documentation
Languages
Contact
I'm always open to new opportunities, collaborations, and interesting conversations. Feel free to reach out!
ozgezengin99@gmail.com
Location
Frankfurt am Main, Germany