Data Scientist and ML practitioner with a strong portfolio spanning customer behavior analysis, sales forecasting, predictive modeling, and financial market analysis — bridging engineering precision with legal insight through the power of data.
I'm a multidisciplinary professional with degrees in Aerospace Engineering (İTÜ), Mechanical Engineering (Yıldız Technical University), and Law (Marmara University). This rare combination allows me to approach complex problems from both technical and legal perspectives.
My passion lies in using Data Science as the bridge between these worlds — building end-to-end ML pipelines, multi-horizon financial analyses, and data-driven products that span across industries. Certified by IBM, Microsoft, Google, UC Davis, and Wharton.
Combining deep technical knowledge with strategic thinking to deliver exceptional results across multiple domains.
End-to-end ML pipelines spanning classification, regression, clustering, and time series — applied to real-world customer, sales, and financial datasets.
Multi-horizon investment analysis across global and Turkish markets — CAGR, Sharpe Ratio, Max Drawdown, and real returns via Fisher equation.
KVKK compliance consulting and regulatory document authoring — applying legal reasoning to data environments for a rare edge in B2B data science.
A diverse toolkit spanning Python, SQL, BI platforms, ML frameworks, and legal research — with certified expertise from IBM, Microsoft, Google, UC Davis, and Wharton.
Certified by world-leading institutions across data science, AI, business intelligence, and legal technology.
Open to remote data science roles, freelance analytical projects, and research collaborations. I respond within 24 hours.