Results-driven Data Analyst with expertise in predictive analytics, automation, and business intelligence. Proven track record of delivering 35% efficiency gains and $500K–$5M profit optimization through data-driven solutions in operations, forecasting, and performance analytics. Expert in Python, SQL, Power BI, and machine learning with 95%+ forecast accuracy achievements.
I'm a results-driven Data Analyst / Scientist passionate about building scalable ETL pipelines, API integrations, and AI-powered analytics systems that transform raw data into actionable insights. Skilled in SQL, Python, Power BI, Tableau, and cloud platforms (Azure, AWS), with growing expertise in AI engineering, generative AI tools, and workflow automation. I design and operationalize data pipelines that enhance decision-making, predictive modeling, and insight generation across organizations. Always curious, I continuously explore how LLMs and automation can accelerate data democratization and business impact.
My approach is simple:
I combine technical rigor (SQL, Python, Cloud) with business sense to create data solutions that aren't just "cool" — but usable, scalable, and impactful.
Coder Academy Australia
Focus: Advanced Programming, Software Development, Data SystemsKocaeli University, Turkey
Foundation: Data Modeling, Statistical Analysis, Operations Optimization, Quantitative Decision-MakingIBM (Dec 2024 - Mar 2025)
Specialization: Machine Learning, Python, Data VisualizationGoogle (Sep 2024 - Apr 2025)
Skills: Advanced Analytics, Business Intelligence, Statistical AnalysisMicrosoft Azure
Cloud: Azure Data Fundamentals, Data Services, AnalyticsReady to leverage multidisciplinary analytical approach and proven business impact to drive data-driven decision making in dynamic, growth-oriented environment. Let's connect and explore how strategic analytics can transform your business outcomes!
Projects Completed
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Model Accuracy Achieved
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I'm always interested in discussing data science opportunities, collaborating on projects, or simply connecting with fellow data enthusiasts.