SELECT * FROM OsmanOrka WHERE expertise IN ('SQL', 'Python', 'Excel', 'PowerBI', 'Tableau', 'Machine Learning', 'Cloud Data', 'ETL Pipeline');
osman_skills = ['SQL', 'Python', 'Excel', 'PowerBI', 'Tableau', 'Machine Learning', 'Cloud Data', 'ETL Pipeline']; print("Impact: +25% revenue, +35% efficiency")
=IF(AND(OSMAN.PROJECTS>=4, OSMAN.IMPACT>=0.25), "Hire Immediately", "Interview Now")
const skills = ['SQL','Python','Excel','PowerBI','Tableau','ML','Cloud','ETL']; const shortlisted = projects.filter(p => p.impact >= 5000000).length;

Osman Orka

Data Analyst | Data Science Projects & Machine Learning

Passionate Data Analyst with engineering mindset, transforming complex datasets into strategic business solutions across energy markets, operational intelligence, and business analytics. Proven track record of delivering 25% revenue growth through predictive modeling and 35% operational efficiency gains via data-driven optimization.

View My Work Download Resume
Big Data
ML Models
Analytics
Insights
Data Science

About Me

About Me

I'm a results-driven Data Analyst / Scientist passionate about building robust ETL pipelines, predictive models, and cloud-based analytics systems to transform raw data into business insights. Skilled in SQL, Python, Excel, PowerBI, Tableau, and cloud platforms, I've delivered measurable impact (e.g. optimized forecasts, boosted efficiency). Always curious, I continuously explore emerging methods to solve real-world problems.

🎯 Recent Impact & Achievements

Energy Trading Operations: Developed automated forecasting platform that reduced manual analysis from 8-10 hours/week to 30 minutes, enabling $500K-$5M annual profit optimization for 500MW+ portfolios through predictive hedging strategies.
Sports Performance Analytics: Built data-driven transfer strategy for Manchester City Women that projects +8.5 league points improvement and 47% better ROI efficiency from £2.5M budget allocation.
Business Expansion Strategy: Analyzed 3,181 US counties for expansion opportunities, creating automated ranking system that identified 314 Tier-A markets with 4.9% average establishment growth potential.

💡 My Approach

My approach is simple:

1
Collect & pipeline data ETL / ingestion
2
Clean & structure it Data preparation & quality
3
Build predictive models or dashboards Analytics & visualization
4
Deliver action: insights + automation Business impact & scalability

I combine technical rigor (SQL, Python, Cloud) with business sense to create data solutions that aren't just "cool" — but usable, scalable, and impactful.

🔧 Core Specializations

Web Scraping & Data Collection - Business and market analytics Predictive Modeling - ML algorithms for business optimization Statistical Forecasting - Time series analysis & demand prediction Dashboard Development - Executive reporting & KPI tracking

🎓 Education & Certifications

Advanced Diploma of Computer Science and Development

Coder Academy Australia

Focus: Advanced Programming, Software Development, Data Systems
Bachelor's Degree in Mechanical Engineering

Kocaeli University

Foundation: Engineering Analytics, Mathematical Modeling, Problem Solving
IBM Professional Data Science Certificate

Coursera

Specialization: Machine Learning, Python, Data Visualization
Google Professional Data Analyst Certificate

Coursera

Skills: Advanced Analytics, Business Intelligence, Statistical Analysis

Ready 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!

4+

Projects Completed

£5M+

Business Value Generated

95%+

Model Accuracy Achieved

🔄 Loading projects from database...

Technical Skills

Programming Languages

Python SQL JavaScript

Data Science & ML

Machine Learning Statistical Modeling Time Series Analysis Predictive Analytics Web Scraping

Tools & Platforms

Power BI Tableau Excel Streamlit

Libraries & Frameworks

Pandas NumPy Scikit-learn Plotly

Get In Touch

Let's Connect

I'm always interested in discussing data science opportunities, collaborating on projects, or simply connecting with fellow data enthusiasts.