Highly analytical Data Scientist with a robust foundation in Mathematics and Statistics, backed by over 10 years of experience in education. Holds an M.Sc. in Statistics, with a thesis focused on predictive modeling and advanced analytics.

My professional journey is defined by a passion for transforming complex, unstructured data into actionable business intelligence through automation and machine learning.

• Languages & Core: Python (Pandas, NumPy, SciPy), SQL, R
• AI & NLP: LLMs, RAG Pipelines, Agent, Langchain, NLP (NER), Model Evaluation
• Data Engineering: Web Scraping (Scrapy, Selenium, BeautifulSoup), Automated Pipelines, REST APIs, Supabase, MongoDB, PostgreSQL
• BI & Visualization: Power BI, Tableau, Looker Studio, Matplotlib, Seaborn
• Cloud & DevOps: AWS (Lambda, S3, EC2), GCP, Dokploy, Docker, FastAPI, Streamlit, Gradio

• Data Science: Specialized in building agentic workflows (Tagger, Extractor, Consolidator) and fine-tuning models for niche sectors like energy and clinical data.
• Automation: Expert in developing end-to-end automation systems, including large-scale data extraction and automated content management via WordPress REST APIs.
• Academic Focus: Completed M.Sc. thesis research on the comparative performance of 16+ machine learning models for advanced text classification.

• 🎓 M.Sc. in Statistics | Giresun University
• 🎓 B.Sc. in Mathematics Education | Atatürk University
• 🏫 10+ Years of Experience in Mathematics & Pedagogical Leadership

M.Sc. Thesis: Modeling of Data Obtained by Web Scraping Using Machine Learning Methods and Performance Comparison

Benchmarked 16 machine learning models (Transformers, RNNs, and traditional ML) on a 20K-article web-scraped maritime news dataset for multi-class business-event classification. BART achieved the best F1 Score (0.7955) among all models.

• Creator | AI PR Reviewer (Jul 2026 – Present)

  • Designed and shipped a free, bring-your-own-key GitHub App that automatically reviews every pull request for bugs, security issues, and performance problems — running entirely on GitHub Actions and costing $0 to operate, since it calls OpenRouter's free LLM models with each user's own key instead of a metered backend. Built the full pipeline solo: GitHub App auth, a Cloudflare Workers setup dashboard with a live free-model picker, encrypted secret provisioning, and automatic model fallback for rate-limited requests. Install it →

• Data Scientist | John Snow Labs (Dec 2025 – Present)

  • Focused on clinical data curation and building automated pipelines to enhance data processing efficiency by 30% through advanced NLP techniques.

• S.Data Scientist | EnkiAI (Feb 2024 – Present)

  • Leading NLP projects in the energy sector, implementing RAG pipelines and fine-tuning LLMs with a 20% improvement in response relevance.

• S.Data Scientist | Westaco (Feb 2026 – Apr 2026)

  • Improved and optimized an existing AI chatbot system by analyzing architecture, identifying performance bottlenecks, and enhancing response accuracy.

• Freelance Data Scientist (Mar 2023 – Present)

  • Developed end-to-end data solutions, including customer segmentation and sentiment analysis for various clients.

• Mathematics Teacher | Secondary School (Apr 2017 – Present)

  • Leveraged analytical skills to optimize student learning paths, resulting in a 40% increase in academic success metrics.

💪💡 Strong analytical mindset, attention to detail, and effective communication skills add value to any data-focused team. Let's analyze the data together! 🚀🔍

Project Category		Description	GitHub
Data Analysis - Python		Explore various data analysis projects using Python, including data cleaning, visualization, and statistical analysis.
Data Analysis - SQL		Analyze datasets using SQL queries, focusing on extracting valuable insights and trends.
Power BI		Explore Power BI projects, including data visualization, data modeling, and interactive dashboards. This includes challenges and sample reports for improving your Power BI skills.
Data Analysis - Tableau		Utilize Tableau for data visualization and exploration, creating interactive dashboards to convey meaningful information.
Looker Studio		Create powerful and interactive dashboards using Looker Studio. This repository showcases various data visualization techniques, dynamic charts, and customizable reports to turn raw data into meaningful insights. Unlock the potential of data-driven decision-making! 📊
Data Analysis - Spreadsheets		Perform data analysis using spreadsheet tools, demonstrating skills in data manipulation and visualization.
NLP (Natural Language Processing)		Apply NLP techniques for various projects, including sentiment analysis, text classification, and language modeling.
Machine Learning		Implement machine learning algorithms for various projects, showcasing classification, regression, and clustering models.
Deep Learning		Explore deep learning projects, including neural networks and deep neural network architectures, for tasks such as image recognition and natural language processing.
Generative AI		Explore Generative AI projects, including text generation, image synthesis, and innovative applications of AI in various fields. This includes examples, challenges, and resources to enhance your understanding of generative models.
React Native		Build cross-platform mobile applications using React Native. This repository includes examples of reusable components, navigation, API integration, and state management to create seamless Android and iOS apps. Dive into the world of modern mobile development! 🚀

Project Name	Description	GitHub	Streamlit
NER (Named Entity Recognition) Application with Gliner	Extract Any Entity from Text with GLiNER. This is a Named Entity Recognition (NER) application powered by Gliner, implemented using Streamlit. NER allows users to identify and classify named entities in unstructured text.
LangChain - Conversational AI with Gemini and OpenAI	LangChain is a conversational AI application that leverages the power of the Gemini and OpenAI models to provide users with an interactive chat experience. Users can ask questions and receive answers based on the context provided by uploaded PDF documents.
Auto Analytics: Advanced Estimation & Deployment 🛠️	This project focuses on using machine learning algorithms to estimate car prices. Various regression algorithms were implemented, including: Linear Regression, Lasso Regression, Ridge Regression, Decision Tree, Random Forest, XGBoost. Model evaluation, grid-search, and cross-validation were performed, resulting in the following scores: