As a statistics student, I have gained a deep understanding of statistical methods and their applications in solving real-world problems. I have also developed a strong foundation in programming languages such as Python, R, and SQL, which has enabled me to analyze and manipulate large data sets. My interest in data analysis and modeling has led me to pursue a career as a data scientist, where I can use my skills to identify patterns and trends in data, build predictive models, and provide actionable insights to decision-makers. I am excited about the opportunities that this field offers and am committed to continuously learning and honing my skills to excel in this role.
YetGen is a 12-week 21st Century Competencies Training Program where pieces of training topics inludes these:
I am completing the assignments given during the Yetkin Gençler Education and Awareness Program, and learn to establish my enterprise with the focus of the UN Sustainable Development Goals within the GirişGen process.
GPA : 3.46 / 4.0
- •Python
- •Numpy
- •Pandas
- •Matplotlib
- •Selenium
- •Beautiful Soup
- •Flask
- •Machine Learning
- •Data Science
- •Data Analysis
- •Excel
- •SQL
- •R
- •Power BI
- •Team Management
- •Leadership
- •Innovative Ideas & Brainstorming
- •Problem Solving
- •Design Thinking
- •Agile Working System
- •Programming
- •Coding
- •Algorithms
- •Linear Algebra
- •Calculus
- •Probability & Statistics
- •Time Series
Performed extensive statistical analysis using R, SPSS, and SAS on a dataset of German vehicles. Applied MANOVA, PCA, factor analysis, discriminant analysis, logistic regression, and clustering to evaluate key factors such as fuel consumption, price, and horsepower to uncover market trends and consumer preferences.
Developed an automated hotel assistant using n8n, DeepSeek LLM, and Google Sheets to streamline reservation handling via WhatsApp. The system intelligently parses customer queries for dates, room types, and guest count, matches them with live availability from a connected spreadsheet, and responds in natural language. Integrated Twilio API for real-time two-way communication and implemented dynamic intent recognition and tool usage through AI agent workflows.
Developed an automated system using Python, Selenium, and Flask to manage and update product data for e-commerce sellers. The system retrieves live stock status, product images, and translates descriptions via an API. Integrated a web-based interface through Flask, allowing users to perform stock checks and image fetching without accessing the source code.
This project is an automation designed to regularly check the price, availability and other important information of specific IKEA products. Using Selenium WebDriver, product information is pulled from IKEA's website, compiled into a regular Excel report and automatically sent to selected email addresses on a weekly basis.