Mehmet Yağız.
I am a passionate learner and data enthusiast.
A dedicated Data Analyst and Python Developer with a strong foundation in machine learning, web design, and coding.
Hi, my name is
About Me
I am a passionate learner with a diverse background in Russian Language and Literature, Web Design and Coding, and Electrical and Electronics. My journey has led me to develop a keen interest in data analysis, machine learning, and emerging technologies.
With a strong foundation in Python programming and various data analysis tools, I’ve worked on projects ranging from crypto & stock price prediction to multilingual text summarization. I’m constantly expanding my skillset through certifications and courses, with a particular focus on data science, machine learning, and AI applications.
I’m always eager to learn new technologies and apply them to solve real-world problems, and I’m excited about the possibilities that lie at the intersection of data, technology, and human understanding.
Here are some of my key skills:- Python (Data Analysis, Machine Learning, Web Scraping)
- Machine Learning (LSTM, Catboost, XGBoost, LGBM, Random Forest)
- Data Visualization (Matplotlib, Seaborn)
- Natural Language Processing (BART)
- SQL and Database Management
- Statistical Analysis (SPSS, EViews, Stata, Orange Data Mining)
- Web Development (Flask, HTML, CSS)
- API Integration and Development
- Version Control (Git)
- Microsoft Office Suite (Word, Excel, PowerPoint)
- Data Preprocessing and Feature Engineering
- Time Series Analysis and Forecasting
Education
2012 - 2016
High School Diploma in Electrical and Electronics
Gülay K. Sarıkaya ATMLProjects
Python
Machine Learning
LSTM
Catboost
XGBoost
LGBM
Tkinter
Crypto & Stock Price Prediction and Forecasting Toolkit
Developed a Python-based toolkit leveraging various machine learning models for predicting and forecasting crypto and stock prices.
Python
Flask
NLP
BART
Opus
Multilingual Text Summarization and Translation API
Built a Flask-based API that summarizes text in any language supported by the BART model and translates it to English.
Python
Pygame
Game Development
Pareidolia Attention Test
Created a Pygame-based attention test challenging users to identify human faces or objects in abstract images.
Python
Web Scraping
API Integration
YouTube - Spotify Playlist Copier
Developed a Python tool to automatically copy playlists between YouTube and Spotify.
Python
Flask
API Integration
Machine Learning
Data Preprocessing
Spotify API
Song Recommender
Built a Flask application that leverages Spotify's API and machine learning techniques to provide personalized song recommendations based on user preferences.
Python
Flask
SQLite
Web Development
Multilingual Dictionary Application
Created a web-based multilingual dictionary application with Flask that allows users to search, add, and manage words across different languages.
Achievements
DTO TREESP1.3.FoW/P.03/365 Program
Completed comprehensive training in various aspects of data analysis, programming, and information systems.
BTK Academy Certification
Completed Python and Tensorflow for Data Science course.
AFAD Volunteer Certifications
Completed various courses including Understanding Disaster Risks, Reducing Disaster Risks, and Leadership.
Get in Touch
Feel free to reach out if you’d like to collaborate on a project, discuss data science opportunities, or just want to connect!