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aysenurarslann/README.md

Hi there, I'm Ayşenur Arslan 👋

Typing SVG


🚀 About Me

I'm Ayşenur Arslan, an AI Engineer specializing in Machine Learning, Natural Language Processing (NLP), and Computer Vision. I build end-to-end AI solutions using Python, deep learning frameworks, and data engineering pipelines.

With a strong foundation in computer engineering and hands-on experience in real-world AI projects, I combine technical expertise with strategic thinking to deliver impactful, data-driven results.

My journey is driven by curiosity, especially in emerging fields like Turkish NLP, multimodal AI, and ethical data collection—areas where innovation meets responsibility.


💡 Core Strengths

🎯 Determined & Results-Oriented – Consistently meet deadlines and deliver high-quality work.
💬 Strong Communication Skills – Experienced in presenting complex ideas clearly and effectively.
🔍 Problem Solver – Tackle complex challenges with creative and efficient solutions.
🧠 Curious & Innovative – Passionate about exploring cutting-edge technologies, especially in niche domains like NLP in Turkish.
🌐 Collaborative & Motivational – Inspire teams to adopt new approaches and improve outcomes.


🔧 Skills & Expertise

🎯 Machine Learning & Deep Learning

PyTorch Scikit-learn XGBoost

  • Scikit-learn, Random Forest, SVM, KNN, Decision Trees, XGBoost
  • CNN, LSTM, Transformers, BERT, YOLOv8, AlexNet
  • Fine-tuning Turkish BERT models (savasy/bert-base-turkish-sentiment-cased, VRLLab/TurkishBERTweet)
  • LoRA for efficient model adaptation

🤖 NLP & Computer Vision

spaCy OpenCV YOLO

  • Sentiment Analysis, Text Classification, Named Entity Recognition
  • Object Detection & Tracking (SORT Algorithm)
  • Image Processing, Hyperspectral Imaging Analysis
  • Multimodal AI: Combining vision + language (e.g., RAG-inspired systems)

🛠️ Data Engineering & Web Tech

Python FastAPI Flask React

  • Pandas, NumPy, Data Labeling, Feature Engineering
  • REST APIs, Web Scraping (Selenium), Geospatial Data
  • PostgreSQL, MySQL, MongoDB, SQLite
  • Matplotlib, Seaborn, Plotly for visualization

🧰 Tools & DevOps

Git Docker GitHub Actions

  • Git, CI/CD, REST API Design
  • Ethical scraping, rate-limiting, data privacy compliance

📈 GitHub Activity & Stats

GitHub Stats Top Languages Trophy


🎓 Education

Bachelor of Science in Computer Engineering
Konya Technical University | 2021–2025
Relevant Courses: AI, ML, Deep Learning, Software Engineering, Computer Networks, Operating Systems


🏆 Certifications

  • BursCamp Artificial Intelligence Program – Kairu, 2025
  • Security in Development – Techcareer, 2024
  • Introduction to NLP – BTK, 2024
  • Introduction to AI – BTK, 2023
  • Game Development with Unity – BTK, 2022

🤝 Connect With Me

LinkedIn
GitHub
Website
📧 Email: [email protected]

📍 Selçuklu / Konya, Türkiye


💬 Let's Collaborate!

I'm always excited to work on innovative AI projects, especially those involving NLP in Turkish, multimodal systems, or ethical data practices. Whether it's open-source contributions, research, or startup ideas — let’s build something meaningful together.

Let’s turn curiosity into impact. 🚀

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  1. Fruit-Ripeness-Detection-Project-with-Hyperspectral-Image-Processing Fruit-Ripeness-Detection-Project-with-Hyperspectral-Image-Processing Public

    AI-powered fruit ripeness classification combining computer vision, feature selection, and machine learning algorithms

    Python 2

  2. Object_Detection_With_Yolo Object_Detection_With_Yolo Public

    YOLOv8 object detection with SORT tracking algorithm and automated counting system for video surveillance

    Python

  3. Twelenium Twelenium Public

    Twitter Data Collector | Python + Selenium web scraper for academic research. Extracts public tweets, metadata, and user info without API. Ideal for sentiment analysis, event tracking, and social …

    Python 1

  4. SentimentScope SentimentScope Public

    SentimentScope uses AI to analyze emotions in text data — from social media, reviews, or surveys — and turns subjective opinions into measurable insights. It identifies whether the sentiment is pos…

    Jupyter Notebook

  5. VisioQuery VisioQuery Public

    Smart image analysis tool that recognizes objects in photos and automatically searches the web for related information. Upload an image, get instant search results about what's detected. Runs from …

    Python

  6. stock-forecast-lstm-xgboost stock-forecast-lstm-xgboost Public

    The goal of this project is to predict Apple (AAPL) stock closing prices using the past 60 days of historical data and to compare the performance of LSTM (Deep Learning) and XGBoost (Machine Learni…

    Jupyter Notebook