Hello, I'm Adilet! 👋
With a Master's degree in Applied Mathematics and 6 years of experience in education and project management, I transitioned into Data Science and currently work as a ML Engineer at "õzen: Stream". This repository showcases my journey, skills, and projects in Data Analysis, Machine Learning, LLM and NLP.
A curated collection of data science projects demonstrating my ability to solve real-world problems using analytical and machine learning techniques. Focus areas include:
- Predictive Modeling
- Natural Language Processing (NLP)
- Data Visualization & Analytics
- Computer Vision
- Goal: Predict equipment failures using sensor data.
- Tools: Python, Pandas, Scikit-learn, XGBoost.
- Outcome: Built a classification model to optimize maintenance schedules.
- Goal: Classify disaster-related tweets using NLP.
- Tools: TensorFlow, BERT, Transformers, NLTK.
- Outcome: Fine-tuned BERT model for binary classification (F1-score: 0.85).
- Goal: Automate vehicle damage detection from images.
- Tools: PyTorch, OpenCV, CNN, Transfer Learning.
- Outcome: Image classification model with 92% accuracy.
- Goal: Analyze educational platform data to improve user engagement.
- Tools: SQL, Tableau, Python (Pandas, Matplotlib).
- Outcome: Actionable insights for course optimization and retention strategies.
- Languages: Python (Pandas, NumPy), SQL
- ML/Deep Learning: Scikit-learn, PyTorch, TensorFlow, BERT, CNN
- Data Visualization: Matplotlib, Seaborn, Tableau
- Tools: Jupyter Notebooks, Git, Colab
- Telegram: @adiletamangossov
- Email: adilet.amangossov@gmail.com
Let’s collaborate to turn data into actionable insights!