I'm a Computer Science Master's student with a strong passion for data analytics, machine learning, and NLP. My journey has taken me through academic research, real-world projects, and self-driven learning to bridge the gap between theory and practical applications.
πΉ Currently, I'm diving deep into time series modeling and business financial data analysis.
πΉ I have experience working with Machine Learning Algorithms, NLP, SQL, Python, and Tableau, and I'm actively improving my skills through hands-on projects.
Here are some of the projects I've worked on:
- Hotel Demand & Revenue Analysis π: Modeled hotel demand and profitability using financial and economic data before and during COVID-19, focusing on time series modeling and forecasting using Linear Regression, Bass models, and ARIMA models.
- Comparison of Pretrained Models on Newspaper Summarization and Sentiment Analysis π°: Evaluated BART, T5, Pegasus, and BERT for text summarization and sentiment analysis, achieving superior performance with BART for summarization and VADER for sentiment classification.
- Python Static Type Checker π: Developed a static type checker for Python using JFlex, CUP, and TypeScript, integrating it into a VS Code extension.
- Optical Coherence Tomography Image Segmentation ποΈ: Trained CNN-based models (2D-UNET, 3D-UNET) for retina layer segmentation, optimizing precision with Dice+BCE loss function.
- Languages: Python, SQL, R
- Data Science & Analytics: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
- Machine Learning & NLP: TensorFlow, Keras, Gensim, NLTK, SpaCy
- Databases & BI Tools: PostgreSQL, Tableau, Excel
- Version Control & Cloud: Git, GitHub, Google Cloud
- π© Email: aigerim.sagadiy@gmail.com
- πΌ LinkedIn: https://www.linkedin.com/in/aigerim-sagadiyeva/