Master's student in Data Science and AI at Unistra. I'm passionate about working on machine learning models, LLMs, visualizing data, and turning ideas into real applications.
Curious and analytical student, with strong interest in applying modern AI techniques. Experienced in teamwork, deep learning, and data analysis.
I have developed and contributed to a diverse portfolio of projects—from LLM text-to-SQL assistants and spatial analytics platforms to forecasting engines, dashboard-driven data products, computer vision pipelines, and advanced machine learning models.
Co-developing a web app to navigate/extract data from French agricultural parcels and integrated an LLM text-to-SQL assistant for natural language querying and visualization.
Analyzed water quality data to answer questions about water quality and spatial patterns: engineered temporal features, ran K-Means, validated clusters with I2M2, and mapped spatial patterns with CORINE land cover.
Built 5-year equity datasets, trained global and per-stock deep learning models, and benchmarked architectures to highlight the Transformer as the most accurate.
I am in the final stages of my master’s program and will soon start a six-month internship at Kwarto as a Data Scientist / AI Developer. During this internship, I will focus on building machine learning models and developing computer vision systems.
I have been looking into Virtual Try On (VTON) approachs/models lately.
Capabilities
LLM alignment, geospatial analytics, forecasting, classification, computer vision, model evaluation, data analysis, clustering, data visualization, deep learning.
Toolbox
Python, PyTorch, scikit-learn, GeoPandas, SQL, TensorFlow, seaborn, matplotlib and a bit of C/C++/Java when needed.
Git, Bash, Dash, Next.js, a bit of Flask...
Contact
I keep my inbox open for offers, research projects, or any kind of questions!
ataberk.karabag@gmail.com