Seymur Aliyev
@seymuraliyev
Entry-level machine learning and data science practitioner focused on practical ML applications.
What I'm looking for
I am an entry-level machine learning and data science practitioner with hands-on experience building data-cleaning pipelines, feature engineering workflows, and end-to-end ML models. I have implemented projects using Python, scikit-learn, and containerization tools to deliver reproducible results.
My projects include a Telegram meta & flight bot with separate command handlers, human-readable decoded reports, and a house price predictor where I focused on scikitlearn encoding, scaling, and model training (MAE/MSE/R^2) and deployment. I contribute code on GitHub and follow best practices with Git, Linux, and Docker.
I am eager to learn, collaborate on innovative teams, and grow my MLOps and applied ML skills while contributing reliable technical foundations and strong data-cleaning and feature engineering capabilities.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Seymur Aliev
Entry-level ML/Data candidate who built and deployed ML models including a house price predictor and developed Telegram bot projects; experienced in data cleaning, feature engineering and basic MLOps.
Education
Degrees, certifications, and relevant coursework
Azerbaijan Technical University
Bachelor of Science, Computer Engineering
Activities and societies: Machine Learning/Data intern projects, GitHub projects (Telegram bot, ML house price predictor), Python (pandas, numpy, scikit-learn), Docker, Linux, Django
Computer Engineering student with practical experience in entry-level machine learning and data projects, including data cleaning, feature engineering, and model development and deployment.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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