
Mahammad Aliyev
@mahammadaliyev1
Data Scientist Intern at QSS Analytics developing machine learning models and computer vision projects with Python.
What I'm looking for
At QSS Analytics, I analyze and preprocess real-world datasets with Python, Pandas, and NumPy, then develop and evaluate machine learning models using Scikit-learn.
I also work on computer vision and deep learning projects, including image preprocessing and CNN-based model development with PyTorch and TensorFlow/Keras. I support Data Science learners by explaining concepts and guiding practical coding tasks.
In my projects, I analyzed credit risk factors using the Home Credit dataset and built a decoder-only transformer language model from scratch with PyTorch. I'm interested in applying AI and Data Science to real-world problems, particularly in fintech.
Experience
Work history, roles, and key accomplishments
Data Scientist Intern
QSS Analytics
Aug 2026 - Present (2 months)
Analyzed and preprocessed real-world datasets using Python, Pandas, and NumPy, including data cleaning, missing-value handling, feature preparation, and exploratory data analysis. Developed and evaluated machine learning models using Scikit-learn, and worked on computer vision and deep learning projects using PyTorch and TensorFlow/Keras.
Education
Degrees, certifications, and relevant coursework
Div Academy
Certificate, Data Science
2024 - 2025
Completed a Data Science program, covering data analysis, machine learning, and related topics.
Azerbaijan State University of Economics
Bachelor's Degree, Information Technologies and Systems Engineering
2023 - 2025
Studied Information Technologies and Systems Engineering, gaining knowledge in IT systems and engineering.
Azerbaijan State Oil and Industry University
Bachelor's Degree, Process Automation Engineering
2019 - 2023
Pursued a degree in Process Automation Engineering, focusing on automation systems and engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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