Home / About Me¶
Vasif Asadov
Junior Data Scientist
I am a Control and Automation Engineer currently pursuing a Master's degree at Yildiz Technical University. I specialize in building efficient data pipelines, performing advanced analytics, and developing AI-based systems. I am passionate about high-performance tools and highly optimized Linux environments.
Professional Summary¶
I am Vasif Asadov, a Data Scientist and Master's student in Control and Automation Engineering at Yildiz Technical University. My analytical foundation was established early — a perfect score of 700/700 on the Azerbaijan National Entrance Exam earned me a Presidential Scholarship, and that same precision carries into everything I build today.
My path into data science is rooted in real engineering experience. At SOCAR, one of the region's largest energy companies, I worked hands-on with SQL Server for data management and plant automation systems. That foundation led me to a 6-month Full Stack Data Science internship, where I took ownership of the entire ML pipeline — from raw data cleaning and exploratory analysis all the way through to model deployment using Python, SQL, R, and Tableau.
On the analytics side, I hold a Microsoft Certified Power BI Data Analyst Associate certification and have built production-grade dashboards that directly support business decision-making. I gravitate toward high-performance tooling — DuckDB and Polars are my go-to stack for fast, efficient data processing, and I document everything meticulously using Markdown, Quarto, and LaTeX.
Currently, my Master's thesis sits at the intersection of deep learning and control theory: AI-based Model Predictive Control of Nonlinear Systems. I am drawn to problems where rigorous engineering meets modern machine learning — and I build systems that are not just accurate, but production-ready, automated, and built to last.
About Webpage¶
This platform is my official digital space, built using the MkDocs-Material library. My goal is to provide a structured environment where I share my technical journey across five main categories.
📊 Data Analysis Projects
Comprehensive projects shared with full documentation and source code. This section covers complex queries across multiple engines (T-SQL, PL/SQL, PostgreSQL, MySQL), interactive dashboards using Tableau, Power BI, Streamlit, and Apache Superset, and advanced data cleaning via Pandas, Polars, and DuckDB SQL.
🧠 Data Science Projects
Advanced implementation of Regression, Classification, and Clustering models. Features projects involving Neural Networks, Computer Vision, and Image Processing tasks. Primarily developed using Python and R, focusing heavily on building robust end-to-end machine learning pipelines.
📝 Data Articles
A collection of my research, curated readings, and summaries regarding Machine Learning and AI. I specifically concentrate on "must-know" topics for Data Science interviews, making this section an effective resource for both beginners and professionals.
🐧 Linux Roadmap
As a dedicated Linux user, I share my experiences with a variety of Distros and DEs. Having tested almost all major distributions, I provide a clear guide on the advantages, disadvantages, and technical challenges I encountered for high-performance setups.
🎓 Master Thesis
A dedicated log of my academic journey at Yildiz Technical University. My thesis, titled "Deep Learning based Model Predictive Control of Nonlinear Systems," aims to build a bridge between AI and Classical Control Theory. This section is constantly updated.
I hope you find the content here valuable. Feel free to contact me regarding any technical topics, collaborations, or feedback. I am committed to maintaining this site as a high-quality knowledge base.