- 🎯 Data Scientist focused on machine learning systems & data pipelines
- 🧠 Strong foundation in statistics, probability, and analytical modeling
- ⚙️ Build end-to-end ML pipelines (data → modeling → deployment)
- 📊 Interested in time-series forecasting & decision systems
I build machine learning systems and analytical pipelines using Python, SQL, and statistical modeling to solve real-world optimization problems.
🔗 https://www.quadrosense.online/
- 📈 Predicts 14-day soil moisture levels using weather data
- 🤖 Model: XGBoost-based time-series forecasting
- 🏗️ Pipeline: ingestion → cleaning → feature engineering → modeling
- 🗄️ Database: DuckDB (Medallion Architecture)
- 🌐 Includes web dashboard + irrigation advisory system
- Supports multi-climate agricultural decision-making
- Enables data-driven irrigation optimization
Python SQL
Pandas NumPy Scikit-learn SciPy
Feature Engineering Time-Series Forecasting Statistical Modeling
DuckDB MySQL Power BI Excel
GitHub Jupyter Notebook Google Colab Visual Studio Code
BBA — Azerbaijan State University of Economics (UNEC)
- Specialization: Business Analytics
- Focus: Statistics, Probability, Mathematical Methods in Decision Making
- Distinction: Top 15 GPA Scholarship
Data Science Program — IronHack / IDDA
- Machine Learning, EDA, Feature Engineering
- Model evaluation: R², RMSE, F1, Cross-validation
- Tools: Pandas, NumPy, Scikit-learn, DuckDB
AI Engineering — AI Academy
- Linear Algebra, Calculus, Probability for AI systems
Data Science & Engineering — Sigma Software University
- Practical training in data processing, analytics workflows, and software practices
- Oracle Certified Data Science Professional (OCI 2025)
- Oracle AI Foundations Associate (OCI 2025)
- Top 15 GPA — UNEC
- Red Hearts Education Scholarship (Kapital Bank)
- Gold Medal — National Geography Competition (Top 5 / 5000)
- Silver Badge — Top 200 / 100,000 graduates