
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Predict-Loan-Default-Risk-for-Farmers-Using-Geospatial-Data
June 2, 2026 – Present
Combine tabular data on agro loans with geospatial indicators (e.g., drought exposure, proximity to markets) to model default risk in Azerbaijan.
View ProjectSegment-Customers-of-Azerbaijani-Retail-Chains-Using-Clustering
May 24, 2026 – Present
Use unsupervised learning to segment customers based on purchasing behavior to help local chains (e.g. Bravo, Araz) optimize marketing.
View ProjectDetect-Crop-Diseases-Using-Aerial-Images
May 18, 2026 – Present
Train a deep learning model to classify plant diseases using high-resolution drone images, supporting precision agriculture in Azerbaijan.
View ProjectBuild-and-Query-a-Feature-Store-for-ML-Training-Serving
May 12, 2026 – Present
Create a reusable feature store to serve features for both training and inference using a modern tool like Feast. **Requirements:** - Define entities and feature sets (e.g., customer, transaction) - Use Feast for feature store setup - Materialize features from batch + stream sources - Query feature vectors for online/offline use
View ProjectEstimate-the-Causal-Impact-of-Marketing-Campaigns
May 4, 2026 – Present
A causal inference pipeline for measuring true marketing campaign lift — DiD, CausalImpact, EconML meta-learners, and cluster bootstrap in one notebook.
View ProjectBuild-a-Multi-Modal-Product-Classifier-Using-Text-and-Images
April 26, 2026 – Present
Classifying fashion products using both images and text — because a picture of a shirt and the words "men's casual shirt" together tell you more than either one alone. Built with ResNet-18 + DistilBERT, fused through a custom gated cross-attention mechanism.
View ProjectCombine-Prophet-and-XGBoost-for-Time-Series-Forecasting
April 18, 2026 – Present
Combine-Prophet-and-XGBoost-for-Time-Series-Forecasting — GitHub repository
View Project-Hospital-Readmission-Prediction-with-Explainable-AI-XAI-
April 9, 2026 – Present
focuses on predicting the 30-day readmission risk for diabetic patients using a dataset of 70,000+ clinical records from US hospitals. The primary goal is to provide a high-performing predictive model while ensuring transparency through Explainable AI (XAI) techniques.
View ProjectReal-Estate-Price-Prediction-in-Baku
May 28, 2025 – May 28, 2025
> Baku Apartment Price Prediction > This project aims to predict rental apartment prices by extracting data from bina.az. > Technologies Used: > - Web Scraping: requests, BeautifulSoup > - Data Processing: pandas, numpy > - Machine Learning: scikit-learn
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in applying data science to various domains, including retail, agriculture, healthcare, and real estate. This diversity suggests adaptability and a willingness to tackle different types of problems. However, all projects are personal and primarily use Jupyter Notebook, which might indicate limited experience in collaborative, production-grade environments. The focus on Azerbaijani-specific problems could be a strength for roles targeting that region but might require adaptation for broader international contexts. The lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.