Open to opportunities

Alish
Guluzade

Full-Stack Developer & Data Scientist

Full-Stack Developer and Data Scientist based in Kiel, Germany. Building production-grade web applications, REST APIs, and AI-powered systems — from scalable backends to machine learning pipelines.

50K+
Records migrated
99%+
Data accuracy
97%
CNN precision
5+
Live dashboards
01 — Capabilities

Technical Skills

Full-stack data science: from raw SQL queries to deployed ML models and real-time BI dashboards.

Frontend
React Next.js TypeScript JavaScript Vite HTML/CSS Streamlit
Backend & Databases
FastAPI Node.js REST API JWT Auth PostgreSQL MongoDB Atlas SQLite FAISS Snowflake
DevOps & Cloud
Docker Git / GitHub AWS (S3, EC2) Linux (Ubuntu) Cron SSH / UFW
AI & ML
Python LangChain LLMs / RAG XGBoost PyTorch Scikit-learn MLflow Optuna NLP / CNN Groq API Ollama Power BI Grafana R Shiny ARIMA / Prophet
02 — Work History

Experience

Hands-on analytical work in banking and manufacturing sectors across Azerbaijan.

Data Analyst & Backend Developer
GMZ
Gəncə, Azerbaijan
Mar 2023 — Sep 2023
  • Designed and developed internal web platform with user authentication, news/announcements module, and product catalog with online ordering system using React, Next.js, TypeScript, and PostgreSQL.
  • Built and maintained REST APIs for product management, user sessions, and order processing; implemented JWT-based authentication and server-side rendering for performance optimization.
  • Built interactive Power BI dashboards with real-time SQL integration, reducing manual reporting time by 40% and enabling management to track KPIs with 99%+ data reliability.
  • Cleaned and structured 10,000+ production records using Python and SQL, improving data accuracy by 95%.
Stack: Next.js · React · TypeScript · PostgreSQL · REST API · JWT · SSR · Python · SQL · Power BI
03 — Portfolio

Projects

From NLP research to real-time streaming systems and deployed ML pipelines.

Full-Stack · LLM · RAG
Polyglot RAG — Full-Stack Multilingual AI App
Full-stack multilingual AI application with React/Next.js frontend, FastAPI backend, and MongoDB Atlas HNSW vector search. Supports 5 languages with per-user document isolation via JWT. Runs both cloud (Groq/Llama 3.1) and local (Ollama/Phi-3) LLMs.
5 languages
JWT auth
2 LLM providers
Next.jsReactFastAPI MongoDB AtlasDockerGroq APIOllama
Big Data · Streaming · Real-time
Kafka Real-Time Data Streaming
Apache Kafka-based real-time data streaming pipeline. Producer–consumer architecture with distributed topic management, fault tolerance, and scalable big data processing.
Pub-Sub model
Real-time processing
Apache KafkaPython Producer/ConsumerBig Data
Deep Learning · Computer Vision · PyTorch
Apple Leaf Disease Detection (CNN)
Deep learning image classifier for apple leaf disease detection across 4 disease classes using CNN in PyTorch. Outperforms Random Forest baseline by 8.7% with 97.71% precision.
97.71% precision
97.69% recall
4,000+ images
PyTorchCNNScikit-learn MatplotlibPlantVillage
NLP · Sentiment Analysis · Web Scraping
KFC Reviews Sentiment Analysis
Scraped 500+ Trustpilot reviews using Selenium, conducted sentiment analysis with TextBlob, and built 3 classification models. Detected mismatches between written tone and star ratings.
91.7% LR accuracy
0.97 F1-score
0.61 Pearson r
PythonSeleniumTextBlob TF-IDFScikit-learnSeaborn
Backend · REST API · DevOps
Todo API — FastAPI + PostgreSQL + Docker
Production-ready REST API built with FastAPI, PostgreSQL, and Docker. Full CRUD operations, Swagger UI docs, containerized deployment with docker-compose, and clean SQLAlchemy ORM architecture.
7 endpoints
Dockerized deploy
FastAPIPostgreSQLDocker SQLAlchemyPythonPydantic
AWS · Snowflake · NLP · Analytics
Conversational Analytics — Regiocast
End-to-end NLP pipeline processing sales queries in German natural language. 3-layer Snowflake data model with LLM-generated SQL and self-serve Streamlit dashboard with CSV export.
100% query coverage
0 data exposures
AWS S3SnowflakeOpenAI API PythonStreamlitNLP
R Shiny · Finance · Forecasting
Global Financial Health Dashboard
Full-stack financial analytics dashboard with real-time stock data (S&P 500, Gold, Oil, 5 tech stocks), ARIMA/Prophet forecasting, and portfolio builder with Sharpe ratio. Deployed live on shinyapps.io.
Live deployment
Real-time APIs
ARIMA + Prophet
R ShinyPlotlyARIMA ProphetYahoo Finance APIWorld Bank API
MLOps · XGBoost · FastAPI
Credit Risk Intelligence Pipeline
Production-style ML system predicting loan default risk. Full pipeline: ETL, model training with Optuna tuning, MLflow tracking, FastAPI serving, and a Streamlit dashboard, with every prediction logged to SQLite.
0.786 AUC score
4 models compared
30 tuning trials
XGBoostFastAPIMLflow StreamlitOptunaSQLite
Data Engineering · Docker · Linux
Linux Server CRM Analytics Platform
End-to-end data engineering project on a self-managed Linux server: PostgreSQL, Dockerized Grafana dashboards, Python ETL pipelines, and automated cron jobs for data growth and daily backups.
8 Grafana panels
6-table schema
7-day backups
PostgreSQLDockerGrafana Python ETLCronUFW
Full-Stack · React · Microservices
ShopHub — E-Commerce Marketplace
Full-stack marketplace platform with JWT role-based authentication, shopping cart, order tracking, and a seller marketplace system with admin approval for new listings. Fully dockerized and deployed live.
3 user roles
Live deployment
FastAPIReactPostgreSQL JWT AuthDocker
Automation · Telegram Bot · Python
News Video Bot — Automated Content Pipeline
Telegram bot that automatically fetches motivational/news articles via RSS, generates narrated videos, and posts them daily. Runs as a systemd service with scheduled cron-based delivery.
6+ RSS sources
Daily automation
PythonTelegram APIMoviePy RSSsystemd
04 — Academic Background

Education

M.Sc. Data Science
Fachhochschule Kiel, Germany
2024 — Present
M.Sc. Mathematics
Mugla Sitki Kochman University, Turkey
2019 — 2022
B.Sc. Computer Engineering
National Aviation Academy, Azerbaijan
2015 — 2019
Certifications
IBM
What is Data Science?
IBM
IBM
Databases and SQL for Data Science with Python
IBM
MS
Preparing Data for Analysis with Microsoft Excel
Microsoft
MS
Harnessing the Power of Data with Power BI
Microsoft
MS
Extract, Transform and Load Data in Power BI
Microsoft
Languages
Azerbaijani
Native
English
Advanced
Russian
Fluent
Turkish
Fluent
German
Elementary (A1–A2)
05 — Get In Touch

Contact