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NavidTavakoli/README.md
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LinkedIn Portfolio Gmail

👋 About me

Environmental Engineer turned Data Engineer, based in Turin, Italy. I bridge three worlds — civil & environmental engineering, geospatial AI / remote sensing, and modern data engineering — building reproducible pipelines and applying deep learning to satellite imagery for urban and environmental problems.

  • 🔭 Freelance Data Engineer (2024–present): ETL/streaming pipelines with Airflow, Kafka and Spark Structured Streaming, plus LLM API / RAG microservice integration
  • 🎓 M.Sc. Environmental Engineering, University of Bologna — thesis applied DeepLabV3+/ResNet to WorldView satellite imagery for building-footprint extraction across Turin & Bologna, 93%+ accuracy
  • 🏗️ Started in Civil Engineering: site supervision, IoT-based environmental monitoring, sustainability reporting
  • 🌱 Currently deepening Spark Structured Streaming, Kafka, and geospatial deep learning

🛠️ Tech stack

Languages & Databases Python SQL R MATLAB PostgreSQL MariaDB Redis

Data Engineering & Orchestration Airflow Docker Kubernetes AWS GitHub Actions Grafana Prometheus

Streaming & Big Data Kafka Spark Flink ClickHouse Elasticsearch

Geospatial & GIS QGIS PostGIS GDAL SGeMS

Computer Vision & ML OpenCV TensorFlow PyTorch scikit-learn

Analysis & Visualization pandas NumPy Tableau

🚀 Featured projects — Data Engineering & Streaming

🔗 Real-Time Fraud Detection Pipeline
CDC via Debezium streams sharded PostgreSQL/MySQL transactions into Kafka; Spark Structured Streaming detects anomalies in real time, serving metrics through Redis.
PostgreSQL MySQL Debezium Kafka Spark Redis

🔗 TravelPulse
Kafka + Spark Structured Streaming platform simulating flights, hotel bookings, and weather for Italy, with Prometheus/Grafana dashboards for tourism KPIs.
Kafka Spark Prometheus Grafana

🔗 TOP — Turin Open Platform
Near real-time Turin city dashboard integrating weather, air quality, traffic, and citizen sentiment via GitHub Actions ETL into Supabase/PostgreSQL.
GitHub Actions Supabase PostgreSQL ECharts

🔗 GDPR-Aware Reddit ETL
Airflow DAGs extract, de-duplicate, hash sensitive fields, and UPSERT Reddit data into PostgreSQL with privacy-by-design handling.
Airflow Python PostgreSQL

🛰️ Featured projects — Geospatial AI & Environmental Research

🛰️ Building Footprint Extraction (DeepLabV3 + ResNet)
DeepLabV3 + ResNet50 on WorldView satellite imagery for Turin & Bologna; used for solar-potential and rainwater-harvesting assessments.
PyTorch DeepLabV3 QGIS Remote Sensing

🛰️ Geostatistical Ozone Modeling
Variogram modeling and kriging on O₃ data from 738 EEA monitoring stations across 5 European countries.
R SGeMS Geostatistics

🛰️ Geospatial Data Prep Toolkit
Python/GDAL/Rasterio pipeline for clipping, tiling, reprojecting, and vectorizing satellite imagery for deep learning workflows.
Python GDAL Rasterio GeoPandas

🔍 Explore all repositories →
📦 More projects

📊 GitHub stats

Let's connect — open to conversations on data engineering, geospatial AI, and smart cities.

LinkedIn · Portfolio · Email

Turin, Italy 🇮🇹

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  1. Real-Time-Fraud-Detection-Pipeline Real-Time-Fraud-Detection-Pipeline Public

    Real-Time Retail Data Pipeline with CDC An end-to-end data engineering project that captures real-time transactions from PostgreSQL and MySQL using Debezium (CDC), streams them via Kafka, performs …

    Python 1

  2. TOP-turin-open-data-platform TOP-turin-open-data-platform Public

    Turin Open Data Platform (TOP) is a prototype smart city dashboard that collects, processes, and visualizes real-time urban data to provide actionable insights for Turin, Italy.

    JavaScript 6

  3. TravelPulse-spark-stream-tourism-analytics TravelPulse-spark-stream-tourism-analytics Public

    Real-time tourism analytics platform for Italy, built with Apache Kafka, Spark, Prometheus & Grafana. It processes live streams from flights, weather, and bookings to generate KPIs and visualize It…

    Python 1

  4. Computer-Vision-Deep-Learning-DeepLabV3-ResNet-Backbone-for-Image-Segmentation Computer-Vision-Deep-Learning-DeepLabV3-ResNet-Backbone-for-Image-Segmentation Public

    Advanced Deep Learning Models in Earth Observation for Urban Applications: Bologna and Turin Case Studies

    Python 1