Shiva Khoshhal Doost
Hi, I'm Shiva Khoshhal Doost, a data scientist and AI engineer based in Turin, Italy.
About
Hi, I’m Shiva Khoshhal Doost, a data scientist and AI engineer based in Turin, Italy. I bring hands-on experience in deep learning, anomaly detection, explainable AI (SHAP), forecasting, computer vision, NLP, and building reproducible ML pipelines. I enjoy turning messy data into actionable insights and delivering robust models that solve real-world problems.
I’m proficient in Python, SQL, and ML frameworks like PyTorch, TensorFlow, and XGBoost. I have worked with large structured and unstructured datasets, temporal sequences, and real-time inference workflows, from solar PV forecasting to autonomous perception. I also build dashboards with Power BI and Streamlit to visualize performance trends and illuminate anomalies.
- Joined November 2025
Languages
- EnglishFluent
- PersianFluent
- ItalianIntermediate
Industry experience
- Software & Internet
- Education
- Healthcare
- Media & Entertainment
- Professional Services
Work experience
Deep Learning, Forecasting, Python. Developed CNN models for national-scale solar PV forecasting using ERA5 weather data. Built preprocessing pipelines, temporal cross-validation setups, and data-quality workflows. Performed error-pattern analysis and bias correction to improve prediction stability. Built Power BI dashboards to visualize performance trends and anomalies.
YOLOX, ROS2, ONNX, Docker. Integrated YOLOX detection models into ROS2 nodes for real-time robotic perception. Exported models to ONNX and optimized latency by 35%. Built modular components for training and deployment using Docker and ROS2 tools.
Python, scikit-learn. Built ML classification models for healthcare datasets, focusing on preprocessing and evaluation. Conducted exploratory data analysis and visualization for academic research.
Education
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