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.

Shiva Khoshhal Doost

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.

Available to hire

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.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Persian
Fluent
Italian
Intermediate

Work Experience

Research Assistant at Politecnico di Torino
April 1, 2025 - November 11, 2025
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.
AI Engineer Intern at Tecnocad
March 31, 2025 - March 31, 2025
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.
Research Assistant at Tabarestan University
December 31, 2019 - December 31, 2019
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

Master of Science in Data Science and Engineering at Politecnico di Torino
January 1, 2022 - January 1, 2025
B.Sc. Computer Engineering at University of Mazandaran
January 11, 2030 - November 11, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Healthcare, Media & Entertainment, Professional Services