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I am Delbar Faghih, a data scientist specializing in machine learning, statistical modeling, and end-to-end data pipelines. I design and deploy robust forecasting, anomaly detection, and geospatial analytics, translating complex data into actionable insights for decision-makers across academic, industrial, and consulting settings. I am proficient in Python, SQL, and increasingly cloud-based workflows, with a passion for expanding my skills in modern data platforms.\n\nCollaborating across multidisciplinary teams, I value clear communication and reproducible research. My work spans weather and building energy forecasting, high-dimensional statistics, and geological analytics, with experience delivering production-ready pipelines and documentation for domain experts.…I am Delbar Faghih, a data scientist specializing in machine learning, statistical modeling, and end-to-end data pipelines. I design and deploy robust forecasting, anomaly detection, and geospatial analytics, translating complex data into actionable insights for decision-makers across academic, industrial, and consulting settings. I am proficient in Python, SQL, and increasingly cloud-based workflows, with a passion for expanding my skills in modern data platforms.\n\nCollaborating across multidisciplinary teams, I value clear communication and reproducible research. My work spans weather and building energy forecasting, high-dimensional statistics, and geological analytics, with experience delivering production-ready pipelines and documentation for domain experts.

Delbar Faghih

Data Scientist, Data Analyst, App Developer, +2

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I am Delbar Faghih, a data scientist specializing in machine learning, statistical modeling, and end-to-end data pipelines. I design and deploy robust forecasting, anomaly detection, and geospatial analytics, translating complex data into actionable insights for decision-makers across academic, industrial, and consulting settings. I am proficient in Python, SQL, and increasingly cloud-based workflows, with a passion for expanding my skills in modern data platforms.\n\nCollaborating across multidisciplinary teams, I value clear communication and reproducible research. My work spans weather and building energy forecasting, high-dimensional statistics, and geological analytics, with experience delivering production-ready pipelines and documentation for domain experts.…I am Delbar Faghih, a data scientist specializing in machine learning, statistical modeling, and end-to-end data pipelines. I design and deploy robust forecasting, anomaly detection, and geospatial analytics, translating complex data into actionable insights for decision-makers across academic, industrial, and consulting settings. I am proficient in Python, SQL, and increasingly cloud-based workflows, with a passion for expanding my skills in modern data platforms.\n\nCollaborating across multidisciplinary teams, I value clear communication and reproducible research. My work spans weather and building energy forecasting, high-dimensional statistics, and geological analytics, with experience delivering production-ready pipelines and documentation for domain experts.

Available to hire

I am Delbar Faghih, a data scientist specializing in machine learning, statistical modeling, and end-to-end data pipelines. I design and deploy robust forecasting, anomaly detection, and geospatial analytics, translating complex data into actionable insights for decision-makers across academic, industrial, and consulting settings. I am proficient in Python, SQL, and increasingly cloud-based workflows, with a passion for expanding my skills in modern data platforms.\n\nCollaborating across multidisciplinary teams, I value clear communication and reproducible research. My work spans weather and building energy forecasting, high-dimensional statistics, and geological analytics, with experience delivering production-ready pipelines and documentation for domain experts.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Persian

Fluent

French

Beginner

German

Beginner

Work Experience

Lecturer – Probability, Statistics & Calculus at Islamic Azad University Kerman

February 1, 2025 - July 1, 2025

Delivered Python-based applied statistics projects aligned with industry forecasting and analytics workflows. Introduced students to data storytelling and model interpretation, fostering real-world problem-solving skills.

Freelance Data Scientist – Geological Data Modeling at Islamic Azad University Kerman

August 1, 2024 - Present

Built end-to-end anomaly detection pipelines for geospatial datasets, enabling faster identification of mining exploration targets. Applied unsupervised and supervised ML techniques (Isolation Forest, Random Forest) for production-ready geological analytics. Engineered a custom regression model to estimate the distance to mine center (polygon-based) from structured and spatial data. Aligned data strategy with domain expert feedback to ensure geological validity and exploration impact. Delivered reproducible workflows and technical documentation for deployment in mineral prospecting tasks.

Researcher (Modeling & Forecasting) at VITO & KU Leuven (Joint Project)

December 1, 2022 - January 1, 2024

Designed and implemented Gaussian Process Regression models in Python and Julia for weather and indoor temperature forecasting. Focused on uncertainty quantification to support data-driven decision-making in building thermal control strategies, improving robustness of energy management. Built simulation and validation pipelines to evaluate forecasting accuracy under noisy, incomplete data. Collaborated in multidisciplinary teams and communicated findings to both academic and industrial stakeholders.

Research Assistant – (Statistical AI & High-Dimensional Modeling) at University of Basel

January 1, 2022 - December 1, 2022

Conducted research on Random Matrix Theory and sub-Weibull distributions, extending theoretical results beyond the Gaussian case. Proved lower and upper bounds for regression models under long-tail distributions, contributing to more robust generalization guarantees. Developed Python-based simulation tools to evaluate regression robustness in high-dimensional and heavy-tailed settings. Gained expertise in uncertainty quantification and statistical inference.