I am an accomplished Data Scientist and AI Engineer with hands-on experience developing and deploying advanced machine learning models, including large language models, time-series forecasting systems, and NLP pipelines. I am proficient in Python, R, SQL, and cloud platforms such as Azure and AWS, with deep expertise in data analysis, statistical modeling, and data visualization. I have strong skills in building scalable data pipelines, implementing MLOps best practices, and delivering production-ready AI solutions that support impactful decision-making across business, health, and policy domains. My multilingual background and interdisciplinary research experience enhance my ability to collaborate globally and across sectors.

Mohammad Mohammadzadeh Aghdam

I am an accomplished Data Scientist and AI Engineer with hands-on experience developing and deploying advanced machine learning models, including large language models, time-series forecasting systems, and NLP pipelines. I am proficient in Python, R, SQL, and cloud platforms such as Azure and AWS, with deep expertise in data analysis, statistical modeling, and data visualization. I have strong skills in building scalable data pipelines, implementing MLOps best practices, and delivering production-ready AI solutions that support impactful decision-making across business, health, and policy domains. My multilingual background and interdisciplinary research experience enhance my ability to collaborate globally and across sectors.

Available to hire

I am an accomplished Data Scientist and AI Engineer with hands-on experience developing and deploying advanced machine learning models, including large language models, time-series forecasting systems, and NLP pipelines. I am proficient in Python, R, SQL, and cloud platforms such as Azure and AWS, with deep expertise in data analysis, statistical modeling, and data visualization.

I have strong skills in building scalable data pipelines, implementing MLOps best practices, and delivering production-ready AI solutions that support impactful decision-making across business, health, and policy domains. My multilingual background and interdisciplinary research experience enhance my ability to collaborate globally and across sectors.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent
German
Fluent
Arabic
Fluent
Persian
Fluent
French
Intermediate
Kurdish
Fluent

Work Experience

Data Scientist / Data Engineer at Terre des Hommes
July 31, 2025 - August 2, 2025
Designed and deployed a fully automated ETL + malaria forecasting pipeline on Azure Databricks using Spark, dbt, and Terraform executing weekly end-to-end updates without manual intervention. Trained 1,728 Prophet models with region-specific hyperparameter tuning and rolling validation; 79% achieved WMAPE below 50%, with top-performing models reaching forecasting accuracy above 85%, enabling reliable early outbreak detection across Burkina Faso. Engineered modular Python and SQL workflows integrating clinical, rainfall, and geospatial data for multivariate time-series forecasting and anomaly detection. Delivered interactive Power BI dashboards visualizing forecasts and district-level risk scores used weekly by national health teams for operational decision-making. Embedded MLOps best practices including GitHub versioning, CI/CD deployment, MLflow tracking, and dbt test automation. Authored reproducible documentation and led codebase handover sessions to multilingual teams. Developed a
Independent Researcher and Data Scientist at Freelance Roles
January 1, 2020 - Present
Collaborated with Zürich City Business School to design and deliver the Professional Certificate in Data Science, focusing on Python programming, machine learning, and neural networks. Provided data science solutions including algorithm development, predictive modeling, and AI-driven analytics. Conducted interdisciplinary research integrating data science with international relations, generating insights into governance and conflict. Designed algorithms for live trading systems, leveraging machine learning and reinforcement learning to optimize decision-making in dynamic environments.
Research Assistant at University of Geneva, DSPRI
December 31, 2020 - August 2, 2025
Led data collection and coding processes for major research projects on ethnic power relations and civilian victimization in conflict zones. Contributed to creation of datasets integrated with GED UCDP dataset for advanced visualizations and policy-related analyses. Presented research at international conferences and contributed to academic publications.
System Administrator and Technical Supporter at SDBB, Stadtverwaltung Bern, F.J. Aschwanden AG, and Konfigcenter Däniken
December 31, 2012 - August 2, 2025
Managed servers and IT infrastructure for multiple organizations, resolving technical issues and optimizing systems. Ensured smooth operation of networks to provide efficient and reliable IT environments.

Education

PhD at University of Geneva
January 1, 2015 - December 31, 2020
MA at University of Bern
January 1, 2014 - December 31, 2014
BS at University of Applied Sciences St. Gallen
January 1, 2003 - December 31, 2003
BA at Open University
January 1, 2011 - December 31, 2011

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Non-Profit Organization, Financial Services, Education, Government, Software & Internet, Professional Services