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I am Solomon T. Faro, a data scientist and economist with 10+ years of experience applying quantitative methods to health, environment, and business problems. I specialize in building scalable data products and evidence-based AI solutions, from end-to-end ML pipelines to regulator-ready explainability and MLOps pipelines. I thrive in cross-functional teams, translating complex evidence into actionable insights for payers, regulators, and commercial teams. I’m comfortable communicating results to non-technical stakeholders and delivering decision-support tools, dashboards, and policy-relevant analyses with a focus on equity and cost-effectiveness in health and policy.…I am Solomon T. Faro, a data scientist and economist with 10+ years of experience applying quantitative methods to health, environment, and business problems. I specialize in building scalable data products and evidence-based AI solutions, from end-to-end ML pipelines to regulator-ready explainability and MLOps pipelines. I thrive in cross-functional teams, translating complex evidence into actionable insights for payers, regulators, and commercial teams. I’m comfortable communicating results to non-technical stakeholders and delivering decision-support tools, dashboards, and policy-relevant analyses with a focus on equity and cost-effectiveness in health and policy.

Solomon T. Faro

Data Scientist, AI Engineer, AI Developer, +5

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I am Solomon T. Faro, a data scientist and economist with 10+ years of experience applying quantitative methods to health, environment, and business problems. I specialize in building scalable data products and evidence-based AI solutions, from end-to-end ML pipelines to regulator-ready explainability and MLOps pipelines. I thrive in cross-functional teams, translating complex evidence into actionable insights for payers, regulators, and commercial teams. I’m comfortable communicating results to non-technical stakeholders and delivering decision-support tools, dashboards, and policy-relevant analyses with a focus on equity and cost-effectiveness in health and policy.…I am Solomon T. Faro, a data scientist and economist with 10+ years of experience applying quantitative methods to health, environment, and business problems. I specialize in building scalable data products and evidence-based AI solutions, from end-to-end ML pipelines to regulator-ready explainability and MLOps pipelines. I thrive in cross-functional teams, translating complex evidence into actionable insights for payers, regulators, and commercial teams. I’m comfortable communicating results to non-technical stakeholders and delivering decision-support tools, dashboards, and policy-relevant analyses with a focus on equity and cost-effectiveness in health and policy.

Available to hire

I am Solomon T. Faro, a data scientist and economist with 10+ years of experience applying quantitative methods to health, environment, and business problems. I specialize in building scalable data products and evidence-based AI solutions, from end-to-end ML pipelines to regulator-ready explainability and MLOps pipelines.

I thrive in cross-functional teams, translating complex evidence into actionable insights for payers, regulators, and commercial teams. I’m comfortable communicating results to non-technical stakeholders and delivering decision-support tools, dashboards, and policy-relevant analyses with a focus on equity and cost-effectiveness in health and policy.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at MAAY.LLT (Freelance)

January 1, 2025 - Present

End-to-end credit risk ML system (data → modeling → FastAPI scoring) with full prediction logging and auditability. Implemented production-grade MLOps, including experiment tracking, model versioning, deployment automation, and dashboard-based performance monitoring. Built a Retrieval-Augmented Generation (RAG) layer for interpretable, regulator-ready explanations and drift detection (PSI, KS).

Data Scientist at University of Calgary

January 1, 2024 - Present

Developed reproducible analytics workflow for administrative health data. Built dashboard framework integrating screening, treatment, and outcomes. Applied event-study models for policy evaluations with exportable outputs. Performed QALY-based cost-effectiveness analysis. Analyzed equity outcomes via income-stratified indicators. Delivered outputs for grants, teaching, and internal reports.

Principal Researcher at EU, James Hutton Institute Projects

January 1, 2018 - January 1, 2021

Developed classification/regression models for public policy. Streamlined data collection, improved analytical speed by 40%. Built dashboards and ML-assisted reporting tools. Trained junior scientists in reproducibility and validation. Produced policy briefs and visual summaries.

Principal Researcher at Swiss Projects (Ethiopia)

January 1, 2014 - January 1, 2017

Led evaluation of adoption and performance of water harvesting technologies. Designed and analyzed discrete choice experiments to inform technology selection and contract design. Received Swiss Federal Institute of Aquatic Science and Technology (Eawag) support during a 3-month research visit. Contributed to sustainable water management policy in semi-arid regions.

Data Scientist - Freelance at MAAY.LLT

January 1, 2025 - Present

Credit Risk ML Project – Key Achievements: Built an end-to-end credit risk ML system (data → modeling → FastAPI scoring) with full prediction logging and auditability; Developed monitoring with drift detection (PSI, KS), automated reports, and a RAG layer for interpretable, regulator-ready model explanations; Implemented production-grade MLOps: experiment tracking, model versioning, deployment automation, and dashboard-based performance monitoring.

Data Scientist at University of Calgary, Canada

January 1, 2024 - January 1, 2024

Principal Researcher at Swiss Projects

January 1, 2014 - January 1, 2017

Led research in Ethiopia evaluating adoption and performance of water harvesting technologies. Designed and analyzed discrete choice experiments to inform technology selection and contract design. Received research support from Swiss Federal Institute of Aquatic Science and Technology (Eawag) during a 3-month research visit. Project outcomes contributed to sustainable water management policy in semi-arid regions.