Anh Maciag
@anhmaciag
I build production machine learning, experimentation, and pricing systems that drive measurable business impact.
What I'm looking for
At Fetcherr, I build uplift-analysis frameworks, control-group methodologies, and segmented pricing bands that quantify incremental business impact and maximize revenue opportunities. I also automate Dagster workflows for model training, evaluation, and output-quality checks.
Previously at DS Stream and Jones Lang LaSalle, I developed and deployed machine learning systems spanning reinforcement learning, object detection, product recommendations, work-order prediction, and NLP-driven comment analysis. I've created Kubeflow and Azure ML pipelines, deployed containerized microservices in Kubernetes, and delivered dashboards and proofs of concept for internal and external clients.
My background also includes analytics and financial modeling roles at First Republic Bank, Econ One Research, Bank of Ireland, and RBI Capital Management. I'm extending my work into reinforcement learning, multi-armed bandits, and intelligent decision-making systems.
Experience
Work history, roles, and key accomplishments
Data Scientist
Fetcherr
Dec 2024 - Present (1 year 8 months)
Develop uplift analysis frameworks and lead experimentation on model variants using A/B testing and Multi-Armed Bandit algorithms. Engineer and automate end-to-end Dagster workflows for ML model training and evaluation.
Education
Degrees, certifications, and relevant coursework
King's College London
Master of Science, Data Science
2017 - 2018
Grade: Pass with Merit
Master of Science in Data Science, Pass with Merit.
Saint Mary's College of California
Bachelor of Science, Mathematics
2012 - 2016
Grade: Cum Laude
Bachelor of Science in Mathematics with a minor in Economics, Cum Laude.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
Interested in hiring Anh?
You can contact Anh and 90k+ other talented remote workers on Himalayas.
Message AnhGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
