Bank Health: US bank early warning
Scores 4,000+ FDIC-insured banks each week on their chance of distress in the next year, with the reasons behind every score.
- Airflow
- Databricks
- Snowflake
- dbt
- gradient boosting
- Terraform
Martins Ogiekpolor
Data scientist. I turn messy public data into trustworthy, explainable systems, across industries.
Denton, Texas
About
I'm a data scientist who builds complete data products, not just models. I take raw, imperfect data and turn it into tested pipelines, clear dashboards, and models that explain their reasoning in plain language.
I'm drawn to problems where good data changes real decisions, whether in finance, healthcare, technology or energy. The tools change from sector to sector; the approach doesn't: understand the domain, check the data, measure honestly, and say clearly where the work falls short.
What I do
- Data engineeringreliable pipelines with tests, monitoring and alerts
- Machine learningmodels that are validated, monitored and explainable
- Communicationturning results into something non-specialists can act on
Sectors
Work by sector
Each sector has its own space, so you can go straight to what matters to you.
More sectors are added as projects launch.
Projects
Projects
Contact
- Emailcontact@martinsogiekpolor.com
- LinkedInlinkedin.com/in/mogiekpo88
- GitHubgithub.com/martinogie