NDAH-E Analytics is a customer-first organization providing consultancy solutions to support strategic planning and decision-making. We bring modern and adaptable data and analytics solutions through modular AI platforms to turn data into outcomes across the healthcare value chain. Our mission is to help organizations unlock their business potential by providing relevant insights through (big) data and analytics.
About
Team
Machine Learning Engineering
I am a practicing Senior Data Scientist with a PhD in Bioinformatics supplemented by an Advance masters degree in Artificial intelligence and a masters in Statistics. I have over 10 years (combined experience between academic research and industry) of experience in building and designing machine learning and AI systems.
- Degree: PhD in bioinformatics
- Email: elvis.ndah@ndaheanalytics.com
Statistical Consultant
I have extensive experience in statistical consultation, data analysis, and research design for both quantitative and qualitative projects.
- Degree: PhD in Statistics
- Email: nji.abatih@ndaheanalytics.com
Facts
Happy Clients
Projects
Hours Of Support
Skills
Services
We provide actionable data insights, powerful analytics, and seamless data integration customized to your organization’s needs.
Machine Learning & AI
State of the Art Machine Learning & AI (NLP, Vision, Graph based), modular and API-first design.
Business intelligence and Insights
Turning data to insights, through multi-source extraction, linking and enrichment.
Digital Transformation and visualizations
Built from ground-up to understand data. We extract relevant information and enrich with human know-how to aid decision making and data discovery.
Cloud Computing
Our team helps you choose the most cost-effective cloud infrastructure stack to support your organisation's data-related computing needs.
Bioinformatics
We offer standard and custom bioinformatics solutions from high-throughput (multi-)omics data.
Blog
Knowledge is sharing
Contact
Location:
Mechelen, Belgium
Email:
info@ndaheanalytics.com
Call:
(+32) 0469 24 29 27