- 👋 Hi, I’m Adrian Ochanyo, a doctor by training, self-taught data scientist, machine learning specialist and Digital Systems Product Manager.
- 👀 I’m interested in Product Management, Machine Learning,Data Science,Artificial Intelligence and Security of health data and applications.
- 🌱 I’m currently learning how to deploy my machine learning models using Flask and Docker and AWS; how to monitor performance of the models in production.
- 💞️ I’m looking to collaborate on any projects in healthcare that would require my expertise in Product Management,Machine Learning and Data Science.
- 📫 How to reach me drop me an email here: aochanyo@gmail.com
- I am proficient in the following:
-
Lwala Community Alliance
- Nairobi
-
14:30
(UTC -12:00) - lwalacommunityallliance.org
- @Ochanyo_
Popular repositories Loading
-
COVID-19-DATA-VISUALIZATION
COVID-19-DATA-VISUALIZATION PublicThis is a Project for the Jenga School Foundations Course.
Jupyter Notebook 1
-
Facebook-Sentiment-Analysis
Facebook-Sentiment-Analysis PublicSentiment analysis also known as 'opinion mining' is the ability to classify opinions expressed in text and determine whether authors attitude is positive,neutral or negative. This classification i…
Jupyter Notebook 1
-
-
Web-App-Model-Deployment-With-Streamlit
Web-App-Model-Deployment-With-Streamlit PublicThis repository is on Building a Simple Linear Regression Model and then deploying is as a Web App With Streamlit App
Jupyter Notebook
-
Business-Intelligence-Project-using-Power-BI
Business-Intelligence-Project-using-Power-BI PublicIn this repo, I created a very simple end-end-end Business Intelligence (BI) project using Power BI with a set of dummy data. But, before that, what is BI? In short, BI is a process of collecting, …
-
BloodSisters-An-Analysis-of-Netflix-s-African-Production
BloodSisters-An-Analysis-of-Netflix-s-African-Production PublicPerformed an Analysis of Tweets on the BloodSisters TV Series using NLP Techniques in Python and developed a Dashboard for the same.
Jupyter Notebook
If the problem persists, check the GitHub status page or contact support.