About Me

Noé Fouotsa

I am a Data Scientist, with more than five years of experience. I help organizations to derive actionable insights from messy data, through three actions: First design and automate effective data pipelines for KPIs measurement; secondly build and deploy predictive models to support operational and strategic decision making; thirdly build dashboards to easily access and monitor KPIs. Please find below, a selected sample of former projects.

Healthcare

AI Doctor Project
AI Doctor

The aim of this tool is to diagnose patients and provide medication and lifestyle recommendations.

Tools: Python, Flask, Heroku

Web App GitHub
Early Diabetes Predictors Project
Multiple disease prediction

This project develops and deploys machine learning models for early and normal diabetes, as well as heart and parkinson disease predictions. The outputs are displayed in two user-friendly web apps.

Tools: Python, scikit-learn, TPOT, Docker, Heroku, Streamlit cloud.

Web App1 Web App2 Article GitHub
Diabetes Complications Sequences Project
Diabetes Complications Sequences

Analysis and visualization of Type 2 Diabetes complications sequences over time.

Tools: Python, Graph Analysis, Visualization Libraries

Poster GitHub

Food security

Insights on Food Security
Insights on Food Security with Satellite Data

Exploring the use of satellite data to monitor and improve food security, focusing on the impacts of drought and lockdowns on farming.

Article 1 Article 2
Satellite Data for Invasive Species Mapping
Leveraging Satellite Data for Invasive Species Mapping

Utilizing satellite imagery to identify and map the spread of invasive plant species for environmental conservation.

Article GitHub
Storage Forecasting Project
Storage Forecasting

Developing models to predict water storage levels in reservoirs using historical data and machine learning techniques.

Article GitHub

General Purpose Tools

AutoML Task Generalizer Tool
AutoML Task Generalizer

This tool profiles data, trains a classifier or regressor model using PyCaret, and saves the best model for deployment.

Tools: Python, PyCaret, Heroku

Web App GitHub

Power BI

Bank Loan Portfolio Analysis and Reporting
Loan Portfolio Analysis

Tools: Python, Excel, SQL, Power BI

Visualization Github
Employee Job Satisfaction
Employees Job Satisfaction

Tools: Excel, SQL, Tableau

Visualization Github
Churn Analysis
Churn Analysis

Tools: Python, Excel, SQL, Power BI

Visualization Github

PUBLICATIONS

  1. Noé Carème Fouotsa Manfouo, Linke Potgieter, Andrew Watson, Johanna H Nel (2023). A Comparison of the Statistical Downscaling and Long-Short-Term-Memory Artificial Neural Network Models for Long-Term Temperature and Precipitations Forecasting. Atmosphere 14 (4), 708. Link
  2. NC Fouotsa Manfouo, D. Von Fintel. (2022). Investigating the effects of drought and lockdowns on smallholder and commercial farming agricultural production in KwaZulu-Natal using remotely sensed data. Heliyon 8 (11). Link
  3. Noé Carème Manfouo Fouotsa, Ruth Ndjaboue & Gerard Ngueta (2024). Race/Ethnicity and Other Predictors of Early-Onset Type 2 Diabetes Mellitus in the US Population. Journal of Racial and Ethnic Health Disparities. Link
  4. Noé Carème Fouotsa Manfouo. (2024). Monitoring commercial and smallholder production inequalities during South Africa's lockdown using remotely sensed data. Agrosystems, Geosciences & Environment 7 (1), 1-10. Link
  5. Noé Carème Fouotsa Manfouo et al. (2024). Temporal trajectories of type 2 diabetes complications from inpatient data collected from 2006 to 2021 at Centre Hospitalier Universitaire de Sherbrooke (CHUS). Link
  6. Noé Carème Fouotsa Manfouo et al. (2024). Application of classification models on Sentinel-2 images and tree stands shapefiles for invasive alien trees mapping in the Overberg region in South Africa, Geosciences & Environment 7 (1), 1-10. Link

Services

Dashboard Development

Design, develop, and maintain interactive and insightful dashboards.

Data Analysis & Reporting

Perform advanced statistical analyses to uncover patterns and trends in datasets.

Web Application

Build and deploy machine learning-based applications.

Training & Consultation

Provide training and consulting to enhance data literacy.

Custom Data Solutions

Develop tailored data solutions to address specific business needs.

Research Support

Provide data analysis support for academic research and publications.

Contact Me

noecaremee@gmail.com

+14383721711


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