Gerald Majoni

Accomplished Data Science Professional with extensive expertise in analyzing large datasets, building robust MLOps pipelines, and deploying scalable machine learning models using AWS SageMaker, Dagshub, AstroCloud, Apache Airflow, MLFLOW and Docker. Proficient in statistical analysis, machine learning algorithms, and data preprocessing, with a proven track record of delivering end-to-end machine learning workflows. Adept at leveraging actionable insights to drive business growth through cross-functional collaboration and innovative solutions.

Top Graduating Student MIT IDSS • 12/2024

Fourth Position - Shinkansen Hackathon • 12/2024

Average of 90% in Annual Performance Appraisal at Rwanda Embassy. • 07/2024

Part of Nedbank Best Branch Award Team twice in a row. • 08/2017

Project Research Mentorship (Project Management & Information Systems). • 05/2017

N.U.S.T Vice Chancellors Prize; Best graduating student in Department • 11/2014

MMC Capital prize 2014 for the best graduating student (Banking Department). • 11/2014

• MLOps Bootcamp with 10+ End-to-End ML Projects, Udemy, 01/01/25
• Fundamentals of Deep Learning, NVIDIA, 12/01/24
• Building RAG Agents with LLMs, NVIDIA, 07/01/24
• Rapid Application Development with Large Language Models (LLMs), NVIDIA, 01/01/24
• Applied Data Science Lab, WorldQuant University, 05/01/24
• Applied AI Lab – Deep Learning for Computer Vision, WorldQuant University, In Progress
• AI Career Essentials Program, ALX Africa, 04/01/24
• Cybersecurity Professional Certificate, Kaspersky, 08/01/23
• Lean Six Sigma Black Belt, Lean Six Sigma Global Institute, 01/01/18
• Enabling Technologies for Data Science and Analytics: The Internet of Things, University of Columbia New York, 05/01/17
• Knowledge Management & Big Data in Business, Hong Kong Polytechnic, 05/01/17
• Machine Learning for Data Science and Analytics, Columbia University, 04/01/17
• Statistical Thinking for Data Science and Analytics, Columbia University, 01/01/17

Recommendation System

• Built a recommendation system to recommend the best Amazon products to users.

View E-Portfolio

Predicting Potential Customers

• Identified which leads are more likely to convert to paid customers based on attributes of leads and their interaction details.

View E-Portfolio

Phishing Website Classification

• Deployed a phishing classification model using Docker and AWS ECR.
  GitHub Repository

Blog Generation Pipeline

• Developed a blog generation pipeline utilizing AWS Bedrock and Lambda.
  GitHub Repository

Text Summarization

• Built a text summarizer leveraging Hugging Face models and deployed it on AWS SageMaker.
  GitHub Repository

Wine Quality Prediction

• Deployed a prediction model using MLflow and Dagshub for quality assessment.
  GitHub Repository

Economic Trend Analysis Dashboard

• Created an interactive Grafana dashboard to analyze bilateral trade trends with SQL.

The Ambassador                                                                                          
Rwanda Embassy, Harare
+2638677008344

Mr. Vianney Karangwa
Rwanda Embassy, Harare
+263788660938, vkarangwa@minaffet.gov.rw

Mr. Peter Mukunga
Vashandi Holdings, Harare
+263773381501, mukungapeter@gmail.com

Mr. Simbarashe Dzvene
Nedbank, Harare
+263774749518, simbarashed@nedbank.co.zw

Mr. Kumbirai Chamunorwa
Orac Systems, Harare
+263773744649, kaybchamu@gmail.com

Bishop Dr. Tendai. D. Mutungamiri (Ophthalmologist)
Medical Specialists Center, Harare
+263 772279144

• MIT Alumni