Maureen Muthoni

Data Scientist

https://talent.gravityer.com/maureen-muthoni

Data Scientist in training ,skills in Python, SQL, ML, and visualization

Nairobi, Nairobi, Kenya

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with unsupervised clustering (K-Means) and end-to-end ML workflows.
Exposure to RAG systems and their application in tourism.
Familiarity with data preprocessing, model selection, and interpretation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily revolve around data science and machine learning, which aligns with a Data Scientist role. The diversity of project topics (healthcare, retail, tourism, general ML) suggests a broad interest within the field. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

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Projects

Healthcare_ML_Project

April 22, 2026 – Present

This repository implements a Healthcare Machine Learning Pipeline designed to automate the full lifecycle of data preparation, model training, and deployment. The system centralizes healthcare data in a PostgreSQL database, ensuring maintainability and consistency across workflows.

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Adaptive_Learning_Platform

April 9, 2026 – Present

Adaptive_Learning_Platform — repository

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Travel_and_Tourism_RAG_System

April 1, 2026 – Present

AI-powered tourism question answering system using RAG

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Kmeans

March 31, 2026 – Present

A practical approach to uncovering patterns using K-Means clustering

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RAG_System

February 23, 2026 – Present

How to build RAG systems

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Customer_Lifetime_Value_Prediction

February 22, 2026 – Present

Customer_Lifetime_Value_Prediction — repository

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Sales_Performance_and_Decision_Making

February 7, 2026 – Present

This folder contains the complete end-to-end statistical analysis of retail sales performance, examining the effectiveness of marketing campaigns on revenue generation.

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Iris_Dataset-

January 26, 2026 – Present

Performed unsupervised clustering on the Iris dataset using K-Means. Applied Min–Max scaling, determined optimal cluster count using the Elbow Method, and visualized cluster separation. Demonstrated end to end ML workflow including pre-processing, model selection, and interpretation.

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Hospital_Project

December 10, 2025 – December 10, 2025

Hospital_Project — repository

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Retail_Project

December 9, 2025 – December 9, 2025

Retail_Project — repository

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with unsupervised clustering (K-Means) and end-to-end ML workflows.
Exposure to RAG systems and their application in tourism.
Familiarity with data preprocessing, model selection, and interpretation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

Maureen Muthoni

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit