Ndunge Kitang'a

Data Scientist

https://talent.gravityer.com/ndunge-kitanga

Data Analyst | BI Developer

Nairobi, Nairobi, Kenya

Key Strengths

Demonstrated interest in data science and machine learning through various personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to different machine learning applications such as churn prediction, fraud detection, and recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects (e.g., customer churn, fraud detection, sentiment analysis, recommendation systems) suggests a broad interest within the data science domain. However, all projects are personal, and there is no information on collaborative work or team environments.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's projects indicate an ability to work independently on defined problems.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

atlas

November 4, 2025 – Present

atlas — GitHub repository

View Project

powerpesa

June 16, 2025 – July 10, 2025

This application is designed to track and analyze your Kenya Power (KPLC) electricity token usage using real SMS data.

View Project

silo

June 11, 2025 – Present

End-to-End retail analytics platform built to simulate how an actual hardware business operates. It models the full lifecycle of product movement — from procurement and stocking, to point-of-sale transactions, discounting, inventory adjustments, and profitability tracking.

View Project

Online-Food-Delivery-Profitability-Analysis

March 13, 2024 – April 30, 2024

This repository contains an in-depth analysis of the profitability factors in the online food delivery industry. The analysis encompasses various aspects such as delivery costs, menu pricing strategies, customer preferences, and revenue optimization techniques.

View Project

Threads-Reviews-Sentiment-Analysis

October 2, 2023 – October 9, 2023

This repository is dedicated to the sentiment analysis of reviews from Threads, a platform for sharing thoughts and opinions on various topics. Using natural language processing (NLP) techniques, the analysis delves into the sentiment expressed in user reviews to uncover insights and trends.

View Project

Credit-Card-Approval-Prediction

July 5, 2023 – July 16, 2023

Moringa School: DSF-FT4 Phase 5 (Project)

View Project

Movie-Recommendation-System

June 19, 2023 – June 21, 2023

Movie-Recommendation-System — GitHub repository

View Project

Customer-Churn-Prediction

May 17, 2023 – May 23, 2023

Moringa School: DSF-FT4 Phase 3(Project)

View Project

Credit-Card-Fraud-Detection-ML

May 1, 2023 – May 10, 2023

This project involves using machine learning techniques to build a predictive model for detecting fraudulent credit card transactions.

View Project

King-County-House-Sales-Analysis

April 20, 2023 – April 21, 2023

Moringa School: DSF-FT4 Phase 2 (Project)

View Project

Key Strengths

Demonstrated interest in data science and machine learning through various personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to different machine learning applications such as churn prediction, fraud detection, and recommendation systems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's projects indicate an ability to work independently on defined problems.

Ndunge Kitang'a

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit