
Quality Control specialist transitioning into data science. Passionate about leveraging Python and SQL to uncover valuable, actionable insights from data.
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Assessing your cultural and operational fit
customer-support-chatbot
September 29, 2025 – September 29, 2025
This repository contains a Customer Support Chatbot powered by a Large Language Model (LLM). It can understand user queries, categorize them to technical, billing, or general, analyze sentiments, and provide context-aware responses.
View Projectmultimodal-ai-agent
September 29, 2025 – September 29, 2025
This repository contains a multimodal AI agent powered by LLaMA 3.1-8B for natural language understanding, Stable Diffusion for image generation, and external knowledge integration from YouTube and Wikipedia to enhance responses and creativity.
View ProjectRAG-for-KenyanConstitution
September 22, 2025 – September 28, 2025
This is a repository for RAG-for-KenyanConstitution, which leverages a Large Language Model (LLM) to retrieve and explain sections of the Constitution of Kenya, 2010. Ask a question, and it retrieves the relevant article and presents it in clear, easy to understand language.
View Projectclustering-techniques-in-unsupervised-learning
September 18, 2025 – September 18, 2025
Customer segmentation using unsupervised learning on mall and online retail datasets
View Projectdata-visualization-insights-to-pca
September 9, 2025 – September 10, 2025
This repository explore an HR Dataset through data visualization techniques to uncover insights, followed by applying Principal Component Analysis for dimensionality reduction and deeper understanding.
View Projectlinear-regularized-models
September 3, 2025 – September 5, 2025
Understanding how the different regularization models affect linear regression
View Projectmachine-learning-models-comparison
September 2, 2025 – September 10, 2025
This repository shows a comparison of different machine learning models on performance metrics using AI assistant usage in student life dataset
View ProjectCultural Fit Analysis
The candidate's projects are all personal and primarily focused on academic or exploratory data science tasks. While demonstrating initiative, there is no evidence of team collaboration, project management, or experience in a professional organizational setting, which limits the assessment of cultural fit for a typical corporate environment. The projects align well with the technical aspects of a Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to conceptualize and execute data science tasks independently.