Data & Cloud Engineer | AI & Machine Learning, NLP, Text Analytics, Business Analytics, Research & Tech Policy
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine-Learning-Zoomcamp
August 16, 2025 – November 9, 2025
Machine-Learning-Zoomcamp — repository
View ProjectSurvey-Analysis
October 7, 2024 – October 7, 2024
This repo contains notebooks used for analyzing survey responses and KII for Shaping Digital Rights & Security Curriculum for CSOs in Uganda
View ProjectForecasting-Stock-Prices-Using-ARIMA
July 22, 2024 – July 23, 2024
Forecasting-Stock-Prices-Using-ARIMA — repository
View ProjectSentiment-Analysis-Topic-Modeling-of-Social-Media-Data-Using-NLP-Deep-Learning-Techniques
June 4, 2024 – November 20, 2025
Text & Unstructured Data Analytics
View ProjectPredicting-Customer-Churn-Using-Machine-Learning
June 4, 2024 – July 8, 2024
Predictive & Optimisation Analytics
View ProjectCar-Price-Prediction-Using-Machine-Learning
April 2, 2024 – April 2, 2024
Car-Price-Prediction-Using-Machine-Learning — repository
View ProjectPredicting-Diabetes-Outcome-Using-Machine-Learning
April 2, 2024 – April 2, 2024
Predicting-Diabetes-Outcome-Using-Machine-Learning — repository
View ProjectDatasets-for-Data-Science
January 23, 2023 – December 10, 2024
Datasets-for-Data-Science — repository
View ProjectFinancial-Analysis-Using-Python
December 14, 2022 – December 14, 2022
I conducted a Python financial analysis on an S&P 100 dataset by applying my Python skills to filter lists, summarise sector data, plot P/E ratios in histograms, visualize financial trends, and identify outliers.
View ProjectCultural 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 ML applications (finance, customer churn, NLP, healthcare) indicates a broad interest within the field. However, the projects are all personal and lack details on collaboration or real-world impact, making it difficult to fully assess cultural fit in a team or corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.