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Public Service Pensions Fund
Data Scientist
June 29, 2026 – Present
ictazNotice
December 16, 2024 – December 16, 2024
A simple, responsive web application built with Flask and Bootstrap to display an important notice for ICT Association of Zambia (ICTAZ) members regarding the registration system.
View ProjectndineBudgetor
December 8, 2024 – December 17, 2024
A personal finance tracking web application built with Flask and Bootstrap.
View Projectictaz-2023_ai_training_resources
August 30, 2023 – August 31, 2023
This repo contains resources for the ICTAZ 2023 AI training sessions presented by Prof. Douglas Kunda, a Systems Specialist serving as Vice Chancellor at the ZCAS University. He holds a Doctor of Philosophy (PhD) in Computer Science from the University of York, United Kingdom. He is a Fellow of the ICT Association of Zambia (ICTAZ).
View ProjectDataSci-and-ML-Basics
March 13, 2022 – March 13, 2022
This repository contains code related to basics of data science and machine learning using Python.
View Project100DaysOfCode
December 4, 2021 – May 18, 2022
This repository contains all my solutions to the projects offered by Udemy - The Complete Python Pro Bootcamp...
View ProjectstartingOutWithJava
March 21, 2021 – February 20, 2022
A collection of my java solutions for programming challenges, provided in the book startingOutWithJava by Tony Gaddis 7/e.
View ProjectpythonForDataScience
March 21, 2021 – February 13, 2022
Repository containing all my python code related to data science.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and skill development, which aligns with a growth-oriented culture. However, the projects are predominantly personal and lack evidence of team collaboration or contributions to open-source projects, which could indicate a need for development in team-oriented environments. The target role is 'Data Scientist', and the candidate has a current role and several projects aligned with this, indicating a good fit for the domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a single work experience entry without detailed descriptions of collaboration, problem-solving, or communication in a team setting.