Ken Mbelenzi Mbaya

Nairobi, Kenya

Bachelor Of Business Information Technology

A data enthusiast with experience in Python, Data Science, Machine Learning, Data Analytics and Data visualisation. I enjoy learning new things and using my knowledge in statistics and analytics to help solve problems. I am always looking for new opportunities that will challenge me to utilise my current analytical skills and knowledge, and help me to further develop my skills, as well as acquire some new ones in a practical and fast-paced environment.

I believe that Africa has a lot of unsolved problems that need data driven solutions, and for this reason I made it my goal to become an expert in Data Science. In 10 years I hope to have my own consulting firm based in Africa where I will be developing data driven solutions to our unique problems.

GitHub

Blog

Projects

Bank Customer Classification Model

This project was about creating a machine learning model that would predict which customers would subscribe to a banks monthly term deposits. I got the chance to use different machine learning models and compare which performed better. A blog about the project can be found here.

A/B Testing Advertisements

In this project I used A/B testing to test two different advertisements and choose which one performed better.It was a great learning experience since I was able to get an exposure to the application of A/B testing using bayesian statistics and bayesian bandits.The code to the project can be found here.

Covid-19 Predictions(South Africa)

In this project I worked in a team whose goal was to extend a model created by Priesemann-Group and apply it to South Africa.The code and findings can be found here.This was an exciting challenge for me since I got to work with a team to achieve a goal.

More Projects

Education

Masters in Management, Q Institute

Thesis:

Relevant Course Work:

Strategy
Finance
Marketing
Leadership

Bachelor of Business Information Technology, Strathmore University

Specialization : Business Intelligence

Relevant Course Work:

Business Intelligence
Object Oriented Programming
Web Developement and Security
Mobile Application Developement
Database design

Data Science, 10 Academy

A three month data science training whose main aim was to provide relevant skills to be a job ready data scientist. I worked on solving different real world problems and data science projects using Data Analysis and creating machine learning models.

Work Experience

InDomo,a WPP Company

Data Analyst 2022 - Present

Analysing marketing campaign data to identify optimization opportunities and improve clients Return On Investment.
Developing and maintaining Power Bi Dashboards used to track website performance and omnichannel campaign performance for different clients
Conducting sentiment analysis on brands social media platforms by analysing comments to provide actionable insights for improving client services and products
Conducting customer segmentation using machine learning to identify distinct groups within Salesforce CRM systems and tailor marketing strategies accordingly.
Maintaining ETL piplines using dbt for data being used in the organisation.

Nobel Explorers

Course Developer and Facilitator 2021 - 2022

Led a team of 4 in Developing an Introduction to Data Science course that was taught to more than 1000 learners worldwide
Developed a Time Management Course that was taught to over 100 students in Ukraine
Facilitating and leading classes in Data Visualisation, Data Science, Machine Learning and Soft Skills
Revamped data visualisation course

African Airlines Association

Data and Statistics Intern 2021 - 2022

Assist in data gathering
Conduct relevant literature reviews to identify data sources, select relevant data, define variables and analytic methods
Assist in performing and documenting procedures for data preparation including data cleaning and standardization
Developing, managing and improving databases
Developing algorithms for analysing and presenting data
Assisting in producing periodical reports

Tarime Suppliers Ltd (Data Analyst) Nov 2020- Present

Collecting sales data and cleaning it
Developing and maintaining predictive models for sales and raw materials
Creating monthly reports to track various kpis
Analysing data to come up with new insights for the company