Resume

Education

2023 - Current

IU International University of Applied Sciences

M.Sc. Applied Artificial Intelligence

2012 - 2015

Jomo Kenyatta University of Agriculture and Technology

Bachelor in Business Information Technology

Relevant Experience

Oct 2021 - Oct 2023

Cellulant

Data Scientist - Growth & Product Analytics

  • Drove substantial financial growth by analyzing data, achieving significant CMGR for revenue and payment value.
  • Led initiatives to improve data accuracy and integrate marketing data from multiple sources, resulting in a 95% accuracy improvement.
  • Through user segmentation analysis, I identified key behaviors among valuable customers and created targeted marketing campaigns that increased the retention rate to 40%.

 

Data Analyst

  • Proficiently designed and implemented real-time dashboards and reports using Oracle BI tools to provide
    valuable insights on payment trends and customer behavior, supporting strategic planning and informed decision-making.
  • Developed predictive models for customer churn analysis with Oracle Business Intelligence tools, resulting in a significant 15% reduction in customer churn and informing effective retention strategies.
  • Ensured data accuracy and efficiency by executing data cleansing and transformation tasks, optimizing data-driven insights in the warehouse for improved speed and accuracy.

Mar 2021 - May 2021

She Code Africa

Data Science Fellow

  • Devised and deployed predictive models leveraging machine learning algorithms, driving data-informed business decisions.
  • Implemented and trained multiple machine learning models on diverse datasets, enhancing predictive performance.
  • Analyzed and visualized data to uncover insights and trends in global suicide rates, effectively communicated findings to peers, and published an analysis article on Medium.

Feb 2020 - Jul 2020

Predictive Analytics Lab

Data Science Trainee

  • Effectively communicate key insights to non-technical colleagues, facilitating cross-functional collaboration.
  • Transformed well-defined business problems into new projects, identifying key issues, clarifying scope, and shaping the necessary analysis to deliver insights.
  • Completed 3 data science projects, including building a predictive model to identify loan defaulters and analyzing employee churn using logistic regression.

May 2019 - May 2020

Tsebo Solutions Group

Business Development Manager - Kenya

  • Developed strategic recommendations based on findings, resulting in a 67% increase in sales within the under-performing service lines.
  • Presented detailed reports and presentations to senior management, effectively communicating the research findings and proposed business development strategies. 
  • Led the successful implementation of a new CRM strategy (Salesforce) that improved tracking and reporting on business development efforts to senior management, resulting in a 30% increase in visibility and alignment across the team.

General Skills

  • Statistical Analysis
  • Data Manipulation and Analysis
  • Machine Learning
  • Data Visualization
  • Big Data Technologies
  • Problem-Solving
  • Domain Knowledge
  • ETL Process

Coding

  • Python
  • SQL
  • Git

Frameworks

  • CRISP-DM
  • Scikit-learn
  • TensorFlow
  • XGBoost

Data Visualization

  • Oracle Business Intelligence Enterprise Edition
  • Microsoft PowerBI
  • Tableau
  • Amazon QuickSight
  • Looker Studio

Database Management

  • MySQL
  • Oracle SQL Developer
  • PostgreSQL

Cloud Computing

  • Oracle Cloud Infrastructure
  • Microsoft Azure

Licenses & Certificates

Featured Projects

Customer Lifetime Value Prediction

Predictive model developed to measure a retail customer's total value to a business over time, helping determine profitability and predict future profitability.

Bank Customer Churn Analysis & Prediction

Developed a predictive model to anticipate customer churn at a bank by analyzing data, identifying contributing factors, and improving customer retention strategies.

Product Analysis Dashboard (Virtual Card)

Led a collaborative effort with product developers and data engineers to create a virtual card analysis dashboard at a FinTech Startup.

Predict Employee Churn

Created a model that predicts employee turnover in an insurance company, allowing for proactive retention strategies.

iX Mobile Banking Prediction

Developed ML model for African mobile and internet banking usage prediction to improve customer experience by analyzing habits.

Data Quality Enhancement: Marketing Operations

Developed and automated a data cleansing and harmonization project that enhanced data accuracy and integrity across diverse marketing operations data sources for a FinTech Startup.

Taxi Upfront Pricing Precision

Improved taxi app accuracy with added pickup/drop-off locations to ensure better ride cost estimate in upgraded version.

E-Commerce Analytics

Predictive model developed for e-commerce gender. Enables personalized marketing for improved targeting and sales.