Hi, I'm Wesley Omoke

I'm a data analyst with a passion for turning complex data into actionable insights.

Wes

About Me

My Journey

My journey into data analysis began unexpectedly during my first role as a loan officer. There, I regularly analyzed clients' credit scores, seeing firsthand how raw data could be transformed into powerful insights that directly informed critical financial decisions. Witnessing this real-world impact ignited a passion within me; I knew then that data analytics was the path I was meant to follow.

Skills & Expertise

Since that pivotal experience, I've immersed myself in the field through intensive self-directed learning and hands-on projects. As a final-year student at JKUAT, I've cultivated a robust skill set, including Python (with expertise in its core data libraries), SQL, MySQL, and PostgreSQL. I thrive on leveraging data structures and algorithms to extract meaningful patterns and build scalable solutions.

My Approach

My analytical mindset, combined with a commitment to continuous learning, drives me to turn complex data into clear, actionable insights. I'm excited about the potential of data to revolutionize industries and am actively seeking an entry-level Data Analyst opportunity to contribute to impactful projects that harness the power of data to create positive change.

Explore My Work

You can explore my work and see my analytical approach in action through the various portfolio projects available on this website.

View Projects

Technical Skills

SQL

SQL

Database management and complex query optimization

Python

Python

Data analysis, automation, and machine learning

Tableau

Tableau

Interactive data visualization and dashboards

Excel

Excel

Advanced data analysis and financial modeling

Work Experience

WRSC

ICT Intern

Warehouse Receipt System Council

May 2024 - Aug 2024

Nairobi, Kenya

  • Demonstrated technical skills and administrative abilities
  • Carried out maintenance research and prepared reports
  • Provided timely technical support and resolved queries
  • Actively participated in project development

Loan Officer

Mboleko Limited

Nov 2022 - Mar 2023

Nairobi, Kenya

  • Analyzed credit scores of loan applicants
  • Analyzed loan disbursements
  • Maintained client records
Fintech Frontiers

Volunteer Researcher

Fintech Frontiers

Jun 2022 - Aug 2022

Nairobi, Kenya

  • Collected data and participated in its analysis
  • Supported Fintech Frontiers' initiatives

Education

JKUAT Logo

BSc Computer Technology

Jomo Kenyatta University of Agriculture and Technology

2021 - 2025

Nairobi, Kenya

Bachelor's Degree in Computer Technology

ALX Africa Logo

ALX Data Science

ALX Africa

June 2025 - September 2026

Data Science Program

Applied Data Science Logo

Applied Data Science

WorldQuant University

August 2024 - September 2024

Professional Certificate in Applied Data Science

Google Data Analytics Logo

Google Data Analytics

Google - Coursera

September 2024 - November 2024

Professional Certificate in Data Analytics

Certifications

Applied Data Science Logo

Applied Data Science

WorldQuant University

Professional certification in applied data science concepts and methodologies

Alteryx Machine Learning Logo

Machine Learning Fundamentals

Alteryx

Industry-recognized certification in machine learning fundamentals.

Cisco Data Science Logo

Introduction to Data Science

Cisco

Industry-recognized certification in data science fundamentals

Google Data Analytics Logo

Google Data Analytics

Google - Coursera

Professional Certificate in Data Analytics

AWS Educate Logo

AWS Educate Introduction to Generative AI

Amazon Web Services Training and Certification

Credential for foundational knowledge in Generative AI

Enterprise Design Thinking Logo

Enterprise Design Thinking Practitioner

IBM

Credential for Enterprise Design Thinking skills

My Projects

Netflix Customer Churn Dashboard

Netflix Customer Churn Analysis

This repository contains a comprehensive analysis of Netflix customer churn, identifying key drivers and providing data-driven recommendations to improve customer retention.

Data AnalysisChurn
Superstore Analysis

Superstore Analysis

This project provides a comprehensive analysis of the Superstore's sales data using Microsoft Excel. The goal is to uncover insights into sales performance, profitability, and customer behavior across various dimensions.

ExcelSales Analysis
Data Cleaning with Excel

Data Cleaning with Excel

Welcome to my Data Cleaning project! This repository demonstrates how a messy dataset can be cleaned and transformed into a well-structured, analysis-ready format using spreadsheet tools and logical functions.

ExcelData Cleaning
India Staff Data Analysis

India Staff Data Analysis

This project performs an in-depth analysis of a staff dataset from a company in India. The primary goal is to derive insights into the company's workforce by examining key metrics related to demographics, compensation, and performance. The analysis is presented through two interactive dashboards: one for a company-wide overview and another for detailed departmental analysis.

ExcelDashboard
London Bikes Analysis

London Bikes Analysis using Excel

Analysis of London bike sharing data using Python and Pandas for insights into usage patterns and trends.

PythonPandas
Psychology Analysis

Psychology Analysis

Data analysis of psychological patterns using Python and Pandas for statistical insights.

PythonPandas
Bike Store Analysis SQL

Bike Store Analysis using SQL

Comprehensive SQL analysis of bike sales data, including customer insights, sales performance, and inventory management.

SQLData Analysis
Danny's Diner Case Study

Danny's Diner SQL Case Study

Interactive case study analyzing customer behavior, menu preferences, and loyalty program impact using SQL.

SQLBusiness Analysis
British Airways Analysis

British Airways Reviews - Tableau

Comprehensive analysis of customer feedback and booking data to improve service quality and customer satisfaction.

PythonData Analysis
E-commerce Analysis

Linear Regression on E-commerce Data

Predictive modeling of e-commerce sales using linear regression to forecast future trends and customer behavior.

PythonMachine Learning

Get in Touch

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