Christian Iyalla | Data Analyst

Christian Iyalla

Data Analyst

Based in Birmingham, UK

About

Driven by a passion for problem-solving and data-driven insights, I embarked on a career transition from civil engineering to data science. Currently pursuing a master's degree in Construction Management at Aston University, I am eager to leverage my engineering expertise and data analysis skills to make a meaningful impact in the data world.

Skills

Projects

Google Data Analytics Capstone Project: Cyclistic bike-share case study

This project analyzes Cyclistic's bike trip data to identify usage patterns and preferences of annual members and casual riders. The goal is to help Cyclistic develop targeted marketing strategies to attract and retain both types of riders.

Consumer Behaviour and Shopping Habit: Market Analysis

Analysing the behaviour of consumers and shopping habit in other to provide marketing strategies.

UK Electricity Consumption Trends: 2013 vs. 2023 Analysis

A data analysis of the UK's electricity consumption, with a comparison focused on 2013 and 2023, exploring the impacts of energy policies and technology changes.

Strategic Insights from Digital Marketing Spend Analysis

In this project, I conducted a comprehensive analysis of February’s digital marketing efforts at Acme Corporation London to measure the Return on Marketing Investment (ROMI) and gain deeper insights into campaign performance, buyer behavior, and geolocation effectiveness.

TfL Santander (Bike) Cycle Usage Analysis

Analyzed 776,527 bike journeys in August 2023 using SQL and Tableau. Key insights include high-traffic routes in Central London, rental durations, and peak usage times. Findings support improvements in bike availability, infrastructure, and marketing strategies for sustainable urban transportation.

Education

2023

Google Data Analyst Certificate

Through the Google Data Analytics Certificate, I gained a strong foundation in data analytics, mastering key skills such as data cleaning, processing, and visualization. The hands-on coursework allowed me to become proficient with analytical tools like spreadsheets, SQL, Tableau, and R. I also learned to effectively analyze and interpret data to make informed, data-driven decisions, preparing me for real-world data challenges in entry-level analytics roles.