The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
FIFA World Cup 2026 – Data Analysis & Visualization
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
AI Advertising Video for BetGenuine
How do you capture the attention of football fans and communicate a brand's value through video?
Created an AI-generated promotional video for BetGenuine, a football prediction platform offering match predictions, football statistics and betting insights.
The project focused on creating engaging advertising content that introduces the brand, communicates its offering and captures the attention of its target audience.
Services:
AI Video Creation
Commercial Ad Production
Creative Direction
Video Editing
Project: Promotional Advertising Video
Brand: BetGenuine
Nice
The attendance management ui with the implementation of svg and html tag elements making use of live charts to enhance and display live updates.
How often do the charts refresh?
Road Safety Analysis | Python, SQL & Power BI
Developed an end-to-end road safety analytics project to help authorities understand accident patterns, identify high-risk areas, and make informed decisions about road safety interventions.
The project involved cleaning and preparing road accident data using Python and Pandas, followed by SQL-based exploratory analysis to investigate accident trends, casualty figures, severity distributions, and geographical patterns.
Using Power BI, I transformed the findings into an interactive dashboard featuring key performance indicators and visualisations that provide an overview of accident activity, highlight trends over time, and reveal differences in accident occurrence across districts and locations.
The analysis also explored accident severity in relation to road types, weather conditions, lighting, and road surface conditions.
Tools used: Python, Pandas, SQL, Power BI.
Project deliverable: An interactive Power BI dashboard supported by data cleaning, transformation, and SQL analysis.
The objective was to turn raw accident data into clear, meaningful insights that can support evidence-based road safety planning and resource prioritisation.
