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"I Developed An Automated Python Pipeline To Process And Categorize Over 1,000 Customer Reviews. Using The Pandas Library, I Built A Logic-Based Scoring System That Translates Raw Text Into Actionable Sentiment Insights, Helping Product Teams Identify Critical Issues In Real-Time."
The network for creativity
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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
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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.
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?
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