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Chris Ayyildiz
I’ve created this site to showcase my work beyond the limits of a CV. You’ll find data cleaning, processing, dashboards, API work, and analytics below:
Data Analytics Projects
8 Projects
Live Funnel Analysis
Simulates live e-commerce user activity through an interactive funnel to monitor, visualise and improve user conversion pathways. The project features a real-time ETL pipeline and an interactive dashboard to identify potential drop-off points.
Access Transport
Automated ETL pipeline identifying live TfL accessibility disruptions via their unified API. Ingested data is processed with Airflow and outputted to a Streamlit dashboard enabling users to find relevant real-time accessibility issues.
VISA Climate Hackathon
Worked with a 500k+ row dataset of anonymised transactional data to identify trends in fast-fashion spending. I mapped spending to carbon footprint estimations using gov.uk conversion factors and resolved significant mismatches in column entries.
Web User Behaviour Analysis
This project simulated 100K+ web sessions using Python and Faker to analyse website session behaviour and identify patterns in engagement, session metrics, and conversion. The work builds on my previous conversion funnel and is fully containerised for rapid reuse.
NYC Taxi Demand Analytics
This project analysed over 1.2 billion NYCTaxi trip records to practice using large scale cloud tools for data analysis as part of the Google ML Eng. Pathway. Key deliverables included a peak demand heatmap spaced across time periods, revenue per mile trends throughout the past five years, pick up cluster spots, and trip duration anomalies.
KPI Tree (NHS Metrics)
A live KPI dashboard bringing web-scraped data and reports together to display NHS provisional care quality statistics in a centralised space. The solution updates live and aims to demonstrate the correlation between upstream issues (e.g., staff shortages) and their impacts across KPIs.
UK House Price Change (1995-2024)
Visualises data from the England & Wales Land Registry Price Paid dataset on a regional scatter heatmap across 2024 and 1995 identifying areas with the largest percentage increase in value, and the best areas to purchase today utillising correlating factors (IMD).
Global Urban Heat Island Visualisation
This project visualised the significance of the Urban Heat Island (UHI) effect across global cities over the past three decades. I used LST data and urban boundary shapefiles to generate an clear heatmap graph comparing cities to their rural surroundings.
