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Chris Ayyildiz

Data Analyst with Machine Learning Experience
Hi, my name’s Chris. I’m a data analyst with 3+ years of professional and project-based experience in deploying production-ready analytical solutions with clear business outcomes. I’ve set up this site to support further reading into my projects beyond the constraints of my CV. You can find most of my work below.
12
Projects
3+
Years Experience
19+
Technologies
7
Certifications

Data Analytics Projects

8 Projects
Project 1

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.

Python Pandas Streamlit Plotly
View Project GitHub
Project 3

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.

Airflow Asyncio REST API Streamlit
View Project GitHub
Project 4

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.

Jupyter Notebooks Python Pandas Plotly
View Project
Project 5

Web User Behaviour Analysis

Simulated 100K+ web sessions using Python and Faker to analyse web behaviour, identifying patterns in engagement, session metrics, and conversion. Fully containerised for rapid reuse.

Python Streamlit Plotly Docker
View Project GitHub
Project 6

NYC Taxi Demand Analytics

This project analysed over 1.2 billion NYC Yellow and Green Taxi trip records to practice using large scale cloud tools for data analysis. Key outcomes for the project 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. The project used the GCP as part of Google's Machine Learning Engineer Pathway.

BigQuery Cloud Storage dbt Looker Studio
Project 7

KPI Tree (NHS Metrics)

Real-time NHS provisional care quality KPI board to track performance status. Utilises web-scraped data and recent public databases to collate KPI data in a React dashboard.

Beautiful Soup PostgreSQL React ETL
View Project
Project 7

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.

Python GeoPandas Plotly Mapbox
View Project
Project 7

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.

Google Earth Engine Kepler.gl QGIS GeoPandas