I'm a data professional with a background in data analysis, analytics, data science and data story telling. I enjoy using data to solve business problems and to make insight more accessible. Technologies I enjoy working with include Python, Big Query (GCP), Google Analytics (GA4), Looker Studio, Power BI, TensorFlow, most common data science/analysis libraries, Linux and many, many more. Here are some of the most interesting projects I've done either for work or personally:

• San Francisco SQL Dashboard - a PowerBI dashboard based on the San Francisco Bike dataset in Big Query
• Causal Impact Testing - a way of testing incremental changes to web or marketing activity using statistics if you have limited data
• Search Demand Forecasting - forecasting customer demand using Google Trends data as a proxy using different approaches
• House Price Analysis - a regression analysis of housing prices using a common Kaggle dataset of housing prices
• GA4 Implmentations - measurement plan templates and best practice framework documents for GA4

• Reverse Engineering Google Pagespeed - a machine learning approach to understanding Google Page Speed for top web queries
• Ethical Recognition of Potential Loan Defaults Through Machine Learning - a classification problem using a common dataset
• Keyword Classifier - a pre-ChatGPT project to show how machine learning can be used to classify keywords

• How to build a Search Engine - a rudimentary attempt to build a search engine using a simple model pre-ChatGPT
• Technical SEO Framework - a technical SEO best practice audit & measurement framework based on SEMRush