I enjoy cooking. It can be a good way to wind down after a day of work, and for recipes I know well switch on auto-pilot. But that’s only once I’ve decided what to cook. I don’t enjoy deciding what to cook. Laying out a meal plan, day by day Read more…
That’s a wrap for semester 1 of my MSc Operational Research with Data Science programme. I sat the last of my four exams yesterday afternoon; what better time to reflect on the previous 14 weeks. Why an MSc in Operational Research? It’s been 4 years since I graduated from the Read more…
With 4 years of analytical work experience under my belt, I am pleased to be taking the opportunity to return to uni. Starting in September, I’ll be taking on an MSc in Operational Research at the University of Edinburgh. I’m choosing to work on this Masters degree to build further Read more…
Data Analyst: A person who scrutinises, cleans, transforms, models and presents data to uncover useful information and support decision-making. Over the last 18 months, I have completed my Data Analyst Level 4 apprenticeship, achieving grade distinction. I developed coding skills in Python and SQL and used these tools, amongst others, Read more…
In this post, I share how I used Python to simulate games of Bingo, and experimentally produce the distribution of wait time before a full house is reached. This approach is similar to my exploration of Monopoly last Christmas. Friday Night Bingo Deep into Lockdown 2.0, our friends had long Read more…
In this post, I explore my attitudes towards the office and its role in a post-pandemic world. For billions of people around the world, 2020 has turned expectations of the working environment upside down. Like millions of others, I have been working from home (WFH) as a rule, only visiting Read more…
The global pandemic has brought with it redundancies across the market. Some roles are more at risk than others. Businesses are streamlining operations, homing in on key projects and activities which add the most value and doubling-down on customer experience. Lockdown has changed how customers shop, and retailers need to Read more…
In this post, I describe how the mathematics of modelling the spread of disease can be applied to the problem of the transition of customers between RFM segments. I use SciPy’s ODE numerical routine in Python and fit models to synthetic data. Context: Covid-19 has blighted countries and industries across Read more…
In this post, I write in reflection of the Machine Learning course I finished this week, and demonstrate how I was able to use some of this content to build a more accurate regression model for predicting house prices. Machine Learning Course Andrew Ng’s Coursera Machine Learning course is widely Read more…
In this post, I write about the development of dashboarding skills in the Microsoft Power BI interface. Introduction With the continuation of lockdown, I decided to complete an introductory course on Power BI. It’s a tool my colleagues use to produce and share reports, and one which I thought would Read more…