An introduction

I’m a junior Data Scientist/Economist/Data Analyst based in London. I’ve recently left my full-time job as an Economist working for an international consultancy and think-tank to give my undivided attention to learning back-end development and API building.

Over the last year and a bit, I’ve been working with various governments and large international agencies including the UN and WFP on all things data and analysis. But I have also had the pleasure of building web apps that aim to provide policymakers with the ability to simulate the benefits and required investment of social protection schemes. I realised that what I really love is making interactive data visualisation and simulation tools that are readily accessible to all. A couple of these are still in the final stages of development but hopefully, I will be able to share them with you soon.

I’d like to do more of these projects, but to do that, I’d need to learn more about backend development, API development and management, and working with live data (a lot of my current experience is with large household and individual level country datasets).

And thus we have this website!

As part of my personal and professional development, I will be documenting everything that I learn. I figured that the best way to do this would be to work through a project (I’m a big believer in learning by doing!). So I will be keeping you posted on two projects:

  1. Tracking air quality in my London flat over-time (using the PMS7003 air quality sensor and a raspberry pi)
  2. Creating an interactive tool to allow researchers to demarcate enumeration areas as proposed in this World Bank paper by S. Qader et al 2019 – this one will be a toughie but goodie so watch this space

All blogs/diary entries will be posted in the “Blog” section of this website, but feel free to get in touch by email or LinkedIn.

Enjoy šŸ™‚

Blog

Blog posts on projects go here

Building the POST and GET methods for my air quality sensor and harvesting the data from a script on my raspberry pi

This entry is part 2 of 2 in the series Air Quality Sensor Series

Air Quality Sensor SeriesAir Quality Sensor BlogBuilding the POST and GET methods for my air quality sensor and harvesting the data from a script on my raspberry piIn this blog piece, Iā€™m running through parts two and three together. The reason being is that I completed different parts of the two stages at the same …

DSF 2020: An Economist’s perspective on feature engineering with Feature-engine

This entry is part 1 of 1 in the series Data Science Festival 2020 Series

Data Science Festival 2020 SeriesDSF 2020: An Economist’s perspective on feature engineering with Feature-engine The 2020 Data Science Festival kicked off yesterday with a talk by Soledad Galli on feature engineering with Feature-engine, an open-source python library to assist with the streamlining of feature engineering pipelines. The library was created by Train In Data as …