Hi! I’m Adrian.
Data scientist
& developer.

I ♥ data

Data is an exact thumbprint of the world's behaviour and psychology at any given moment.

With data, I get to know what the world is thinking and feeling and what it will do next.

Things I've done

AWS film shoot

I talked to Amazon Web Services about Carl, one of the awesome machine learning tools that we built at Airtasker.

Carl is an algorithm that classifies the tasks posted to the Airatasker platform. He’s named after Carl Linnaeus.

Google Street View API

Google’s API doesn’t allow you to download old images from Street View. So, I made a Python library to download old and new photos from Google Steet View.

Babies and cats

I used some fancy maths and Google trends to uncover relationships between people's online searches and their economy. I found out that U.S. states with higher rates of infant mortality Google for bad credit, loans, and information on sexually transmitted diseases.

I wrote a paper about it.

Coventry in data

I made a series of data visualisations bringing to life the city of Coventry from the UK census.

Shorter titles

I wanted to know if we can quantify aspects of academic writing that correlate with how a paper is received. I found out that scientific papers with shorter titles recieve more citations.

I wrote a paper about it. It made the front page of Reddit for a day. It was featured in:

Google data API

Analysing huge amounts of Google data is hard when you have to download it by hand.

I made a Python library to download Google data that’s protected by a login.

Robot races

I teach kids a crash course in programming Lego robots. Classes are for school years 6+. At the end, the kids race their robots against the clock through an obstical course using a combination of light and ultrasonic sensors.

Christmas lecture

I co-hosted a 2015 Christmas Lecture at the University of Warwick. The show was about robotics, and all the different parts that make a functioning robot, as well as the roles these robots now play in society.

Where I've spent my time

Airtasker helps you to realise the full value of your skills.

Senior Data Scientist
May 2017 - Present

I’m responsible for building the machine learning pipeline and algorithms at Airtasker. I've built systems to:

- Automate platform moderation. Many things posted to the platform do not fit with our community guidelines. We have a set of algorithms as our front-line defense removing undesirable content.

- Categorise tasks. Hundreds of thousands of tasks are posted to Airtasker. We automatically classify the to help our users find what they are looking for.

- Recommendation systems. Due to the shear volume of tasks on the platform, we use recommendation algorithms to help surface the right tasks to our users.

- Pricing algorithms. Understanding how much a task is worth is important for both sides of the transaction.

- Productionising machine learning algorithms. Developing an algorithm is only a small fraction of delivering a machine learning solution. Most of the battle is productionising the models in such a way that we can rely on them, monitor them, and push out updates quickly.

When you’re learning maths, Mathspace is the right help at the right time.

R&D Software Engineer & Data Scientist
September 2016 - May 2017 (9 months)

I built tools to help Mathspace understand their data and create more value for their customers and the company. I developed the next generation of adaptive learning algorithms to further automate the learning experience. Kids are now learning independently.

Data Scientist
May 2014 - June 2016 (2 years 2 months)

I used online data such as Google search logs to predict real world behaviour like future stock prices. Highlights include:

- Engineered software on a Python/Javascript/HTML/CSS stack to predict future student numbers of the Warwick Business school and improve business operations.

- Engineered various web tools in for business stakeholders to analyse large datasets.-Lead the development or had a hand in developing any software that was used outside of our team.

- Created a multitude of data visualisations and infographics to showcase my own work and the work of the team.

Ph.D. Student
2011 - 2013 (3 years)

I developed a rigorous mathematical framework for traditional methods of trading. I used statistical analysis to dissect and understand how the methods generated profits.

Let's talk

I'm interested in awesome projects, speaking gigs, or just chatting about data science & machine learning.

me@dradrian.com
Crafted with passion by me