Richard Stanton

Data scientist working on regression modelling strategies for sporting events, based in Basingstoke.

Recent Experience

(2019 – Present) Pythia Sports - Lead Data Scientist
I am responsible for a leading a team of data scientists in the design and application of predictive models within the sports sector. I have experience with machine learning and traditional statistical techniques in both research and production capabilties. My responsibilities include numerical analysis and the full life cycle of the modelling process comprising data collection, feature engineering and model validation through to production and operation.
From a management perspective I am responsible for specifying our modelling roadmap to fit business goals, advising on future project direction and hiring processes, reporting to stakeholders and creating business proposals with external clients on potential partnerships.
My recent management contributions include:

• Changed team management structure to Agile SCRUM
• Speed up work efficiency by large amounts
• Switching codebase from Matlab to Python
• Started transitioning internal data centre VMs to AWS
• Moved to unittest driven commmits with continuous testing

(2016 – 2019) Pythia Sports - Data Scientist
Significant projects include:

• Scraping, joining and cleaning multiple large datasets
• Used multivariate outlier detection to speed up database mapping problems
• Moved our dev team to Git version control
• Automated live reporting tools including triggers for statistically significant deviations from expectations
• Made significant improvements to the infrastructure robustness of our production models
• Designed entire model analysis platform for creating, storing and comparing models
• Significant improvements to modelling features
• Changed our underlying production model distributions
• Changed the problem definition rather than improve on existing solutions which reduced our coefficient confidential intervals by a factor of 20. This allowed the move to elasticnet models and large improvements across our metrics

Eduction

(2012 - May 2016) Imperial College London - PhD Electrical & Electronic Engineering Research

• Speech and Audio Signal Processing Group. Supervisor: Mike Brookes
• Thesis: Robust Beamforming in the Presence of Channel Propagation Uncertainties - http://hdl.handle.net/10044/1/43535
• Interests include microphone arrays, beamforming, audio/speech analysis, reverberation, stochastic processes.

(2008 - 2012) Imperial College London - MEng Electrical & Electronic Engineering

• First class honours – 80%
• Thesis: “Optimal Estimation of Linear Filtering for Enhanced Listening”

(2002 - 2008) Sutton Grammar School

• A Levels: 4 As, GCSEs: 8 A*s, 2 As, 2 Bs

Other Experience

(2012 – 2016) www.richard-stanton.com - Freelance software design

• Created several Mac programs
  • Music and image processing based utility programs
  • Both free and paid for
• Created several plugins for the Chrome browser, many hosted open source on GitHub
• Created several small web-based apps
• Have received numerous mentions on international third party websites
• User base extends over 10,000 users and over 30,000 downloads
• Created websites for third parties

(June – September 2012) UBS Investment Bank – Group Technology Intern

• C# and MySQL software engineer, analysed large data on past trades

(December 2011) Cambridge Silicon Radio - Signal Processing Engineer

• Implemented algorithms in Matlab from academic papers, validated bit-level checks

(July – September 2011) ARM - Processor Division Validation Engineer

• Built memory level demos in C for an embedded real time test platform
• Computer architecture, RTOS design, debugging tools (SW & JTAG), Linux, VGA, uART

(June - September 2010) Imperial College London, Intelligent Systems and Networks Group - Wireless Research

• Produced complex signal algorithms, presented ideas to industry executives, extensive lab work, worked with a small team of PhDs
• Wireless communications, software defined radio, 3G, HSPA, turbo codes, QAM

(June 2009 – 2010) ParmarStanton - Founder

• Co-founded a web-based company to supply property information services
• MySQL and PHP backend

(June - September 2008) Thales Avionics - Hardware Engineer

• Produced several analogue systems both in a team and independently to strict deadlines and specifications for use on military aircraft

Tech Skills

• Matlab, Python (Pandas, Numpy etc.)
• Data cleaning and visualisation
• Statistics - regression modelling, machine learning, Bayesian statistics
• Git, SQL server, Jira/Confluence, Markdown

Awards

• Conference Best Paper Award - Audio Engineering Society Conference: 54th International Conference Audio Forensics, 2014.
• Awarded the UKESF Scholarship 2010-2012
• Awarded IET NEC Scholarship 2008-2012
• Awarded the Imperial EEE Maurice Hancock Scholarship 2008-2009
• Awarded Arkwright Scholarship 2006
• Awarded ICSM Colours from Imperial College Medial School for outstanding contributions to extra-curricular life

Interests

• Music
  • Played bass guitar and drums across multiple bands
  • Including managing and sound engineering for concerts, weddings, balls

• Basketball
• Athletics