PhD in StatisticsProject title: Estimating livestock populations using Earth Observation and Machine Learning – a case study in East AfricaFirst year comprising various training modules:- Theory and applications of machine and deep learning frameworks- Time series analysis- Use of Earth Observation and GIS platforms for active and passive remote sensing; e.g. (In)SAR, optical, hyperspectral/hyperspatial data- Oceanography, cryosphere, geosphere, land trainingAcademy for PhD Training in Statistics (APTS) courses undertaken in:- Statistical Inference- Statistical ComputingLiterature review underway covering advances in:- Concepts in statistical ecology- Computer vision (segmentation, classification - i.e. for land use)- AI for data augmentation and satellite data enhancement (i.e. spatial-spectral, spatio-temporal fusion and single-image super-resolution)

Personal informal data science and visualisation blog. Variety of short/longer expositions on topics of interest to me, or that present surprising findings/a refreshing aesthetic, with some works due to other authors.- Design, development and maintenance of entire web app using PHP, MySQL, JavaScript/jQuery and HTML/CSS. Implemented infinite scroller functionality and recommender logic.- Integration with Google Analytics, Facebook Pixel and Graph API for funnel analysis, conversion tracking, comments section and striking presentation on social media platforms.- Ensured GDPR compliance and cookie consent.- Acquisition of open-source, public and own data for processing and presentation, principally using R.- I conduct record linkage and pre-processing mostly in PHP-CLI, Python or other scripting languages with intermediate storage in comma-separated values (CSV).- Image cleaning and editing using GNU Image Manipulation Program (GIMP), animations made using ImageJ.- Proactive marketing: A/B testing and ANOVA applied to strategies using Meta for Business, acquired 4.4k Facebook followers.

Blockchain-based dice-style game.- Researched market and developed a business strategy in a competitive niche.- Set an appropriate edge and maintained bankroll in a volatile asset.- Designed and implemented entire web app in PHP, MySQL, JavaScript/jQuery and HTML/CSS, utilising a DigitalOcean Cloud Droplet backend running Ubuntu 14.04.- Maintained SSL encryption certificates.- Integrated with Google Analytics for funnel analysis, as well as private conversion monitoring using session event logging and Google Charts.- Implemented a transition from email-based to session-based accounts to improve landing page attrition.- Implemented hot-wallet storage using Electrum CLI for automated deposits/withdrawals.- Used Python to construct a daemon to monitor Blockr.io blocks and interface with Coinbase API.- Offered secure accounts by developing a 2FA protocol with Twilio/Authy REST API.- Developed a live chat feature using AJAX short-polling, and provided customer support.- Mitigated SQL injection and DDoS vulnerabilities.- Negotiated with graphic designers to acquire promotional material and marketed the site in relevant fora and spaces, acquiring 10k accounts.- Responded to competitive pressure from other operators.

Researched and presented a selection of whiskies from around the world, coordinated and led committee activities and meetings, liaised with venues and suppliers, proactively networked across the University and on social media to promote the Society.