Data Scientist

R&D for own consultancy. ​(SKLearn, CPython; Django contributor)
​ AI training & conference attendance ​(London AI F inance Summit, CogX, San Francisco Applied AI Conference)
Mentor for Coursera Machine Learning online course.

Android app development for mathematical puzzle game ​(Java, Cordova, Python, Numpy, Javascript, PhaserJS)

Design and development of automated store ordering system (Python, Numpy, Pandas, SciPy, Sklearn, Statsmodels). Customer demand forecasting and optimisation of supply chain        operations. Design of scalable and adaptable supply chain system; 20 million stocking points processed daily. Fully optimised automated driver scheduling system ​(Linear Programming, Python PuLP). Optimised labour subject to numerous constraints such as driver contracts and forecast        demand.

Analytics innovation team lead. Development of new team roles, hiring process and training programmes Created customer forecasting model and web front-end for use by operations and marketing teams. ​(R, Python, HTML,  JavaScript, PostgreSQL) Developed picking algorithm ​(operational research algorithms inc. bin packing, real world path finding, Python) – c.£20M          labour saving. Created agent based simulation tool to enable rapid testing of  new algorithms. ​(Python) Developed real time, browser based animations of simulations, 3D models of the store layout and interactive charts. ​(Python, HTML5, WebGL, Three.js)  Project managed in-store picking project (c.£15M), amongst other projects.

Developed real-time, in-browser, web conferencing software (AWS, Java, AS3, Flex, MySQL, JavaScript) Implemented full-stack including Amazon media servers, and administration systems for accounting, and customer & client management. Managed overseas and out-sourced software engineers. Fostered relationships with learning institutions to provide  improved customer and client infrastructure.