Zack Akil

London, England, United Kingdom Contact Info
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About

London based machine learning engineer and educator with a background in full stack…

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Experience & Education

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Licenses & Certifications

Volunteer Experience

  • Organiser

    Central London Data Science Project Nights - Meetup Group

    - Present 7 years 11 months

    Science and Technology

    https://www.meetup.com/central_london_data_science/
    Organise and conduct practical data science meetups that encourage people of mixed skill levels to share knowledge and learn from each other in order to solve data science problems.

Publications

Projects

  • Primetext : Python text indexing package for NLP

    Derived and developed an algorithm for indexing text records using prime factors that is significantly faster than standard "string contains" searching techniques.

    See project

  • Mobile game for Android and iOS

    Designed and developed a rugby themed infinite runner game using Unity and C# as the scripting language. The ads within the game are handled by Google adMob Unity plugin. The entire project was a learning exercise targeted at game development. Both android and iOS versions of the game were published to their relevant app stores without any problems.

  • Mentored GCSE students in web development

    Initially I was only mentoring one student in the basics of created a static website. By the end of the week I was mentoring 3 GCSE students in web requests and debugging using a dummy vulnerable site set up on my own server space.

  • Leaver Ticket Automation

    Python web automation script which completes tickets relating to users needing to be removed from a specific system. Its'​ function is initiated via a system scheduler for complete automation.
    Its' development was purely my own initiative.

  • Premier League Predictor

    Wanting to take part in an office prediction league but having poor knowledge of football I developed a web automation Python script which took in a premier league match-up and fetched stats from the BBC sport website; then using that data would calculate a probable outcome. By end of the competition I finnished 6th out of 19.

  • SPAiCIAL.com : Abstract spatial data prediction API (FYP)

    -

    Designed and developed an API that uses fundamental implementation of machine learning along with a novel implementation of code that automatically cleans and builds training data for spatially related data points.

    The API was built using ASP.NET MVC API 2 framework with Microsoft SQL Server as the database platform. Microsoft Solver Foundation is used for non-linear optimisation within the logistic regression with Math.NET Numerics being used for the vectorised maths.

  • UK Parts Archive Site

    -

    Rapidly developed ASP.net MVC site which displays complex relationships between parts, sub-parts and manufacture processes using recursive controller and view logic.

  • UK HR Site

    -

    Design and development of all back-end and front-end using ASP.net MVC 4. The unique feature of this site being its' layered UI category interface on the home screen and its' No-SQL tagged document searching.

  • UK Training Site

    -

    Design and development of all back-end and front-end using ASP.net MVC 4. Used Microsoft SQL Server for storage. Site used nation wide to allow employees to browse, book and manage internal training courses.

  • COPAC Gate Timing System

    -

    Updated, funded version of the timing system I made for UPAC (Plymouth University Athletics Club). It has better wireless capabilities via serial transceivers and more accurate finish line sensor designed and made in-house. At the end of its development it was handed over to the City of Plymouth Athletics Club.

  • UPAC Gate Timing System

    -

    Designed to provide a track athlete with an accurate time in their event. It's development was completely un-funded and out of my own interest to see if I could make good use of some scavenged transceiver circuitry.

Honors & Awards

  • London Pebble Event Winning App

    Pebble

    Within the 4 days leading up to the event I developed a watch face that dynamically breaks down the time into a maths problem. The watch face was written in C++ and uses multiple random function calls in order to generate a unique problem every minute.

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