I have a PhD in Data Science from the University of Reading and have a strong interest in Artificial Intelligence. I have spent several years as a freelance consultant in Machine Learning and Data Science; building models and solving hard problems by using data across a range of industries. In 2014 I co-founded Datamind with three others, looking to design and deploy machine learning solutions in the sales/recruitment technology space. With expertise in Optimisation, AI, Sales and Strategy, Datamind provides intelligent, elegant solutions to unsolved complex business challenges. An example of this is Neuralead - a resource allocation engine which matches leads to agents with the highest propensity to convert them (using machine learning to determine what characterises the 'perfect lead' for each agent in an organisation) and allocates accordingly, maximising overall sales. Academic Publications: I currently have 4 conference papers published, of which 3 have won best paper awards at their respective conferences (see below for details). I also have a journal paper which is currently submitted pending review.

Chief Data Officer @ Datamind is a formed of experts from both sales and technology. We create products that increase sales revenue, cut costs and help with training through the smart application of cutting edge technology like machine learning and big data. Our latest product, Neuralead, aims to disrupt the B2C direct sales market by enabling optimal allocation of sales resources to agents. This enables Neuralead to increase sales behind the scenes without the need to change business process. Neuralead also offers a unique insight into agent performance, data quality and campaign effectiveness through machine learning. Find out more at http://www.datamind.london/. From October 2014 to Present (1 year 3 months) London, United KingdomData Science Consultant @ I have worked and am working with a range of clients to deliver data science solutions including: Machine learning classification - Working with a client to develop a new fraud detection product in the financial services domain, using deep learning classifiers alongside random forests to discover fraud schemes which could only previously found by expert auditors. Currently at beta development stage with several multi-billion multinationals as test clients. Data mining and knowledge discovery - provided a major UK retailer with analytical insight into their sales teams, creating data driven performance metrics on historical sales data. These performance metrics were used to create intuitive graphical visualisations which supported many dimensions and allowed members of the board to understand the regional, demographical and time dependant components of sales performance. Web scraping and Natural Language Processing - developed a tool for a recruitment firm which could extract the details of potential candidates from various sites and use natural language processing on their biography to determine their location and employer automatically (where possible). Image recognition - worked with an American client to develop an object recognition solution which could identify different types of terrain and residential buildings from hyper-spectral aerial images. From 2013 to July 2015 (2 years) PhD in Data Science @ My PhD looked at exploiting the properties of multidimensional spaces for encoding locality information. This is relevant to many fields (such as efficient indexing, dimensionality reduction, compression ect) but an interest in P2P Data Mining led to the problem of estimating latency within computer networks. My thesis presented a way of using non-euclidean spaces to more effectively estimate latencies at half the error rate of the current state of the art. From October 2010 to November 2014 (4 years 2 months) United KingdomProgramming Assistant @ A second summer internship at ISR saw me continue to work on creating android applications with other developers in order to demonstrate features of Hydra middleware. I also assisted in the creation of online learning resources associated with the project. From June 2010 to October 2010 (5 months) United KingdomProgramming assistant @ I worked a summer internship as a programming assistant for ISR research laboratories helping to create a display which showed how the Hydra middleware platform could be utilized to provide home automation. The display required creating and implementing Java applets on a desktop, an Android smart phone and a LEGO NXT brick via Blue-tooth. I was also required to design and build a scale model of a smart home and automate various aspects of it via actuators, RFID sensors and a webcam. From June 2009 to October 2009 (5 months) Quality Assurance Engineer @ I worked as a Software Tester at the Sony Broadcasting Products Research Laboratory in Basingstoke, on the HDxchange and Ziris applications being developed there. My job involved creating and following test scripts, analyzing error reports and guiding developers in how to reproduce problems. As part of the testing team I was required to give input every morning to senior developers about how they could improve the product From June 2008 to October 2008 (5 months) United Kingdom

Doctor of Philosophy (Ph.D.), Data Science @ University of Reading From 2010 to 2014 BSc (Hon.), Cybernetics and Artificial Intelligence, 2.1 @ The University of Reading From 2006 to 2010 Alex Allan is skilled in: PHP, Java, C#, MySQL, Linux, HTML, XML, SQL, JavaScript, Windows, Software Development, CSS, Microsoft SQL Server, .NET, AJAX