Opinions are my own and not the views of my employer. An expert in the field of data processing, data systems architecture and artificial intelligence. Always on the lookout for the "new cool" and ways to improve "the old". Self-declared programming language polyglot, a geek of computer security and all the "hacking" out there. Specialties: data mining, big data solutions, artificial intelligence, pattern and image recognition, solution architecture, software design and development, computer security.

Lead Data Scientist @ From October 2015 to Present (3 months) London, United KingdomHead of Data Science @ Developing the company strategy for Data Science. Managing a dedicated team of data scientists and mentoring analysts across the organization. Customer analytics including: Customer Segmentation and Profiling (RFM, Bayesian modelling), Customer Lifetime Value (segmentation, Pareto/NBD), Churn detection (survival analysis, logistic regression), Product Recommendation (association rules mining), designing a Single Customer View. Econometric Marketing Mix Models for digital and TV campaigns. Forecasting and monitoring business performance. Marketing optimization algorithms (Bayesian inference) Customer choice modelling for dynamic product ranking (large scale logistic regression on Apache Spark). Serving as one of the Product Owners and Subject Matter Experts in a company-wide Data Warehouse project. Working with R, Python, MC-Stan, Amazon Redshift and Apache Spark. From October 2014 to September 2015 (1 year) London, United KingdomLead Marketing Data Solutions Architect @ Design and development of a marketing data warehouse in Amazon Redshift to store transactional records, click streams, marketing channel attribution logic and marketing costs. Assessing various Big Data platforms for use in marketing analytics. Working with the CRM team on selecting a new campaigning tool and designing a customer data infrastructure. Managing a team of skilled developers tasked with building custom ETL scripts and data tools in python, bash, perl and ruby. Supporting the reporting team in dashboard creation using QlikView. Building cross-sell and up-sell models using association rules mining. Designing a three-level reporting structure to fulfil the needs of Executive, Director and CXO-level stakeholders. From April 2013 to September 2014 (1 year 6 months) London, United KingdomPrincipal E-Commerce Marketing Analyst (Predictive Analyst) @ Using statistical analysis and artificial intelligence to optimize marketing. Designing CPC optimization algorithms for Google Adwords and Meta-search engines. Design and development of a real-time API optimization proxy in node.js and go-lang. Developing customer profiling techniques, designing new marketing products and researching their possible effectiveness. Researching cross-channel incremental influence of brand campaigns in Google Adwords (resulting in an article published with Google). From December 2011 to April 2013 (1 year 5 months) Teacher, PhD Student @ Researching concept drift in artificial intelligence. Member of an AI research group working on a novel De Novo DNA sequencing algorithm using the UCB algorithm. Member of the Polish AI Society. Teaching Computer Security and co-hosting AI research seminar. Resigned to pursue challenges in business and technology. From October 2010 to February 2013 (2 years 5 months) Senior Software Developer @ Developing scientific software for bioinformatics, statistics, High Performance Computing and Neural Networks. Building software for pairwise DNA sequence alignment, microsatellite analysis and population genetics (R and Java). Maintaining a High Performance Computing cluster for bioinformatics and statistical model calculation (OpenMPI). Research into the use of neural networks in animal breeding to predict milk output using MATLAB. Developing a novel animal model calculation software using SuperLU. Development of a nation-wide mobile system of animal assessment and classification in C#. From September 2009 to December 2011 (2 years 4 months) Software Developer @ A steel rebar manufacturing management software in J2EE including a production optimization algorithm. Employee management and monitoring tool in C++ and Java. Artificial text generator based on a pre-set corpus. From 2007 to 2009 (2 years)

MSc, Computer Science @ Uniwersytet Jagiellonski w Krakowie From 2005 to 2010 Mathematics @ Uniwersytet Jagiellonski w Krakowie From 2004 to 2005 Kamil Bartocha is skilled in: Statistics, Artificial Intelligence, Data Mining, R, Java, C#, C++, Node.js, Big Data, PHP, Linux, Predictive Modeling, Predictive Analytics, E-commerce, Marketing