Specialties: Statistical Modelling, Probabilistic modelling, Computational Statistics, Data Analysis, Machine learning algorithms, data mining, Classification, Maximum likelihood estimation, Hidden Markov models, Bioinformatics, algorithmic coding, R, C++, Pig, Hive, Hadoop, Mahout, Map/Reduce

Principal Data Scientist and Personalisation Lead @ From May 2015 to Present (8 months) London, United KingdomLead Data Scientist @ - Designed machine learning architecture for large-scale recommender system. - Built automated data pipeline to process >50Tb data daily using Hadoop, Hive, Pig, Mahout on Windows Azure. - Designed and implemented low latency, real-time compute engine. - Recruited and led team of engineers and Data Scientists to develop latest machine learning and algorithmic techniques to improve personalization on ASOS.com. - Directed feature engineering and development of strategic roadmap for personalisation across a cross functional team. Technologies used: 1) Distributed storage and computation - Hadoop - Windows Azure / hdInsight - Apache Mahout - Elasticsearch 2) Data querying and manipulation* - Hive / SQL - Pig 3) Automation and scheduling - Azure Data Factory - Apache Oozie - Jenkins 4) Model development and ad-hoc analysis - R, Python - C++, Java From May 2013 to Present (2 years 8 months) London, United KingdomStatistics DPhil researcher @ Developed a novel machine learning method using Hidden Markov Models to estimate rate of HIV evolution, with extension to handle genomic longitudinal data. From September 2007 to Present (8 years 4 months) Senior Quantitative Analyst, EAN @ From July 2012 to December 2012 (6 months) London, United KingdomStatistics tutor @ From January 2011 to March 2012 (1 year 3 months) Junior Dean @ From September 2008 to August 2011 (3 years) Statistical Computing tutor @ Assist with teaching the following R practicals: basic graphics, hypothesis testing, linear models, generalised linear models, time series, multivariate analysis, multi-level models, data mining, machine learning, imputation and bayesian analysis. From September 2010 to April 2011 (8 months) Data Technician @ From January 2007 to November 2007 (11 months) Soldier: Trainee Combat and Electronic Engineer @ From February 2001 to June 2002 (1 year 5 months) Data Technician @ From August 2000 to February 2001 (7 months)

DPhil, Statistics @ Pembroke College, Oxford From 2008 to 2012 Statistics @ Mansfield College, Oxford From 2006 to 2008 BSc, Biology with Business Management @ Queen Mary, U. of London From 2003 to 2006 Jedidiah Francis is skilled in: Machine Learning, Statistical Modeling, R, Data Mining, Statistics, Algorithms, Data Analysis, Research, Bioinformatics, Artificial Intelligence, Pattern Recognition, Mathematical Modeling, Bayesian statistics, Multivariate Analysis, C++