dr loretta jones data scientist location leeds telephone 07899988876 email ljonestheemailaccountcouk professional profile analytical detailorientated data scientist four years driving quantifiable business growth profit reputable companies retail ecommerce sectors phdeng meng qualified professional extensive experience python r c matlab sql theoretical applied knowledge cloud infrastructure etl processes able execute outstanding data extraction analysis using algorithmic data mining techniques inform advise business development workflow improvement committed using machine learning al streamline systems adept synthesising complex data actionable reporting proposals specification writing wellversed refining creating data models improving qms data validation core skills phdeng meng data science python r c matlab sql algorithmic data mining techniques reporting proposals specification writing career summary creating testing using maths data models qms data validation machine learning artificial intelligence cloud infrastructure etl processes jan 2019 present big retailer data scientist outline data scientist big retailer gather research consumer purchasing trends combine company sales stock management revenue data inform company strategy decision making key responsibilities extracting synthesising interpreting large volumes data variety company sources utilising algorithmic data mining artificial intelligence machine learning statistical tools manipulating python r c different coding functions improve mathematical analysis reporting results data transparent informative resultsoriented way stakeholders consulting key internal external stakeholders business issues identified data creating datainformed solutions present senior management effective resolutions build test algorithms mathematical models improve data extraction synthesis managing tailored reporting different business areas wider company reporting understanding informing key stakeholders client consumer interaction company reviewing data extraction collection sources assessing usefulness staying informed latest retail industry trends using inform data output researching new datacollection techniques update models data gathering techniques scanning business departments like human resources see whether data models assist explaining complex functions understandable language different areas business helping streamline data science strategy updating line new sources information key achievement identifying repeatedly ordered unsuccessful stock costing company 350000 year spotting consumer trend turned promotional campaign 1 million revenue implementing data model hr department improved retention 45 refining existing data extraction process saving 4 hours work week data scientists jan 2018 dec 2018 outline ecommerce consultants data scientist data scientist ecommerce consultants worked quality management system new products collating customer interaction interfaces feeding back key stakeholders key responsibilities manipulating data models using r python c matlab extract synthesise data creating clear reports specifications proposals communicating ideas clearly stakeholders page 1