professional summary jessica claire 100 montgomery st 10th floor 555 4321000 4 resumesampleexamplecom used machine learning create linear regression logistic regression clustering models created interactive dashboards tableau shared users technical business analyst 4 years experience healthcare oracle applications depth knowledge hipaa 4010 5010 icd 9 10 hl7 edi file formats like 837 ipd 835 claims extensive design experience creating process flow diagrams using ibm blueworks live uml diagrams use cases activity diagrams sequence diagrams using ms visio rational rose adept creating transforming business requirements functional requirements designing business models using uml diagrams use case sequence activity diagrams dataflow diagrams data modeling excel liaising business technical areas achieve ontime onbudget onspec project completions good project management skills experience webbased collaboration tools webex gotomeeting lyncskype business good knowledge healthcare revenue cycle management good understanding oracle financial modules ap gl fa ar extensive knowledge oracle plsql oracle reports oracle forms comprehensive knowledge sdlc experience black box regression integration uat load performance testing experience tracking reporting status supervisor per established weekly status reporting process identify issues risks bring supervisors attention sufficient leadtime avert crises participate actively weekly team status meetings program management office pmo meetings good experience release planning management expertise implementing systems development agile scrum rup waterfall methodologies excellent communication presentation skills experience development implementation integration strategies within teamoriented environment skills machine learning statistics data mining people development communication strategy python database management data management basic math analytical skills visualization crossfunctional collaboration project management work history data science python 102018 current change healthcare robesonia pa exploratory data analysis eda using python studied statistical analysis business applications like population sample statistical analysis considerations data distributions dispersion histograms performed mathematical computation datasets numpy used scipy scientific computation data manipulation pandas used machine learning natural language processing scikit learn created data visualization models using matplotlib python integration hadoop map reduce spark leveraged mathematical techniques develop engineering scientific solutions tested validated models accuracy predictions outcomes interest implemented randomized sampling techniques optimized surveys improved data collection methods designing surveys polls instruments modeled predictions feature selection algorithms compiled cleaned manipulated data proper handling applied loss functions variance explanation techniques compare performance metrics project movielens dataset analysis details follows group lens research project research group department computer science engineering university minnesota researchers group involved many research projects related fields information filtering collaborative filtering recommender systems performed analysis using exploratory data analysis technique applied tools machine learning predict survivors tragedy presented findings orally writing advanced mathematical models ran statistical analyses within software process large datasets daca scientist university kansas medical center manhattan ks customer lifetime value model noncontractual setting 012016 102021 estimated value customer based purchase behaviour using loglikelihood mcmc model predicted churn rate transaction frequency expected lifespan customer based rfm data produced error accuracy plots demonstrate trade prediction quality prediction duration visual recommender based convolutional neural network modified learning rate decay network handle vanishing exploding gradient problems effectively enhanced neural network perform iterative logging weights based maximum validation accuracy improved performance recommender implementing dropout layers avoid fitting market basket analysis generate association rules item bundles calculated support lift confidence generated association rules generate recommendation experimented fpgrowth algorithm significantly improve performance compared apriority extended model account sequence purchases improve quality predictions provided comprehensive analysis recommend solutions address complex business problems issues using data internal external sources applied advanced analytical methods assess factors impacting growth profitability across product service offerings developed quarterly roadmaps based impact effort test coordinations working stakeholders achieve shortterm longterm goals collaborated internal stakeholders identifying gathering analytical requirements customer product projects needs created cultivated test learn culture among crm digitization groups creating executing structured experimentations based datadriven market ideas developed datagathering reporting structures ground strategized methods capitalizing system features evaluated processes data identifying productivity gains sales growth within digitization segment applied statistical algebraic techniques interpret key points gathered data leveraged analytics drive business development productivity process improvement marketing strategies including customer lifetime modeling acquisition retention win backs monetization implemented randomized sampling techniques optimized surveys applied loss functions variance explanation techniques compare performance metrics compiled cleaned manipulated data proper handling improved data collection methods designing surveys polls instruments pho student walden university city state 062015 082020 dissertation fulfillment phd study topic construction project management maturity model determination correlation success factor research grounded theories leadership management organizational behavior project management quantitative data collected 190 professional managers government consultant contractors 90 variables 20000 data entry used research remote data collection tools methods effectively used complete study successfully designed apply methods find solutions project management failures related key project management knowledge driving project succeed failed defended well study released online since september open source time application 580 copies downloaded school apply fresh energy fields one critical resource education phd management walden university minneapolis mn macter arts economics indra gandhi national open university new delhi certifications affiliations macter philosophy management walden university minneapolis mn operation management indra gandhi national open university new delhi bachelor science civil engineering addis ababa university faculty technology addis ababa 082020 122019 042019 082013 071998 executive leadership certified national society leadership success advanced leadership certified national society leadership success practicing professional construction management moc 2015 present american national society leadership success lifetime member american project management institute member ethiopian society civil engineers member