jessica claire montgomery street san francisco ca 94105 555 4321000 resumesampleexamplecom professional summary highly motivated sales associate extensive customer service sales experience outgoing sales professional track record driving increased sales improving buying experience elevating company profile target market skills r python sql aws apache spark rstudio canopy visual studio github android studio work history data science intern 052016 072016 motorola solutions lakeland data science skills machine learning deep learning tensorflow scikitlearn built machine learning etl pipeline filter botlike users using python spark aws platform performed eda analyze distributions find correlations gain understanding data5m rows per day user level feature generation create features distinguish bot human behavior lead meaningful clustering results unsupervised learning using kmeans clustering identify bot clusters labelling bots supervised model building predict bots innovatively built multiscale bootstrap logistic ensemble stability analysis evaluate scalability deploy month data analyst advanced analytics 082016 current wcg austin worked building big data analytics tool help general analyst perform visualize adhoc analyses large datasets stored aws s3 performed standardizing adhoc analyses written hive pandas rshiny unified python code used flask bootstrap css build frontend daily tasks included performing statistical analysis client requests research assistant 012016 current mdrc working research paper probabilistic inference internet node geolocation anomaly detection approved 2016 ieee international symposium ths find ip addresses subnet geographically close research revolves around concepts ip geolocation hierarchical probabilistic clustering using r projects student 052016 112016 beth israel deaconess medical center evaluated autoencoder performance 3 problems clustering complicated graph networks lower dimension anomaly detection unsupervised pretraining achieving local minima compared random initialization mnist dataset imputing missing categorical data student 112016 current beth israel deaconess medical center built easy use deep learning library using tensorflow library consists autoencoder convolutional nets deep classifier word2vec examples student 2016 042016 beth israel deaconess medical center built backend music recommender clustering music tracks based sound features like loudness pitch timbre manually verified clusters discovered similar sounding tracks clusters observed similar sounding music clusters student 2016 042016 beth israel deaconess medical center learned applied supervised learning techniques like svm logistic regression random forest performed cross validation varying sized training sets understand training time accuracy achieved 98 accuracy student 072015 112015 beth israel deaconess medical center developed dashboard application using r shiny bootstrap css scrapes reviews user specified products amazon performs text mining sentiment analysis review presents results form wordclouds graphical charts help customers purchase decisions conducted lab experiments surveys participants compared application amazons review system education master science data science current worcester polytechnic institute wpi worcester bachelor engineering computer science may 2014 university mumbai mumbai maharashtra computer science 3440