Category: Data Science

jessica claire montgomery street san francisco ca 94105 555 4321000 resumesampleexamplecom summary 1 years proven work experience professional problemsolving root cause analysis data analysis process automation infosys limited good problem solver strong analytical thinking proficient python r sql data gathering data wrangling data analysis skills python pandas scikit learn numpy matplotlib r sql pl sql c c javascript linux shell scripting hadoop spark web scraping selenium beautiful soup dash plotly opencv geopandas machine learning random forest xgboost decision tree svm naive bayes regression knn regression classification natural language processing sentiment analysis topic modelling time series analysis fbprophet deep learning keras convolutional neural network recurrent neural network tools sas tableau power bi matlab rstudio microsoft office jupyter notebook spyder zepl google colab databases oracle rdbms mysql mongodb snowflake technology blockchain business intelligence aws certification machine learning az handson python r data science udemy artificial intelligence az build ai udemy api sas artificial intelligence scripts ai shell scripting automation sql bi structured business intelligence supply chain c transportation c workflow customer relations client database databases features javascript linux market matlab access ms excel microsoft office modeling mysql natural language processing network neural plsql predict process improvement process management programming python oracle rdbms research experience data science intern 062020 current amita health mattawan mi working startup building advanced analytics supply chain visibility transportation management implemented arcgis geocode addresses performed geofencing track map loads corresponding vehicles performing data cleaning data transformation 600k rows data parsed map data source using python extract data related interstate highway rest areas created structured dataset 1000 records scraped data related gas stations usa using selenium geocoded address using arcgis get coordinates created structured dataset 40000 records access sql database manipulate data create visualization reports give insights data accessed google cloud enable google maps distance matrix api key implemented eta distance prediction making use google maps distance matrix api performing market intelligence analysis gain insights competitor products performing uat ensure functionality product systems engineer 092018 052019 spireon chicago il designed developed implemented process automation using scripts workflow model collaborating client goldman sachs improve efficiency tasks done based root cause analysis incidents achieved saving 200 hours manual work done per month resolving incidents benefiting organization minimized headcount labor costs potentially worth 500k usd per year facilitated process improvement automation gathering data performing data wrangling analysis appropriately come solutions solve problems reducing 40 time spent experts still used team solve problems query database search patterns part workflow implementation resolve incidents coached transferred knowledge team members regarding technical aspects process management systems engineer trainee 042018 082018 infosys limited city state successfully completed 4 months training soft skills hard skillspython sql linux education training master science data science analytics 2020 georgia state university j mack robinson college business atlanta ga gpa 40943 relevant courseworkprojects graduate research assistant institute insight jmack robinson college business better business bureau sprint project performed data cleaningmergingprocessing sale pattern accreditation pattern around 500k rows data using python analyzed data set translated insights findings visualization using python ms excel help predict improve customer retention attract new customers house price prediction preprocessed data cleaned added feature engineering using python implemented machine learning model using voting regressor combines xgboost gradient boosting regressor support vector regressor ridge regressor lasso regressor predict sale price house based 81 exploratory variables achieved mean absolute percentage error mape score 766 hotel recommendation model scraped hotel reviews trip advisor using beautiful soup python performed topic modeling sentimental analysis using nltk vader sentimental analyzer 3000 reviews different hotels determine best features hotels using sentimental scores associated optimize hotel customer relations top performer training infosys limited best paper award 8th international conference science innovative engineering runner chess competition held school successfully completed ucmas course member leo club activities honors accomplishments deep learning research project preprocessed raw text data performing stop word removal lemmatization keyword match using data set implemented various machine learning models 10 fold crossvalidation like random forest decision tree xgb classifier svc deep learning models like recurrent neural network rnn using lstm train classify text achieved accuracy 83 classifying texts dell sprint project administered team 4 create visualizations using tableau analysis diversity inclusion organization designed implemented facilitated diversity inclusion dashboard using dash plotly framework used dell technologies proprietary software analysis diversity inclusion within organization identify ships satellite images built cnn model using keras python train classify ships 4000 satellite images validated model accuracy 99 using 5 fold crossvalidation model could potentially help monitor port activity levels supply chain analysis courses statistical foundations analytics data programming analytics data management analytics data visualization machine learning analytics predictive analytics deep learning analytics scalable data analytics anna university sri venkateswara college engineering chennai tamilnadu bachelor engineering electronics communication may 2018 linear algebra partial differential equations probability random processes