jessica claire resumesampleexamplecom 555 4321000 montgomery street san francisco ca 94105 professional summary overall 8 years experience data engineerdata analyst data science analytics machine learning statistical analysis experience python 3 corresponding data analysis data visualization machine learning libraries scikitlearn pandas seaborn matplotlib numpy familiar gathering cleaning organizing data use technical nontechnical personnel advanced understanding statistical algebraic analytical techniques highly organized motivated diligent significant background python programming hands experience applying machine learning algorithms linear logistic regression svm knn na bayes decision trees random forest kmeans clustering pca linear regression neural networks skills languages python database sql mongodb machine learning regression classification clustering decision trees random forests data visualization matplotlib tableau scm git cicd docker jira kanban board etl models agile methodology pyspark redshift snowflake bigquery education university north carolina greensboro greensboro nc 052016 ms computer science gpa 38140 jawaharlal nehru technological university hyderabad india 052011 bachelors computer science gpa 37640 work history bankers healthcare group data engineerpython developer seattle wa 052017 current collaborated application teams translate project requirements business objectives polished user interface automate network configuration cisco aci using python perform data cleaning features scaling features engineering using pandas numpy packages python revised modularized updated old code bases modern development standards reducing operating costs improving functionality developed implemented supported maintained data analytics protocols standards documentation analyzed complex data identified anomalies trends risks provide useful insights improve internal controls collaborated crossfunctional teams etl extract transform load tasks maintaining data integrity verifying pipeline stability optimized sql queries improved performance availability worked machine learning classification models using python worked outlier detection data visualizations using boxplots feature engineering using knn distances using pandas numpy packages python used various python libraries like pandas numpy seaborn scipy matplotlib scikitlearn develop machine learning algorithms analyzed existing sql queries identify opportunities improvements developed custom sql scripts improve database efficiency reduce data load time enhance performance client lexis nexus data analystdata engineer city state 112016042017 responsible data aggregation data cleansing missing value imputation descriptive inferential analysis implemented data processing applications collect clean normalization volumes open data clean data processed data maneuverable deliverables within specific format excel macros python libraries numpy matplotlib managed tableau dashboard tableau server optimized dashboard performance communicated presented profile reports using python tableau analytical results strategic implications strategic decision making optimize sql performance integrity security projects databasesschemas contributed optimization data management performance tuning created modified troubleshoot sql queries stored procedures jobs client netapp python developerdata engineer city state 062016 112016 worked project gathering requirements developing applications worked anaconda python environment activation creation using python libraries numpy performance calculations wrote clean clear welltested code various projects maintained existing applications designed delivered new applications authored code fixes enhancements inclusion future code releases patches worked sql development mysql ibm sql developer city state 092011 022014 created optimal technical solutions user needs research indepth system analysis devised highquality database solutions ranging size complexity increasing productivity improving data sharing supported multiple concurrent projects enabling delivery efficiencies technical resolution designed implemented tsql queries reporting complex solution development built data integration solutions automatically introduce new sets existing asset repositories orchestrated optimized transformation processes moving data sets sources target tables built useful reporting deliverables properly document analysis results provide performance improvement feedback