links professional summary jessica claire 100 montgomery st 10th floor 555 4321000 resumesampleexamplecom innovative meticulous professional expertise data science machine learning blockchain technology machine learning engineer insatiable curiosity drive solve complex problems astute calculating attentive specific business requirements successful history identifying patterns making interpretations producing reports skilled creating different modelsretraining systems transforming data science prototypes productiongrade solutions experienced employing mathematical concepts python programming skills yield real gains model changes wellversed design optimization improving realtime prediction systems evaluating strategies enthusiastic blockchain engineer skilled developing blockchain building blocks python creating smart contracts solidity programming work history data science consultant process logic llc sanmina sci 122019 012022 applied advanced mathematical topics like calculus business statistics algebraic techniques interpret key points large datasets utilized python implement unsupervised machine learning techniques time series anomaly detection 14 tb unstructured data reduced total process time 17 classified insurance claims developed models fraud detection comes rentershomeowners insurance developed polished visualizations tableau share results data analyses compiled cleaned manipulated data proper handling devised strategies reducing daily assessment load insurance claims contributed cicd pipeline production ready deployment machine learning models cloud environments aws h2o set sql database cloud servers store client data query analysis applied loss functions variance explanation techniques compare performance metrics used sql merge clean data conceptual logical physical data models mined data categorized customer data insights regarding life insurance policies data science consultant process logic lllc client capital one modeled data performed forecasting based customer data gathered insights regarding customer demand used cars 012018 112019 worked banks auto navigator department developed trained machine learning models risk analysis auto loans helped create ab testing frameworks test model quality utilized advanced querying visualization tableau analyze process complex data sets used spark framework batch processing leveraged find bias models training data employed feature engineering large datasets pinpoint useful variables excluded outliers unrelated data points engine ring intern safran electrical power safran group city state 042017 092017 performed data analysis information provided customers obtain metrics provided engineering support production team commissioning phase project collaborated senior engineers projects offered insight drafted 2d 3d designs using revit autocad software education specialization financial technology miami herbert business school university miami coral gables fl master science environmental science engineering university houston houston tx certificate fintech professional trilogy 2u inc data scientist machine learning dataquest projects 122021 012017 successfully completed numerous advanced projects real world problems large data sets applications various industries kindly checkout github repository following examples credit card fraud detection machine learning developed machine learning models effectively efficiently detect credit card fraud transactions language tools python matplotlip pandas numpy scikitlearn tensorflow matplotlib blockchain smart contracts created three complex smart contracts including tiered profit splitter deferred equity plans language solidity programming natural language processing nlp used nlp advanced statistics perform sentiment analysis crypto market employed nlp understand sentiment latest news articles online posts featuring bitcoin ethereum including common words phrases organizations entities mentioned articles effects coin prices language tools pythonspacy nltk newsapi jupyter notebook