Category: Data Science

trish mathers entrylevel data scientist innovative scientifically rigorous graduate significant data science internship experience bring table teamoriented attitude im eager contribute abilities quantitative modeling experimentation enhance experience global pinterest users work experience niantic data scientist intern seattle wa april 2022 december 2022 developed program sas automated refinement linear regression models specific segments customer base saved 22 hours labor per month received cleaned prepped data client using sas sql excel help data scientists build marketing mix models resulted lift roi 10 basis points seattle university tutor center statistics mathematics tutor seattle wa april 2020 april 2022 assessed students learning determine learning weaknesses needs successfully helping students perform 13 better algebra precalculus calculus statistics undergraduate courses met 30 students per week online learning platforms 11 setting tutor center scheduled weekly appointments students set schedules student statistics math tutors communicated professors curriculum submitted reports 2 times per week maintain uptodate learning plans students projects fantasy football models aggregated prepped 3 years fantasy football projection data 3 independent sources mysql database created random forest model sas combining disparate sources one projection outperformed mean absolute error next best projection 15 entertainment engine aggregated data imdb rotten tomatoes used k nearestneighbors sas constructing enhanced entertainment selection targeted reach 15 25yearolds improved methodologies save average 12 minutes per movie selection 3 minutes per song selection tmathersemailcom 123 4567890 bellevue wa linkedin skills programming sas base sas macros sql supervised learning linear logistic regressions decision trees support vector machines svm unsupervised learning k means clustering principal component analysis pca data visualization excel google sheets education bs mathematics economics seattle university september 2019 april 2023 seattle wa gpa 37 relevant courses intermediate programming probability statistics linear algebra applied econometrics game theory calculus 13