Developing and applying skills in Python, SQL, Statistics and Data Analytics for a career shift into Data Science.Wrangle, cleanse, subset and analyze Pandas DataframesAnalyze large structured and unstructured healthcare, retail, medical and financial datasetsQuery datasets with SQLUtilize Matplotlib and Seaborn for data visualization and presentationCreate, train and evaluate statistical models for predictive accuracyEvaluate hospital data to determine differences in charges for insured and uninsured patientsEvaluate property values in London over time to determine trends in housing prices by borough, visualizing data in MatplotlibEvaluate Apple App Store and Google Marketplace data to compare large-scale trends in application ratingsIdentified primary revenue driving features in ski resorts nationwide to assist in pricing strategy, wrangling, cleansing, modeling and visualizing data in Python before presenting results in writing to stakeholdersCreated a 3 year forecast of home values in the midwest, utilizing Meta's Prophet model

Worked in technical recruiting and sales positions developing and leveraging advanced communication, presentation, analysis and consensus building skillsWorked cross-functionally across technical and operations teamsDeveloped technical subject matter expertise in a variety of solutions and technical recruiting fieldsAcquired strong time management skills working in predominantly self-directed environmentsCompanies included Apex Systems, Equity Staffing and Epicor