PySpark and Tableau Developer for Self-Service Analytics

- Analyzed flow and order of jobs for technicians and its effect on productivity on several scales of granularity, then reset dispatch optimization settings to place techs on ideal performance paths- Modeled relationship between current self-help tools and technician performance providing customizable recommendations to boost productivity - Remodeled pricing of all products and created automated process for continuing reevaluation and resetting of nationwide dispatch settings, resulting in more accurate and consistent prices- Performed times series and survival analysis on churn rates in Python, uncovering unknown seasonality and patterns including top reasons for customers cancelling services- Exponentially increased the efficiency of chat transcript data pulling by implementing an API solution- Learned WikiCode and assisted in the building of an in-house wiki page to aid data governance efforts

- Composed commentary for client books, manager research reports, and presentations - Analyzed historical returns of 50+ stocks and mutual funds to find trends over varying time periods - Presented to the CEO and senior administration about sustainable investing with the recommendation to open the discussion with clients more regularly

- Instituted a reorganized filing system of accounts that improved the efficiency of financial advisors - Acted as liaison between clients and advisors as well as between advisors