Build reusable analytical tools (dashboards, task automated scripts, classes, functions)Support initiatives by evaluating the results of A|B testsCluster ModelingCluster Profiling using Decision Trees and statisticsEvent PredictionTask AutomationNLP (keyword modeling, ngrams, topic modeling)Built the 360 customer tableManage project and analytics initiative wikisBuild dashboards with Power BIModel with PythonQuery with SQL, BigQueryData worked with:Finance, brand, marketing, retention, demographics, behavioral, and more

Analytics & Automation• Automate user tasks in Python including quarterly reports, savings analyses, and monitoring processes, leading to on average a 70% reduction in time while saving the company ~133K(~7K per client) per year• Develop visualizations in Python and Google Sheets to drive insights for users• Contribute to strategizing and building the company tech vision• Manage the relationship with our software developers, IT, and compliance contractors• Create companywide visuals including the company’s data/work flow and the company’s tech stack and remote desktop setup• Mentor, train, and educate analysts in claims data, python, excel, googling, process mapping, project framing, and leadershipClient Experience • Create a financial model that quantified financial change between two time periods through factors(Examples: Price, Volume, Drug Mix)• Build savings analyses, quantifying how much are we saving our clients• Create sales decks, quarterly presentations, savings analyses, and reportsClinical • Develop clinical reports on conditions using comparative effectiveness

• Gathering and analyzing data to build meaningful actionable visuals and stories focused on global issues

• Created and revised SOPs, checklists, and job aids that will result in process consistency and reduced error disputes• Implementing and then analyzing the quality management system in order to correct any current problems or prevent those in the future• Developing the department structure including defining, vetting, and hiring future employees• Conducting bias and efficiency experiments of our office space

• Implemented machine learning algorithms for a product recommendation engine aimed at increasing customer lifetime value for more than 18 million customers• Utilized models such as neighborhood and latent factor collaborative-filtering, market basket analysis, clustering, and sequence analysis to determine the optimal cross-product usage and advance the individual customer journey• Presented the recommendation engine and UI to the Data Analytics Department

• Placed 1st in a feasibility study of Governor Cuomo’s energy mandate to have 50% of electricity in NY come from renewable energy sources by 2030• Cleaning, manipulating, and predicting data are done in R and Excel with visualizations done in Tableau

Fall 2018:Carolina Biological• Building predictive CLV models in R while completing survival analysis, customer value, and retention analysis with visuals completed in Power BIElon Business School• Building an alumni network of the Elon Business School using R and LinkedIn’s API with Tableau utilized for visuals

• Completed an analysis of the provided data with the goal of finding insights on how they may increase online conversion rates mainly using forms of regression analysis, clustering, and correlation• Presented the findings and recommendations to a group of Hanesbrand Inc. executives and other competing groups

• Built, developed, and managed databases of brokers, clients, partners, and potential clients• Executed clients’ installations including plotting timetables, managing client and contractor relationships, and supervising inventory deliveries and installations• Analyzed financial models to determine scenarios for properties currently still in negotiation• Managed and input potential property data from brokers into a database • Operated Salesforce, Sales Navigator, Airtable, Excel, and Expensify

• Guided three mentees’ transitions to Elon University• Develop and construct good time management skills and habits

• Managed and directed crew members to paint houses in the most efficient way• Set a high standard of quality, speed, and safety for crew members• Maintained positive and personal relationship with homeowner

• Managed daily communication for several economic development projects focused on improving the quality of life in downtown Worcester and populated content banks for social media accounts• Coordinated communitywide outreach for Let’s Put Worcester on the Map (a Google Initiative)• Created a learning module for business owners on the functions and capabilities of Google Analytics • Developed a startup database focused on premier innovation and high growth in Massachusetts