• Lead the Employee Advisory Board to ensure employers harness the power of a diverse talent pool, driving innovation and better business outcomes. Did you know companies with diverse teams achieve 19% higher revenue? (Source: McKinsey & Company)• Drive strategic initiatives to enhance FUTURO's mission and vision, aligning organizational goals with community needs and aspirations.• Forge meaningful community connections to amplify our impact and outreach, fostering collaboration and collective action.• Contribute to the development of conference curricula, ensuring relevance and engagement through innovative learning experiences.• Mentor students to empower the next generation of leaders and change-makers, fostering personal and professional growth.• Advocate for technological advancements to elevate programming for students and organizational efficiency, embracing innovation as a catalyst for progress, particularly passionate about leveraging AI across the new working force

• Create critical analytics tools using mathematical models to turn data into accurate and relevant information to help make business decisions and recommendations. This involves using quantitative and statistical models against large data to analyze insurance claims trends. • Collaborate with internal teams to gather and analyze data using mathematical algorithms to resolve issues and communicate analysis to management and client leadership. This involves analyzing insurance claims data using Logistic Regression, Naïve Bayes, and other math algorithms, and interpreting data with mathematical tools such as Panda Math Libraries and MATLAB.• Own and develop client reporting packages and supporting analytics. This involves using data aggregation methods such as standard deviation, and differential equations to determine the effect of promotional and advertising efforts on sales. • Develop presentations on financial results based on different models, and present to internal Asurion management and external client teams. • Leverage experience with analyzing Asurion’s products and processes to anticipate and adapt to the changing competitive landscape for the company’s handset protection products.• Collaborate in the planning, design, development, and deployment of new risk management tools and processes. This involves developing, and implementing mathematical techniques and performing risk analysis (e.g. sensitivity analysis, multivariate statistical models, adaptive models)• Support interpretation of data using numerical analysis and statistics in order to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of analysis. • Advance the use of complex analytical techniques and thinking across the Program Management team (e.g. statistical modeling, ANOVA)• Perform other ad hoc analysis that requires rigorous mathematical and statistical modeling

• Support chapter leaders tracking of data related to Futuro Select 100 Points Incentive program for each of its members. Create a dashboard tool to be updated every other week. Ensure compliance with deadlines for final submission of Futuro Select 100 data. Identify top points earners and chapter with the highest points-per-student average. Create new data collection tools and process for 2019-2020 school year.• Participate in and evaluate the pilot of the Career FastTrack college to career program to develop data collection and analytics tool for the program in the 2019-2020 school year.• Creates data tool to collect end-of-year member survey in early March with the purpose of collecting and analyzing data related to program performance and key areas of need / improvement for the 2019-2020 school year.• Create jobs report for students by analyzing jobs / market data and synthesizing for students who are beginning the college to career transition.• Develop draft of report based on analysis of membership survey beginning of year and end of year.

• Presented patient care gap analysis and resource optimizations highlights to stakeholders • Created clinic information survey using REDCap • Prepared MIS reports in Tableau and MS Excel using What-if analysis, standard deviations parameters, Pivot tables, Box whisker plots, Pie charts and more• Collected unstructured patient flow data, transferred it a structured form, and filtered it• Actively involved in different phases of the data science life cycle which includes business understanding, data understanding, data preparation, statistical modeling and data visualization to implement a Standard Inpatient Operating Model (SIOM) using clinical data• Analyzed patient flow data using Dynamic models, scenario analysis, data slicing, data converting, and regression models• Assisted to prepare patient care improvement report, which included ANOVA analysis, resources optimizations, and financial analysis; The analysis concluded that patient flow can be improved by 20% and resources can be reduced by 15%