Analytics focus on building and implementing innovative data tools and visualizations for department process control and improvement. Project lead and analyst on development and analytics deliverables. Focus areas: reporting/analytics, visualizations, database/datamart/datacube development, process flow improvement.

Analyze business workflows, systems and processes to develop and implement the most efficient and innovative solutions for the companyDocument and translate user requirements and technical specifications considering SDLC and business goalsPerform functional and technical testing to ensure seamless integrations of new developments into current systems and processesDesign impact analyses to understand business data and operational changes from a data level perspectiveManage and facilitate communication between the business and developers throughout project analysis, development, testing, training and production phases Employee of the Month, December 2014 Organizational Health Award, May 2015, June 2016 Above and Beyond Award, June 2015 MVP of Operations, December 2015 Most Helpful Award, December 2016 Employee of the Month, January 2017 Organizational Health Team Member

Analyzed company pay practices, financial information and relevant industry and market practices to develop competitive, individualized and comprehensive compensation packagesResponsible for all levels of projects including data collection and aggregation from financial statements and literature reviews, data mining, Excel template and formula building, analysis of information and report creation

Conducted individual and group recitation sessions for Brandeis undergraduate physics lecture and lab materialOrganized lesson plans to include group activities, individual problem solving time, and one-on-one review meetingsCreated visuals, graphs and worksheets laying out major concepts, background information, relevant formulasCommunicated regularly with respective professors to remain up-to-date with classwork, assignments and exams

Created virtual metrology models for the polysilicon plasma etch process using multi and univariate analysis on real time process data with fault detection control and statistical process control to determine correlation with metrology Performed study and final methodology using Principle Component Analysis, Correlation Analysis, and Step Wise Regression for variable selection and outlier removal on the real-time process dataBuilt and validated predictor models using Multiple Linear Regression, Partial Least Squares, Neural Networks, and Gaussian Process Regression in MatLab and FabGuardConducted in-depth research and literature reviews on the semiconductor industry and specifically the polysilicon etch process; organized an acquisition dictionary of run files for factory tool data

Performed a study to evaluate the sustainability for pre-natal programs in nonprofit health facilities from a medical needs and financial standpoint; used trend analysis and predictive models to evaluate and display historical, current, and future financial standpointsConducted data mining; analyzed trends in patient populations, demographics, prior visits, age, health conditions, and socio-economic status over the past 10 years for existing Pre Natal Programs Communicated with health professionals, patients, and facility managers to evaluate and interpret findings

Examined the association between health education, age of onset of drug use, and other variables with smoking and alcohol use among adolescents, using data from the National Longitudinal Study of Adolescent Health. Managed data using the program SAS. Presented work at Wesleyan’s semester poster session.