Springboard is a 6-month intensive data science bootcamp. The curriculum builds a solid foundation on data science and machine learning concepts with an emphasis on Pandas, Numpy libraries, Relational Databases (SQL), Machine Learning (Scikit-Learn and Neural Networks), Time-Series analysis, Inferential Statistics, Bayesian Statistics, Data Visualization, Big Data (MapReduce, Spark), feature engineering, hyperparameter tuning, and model optimization.

Utilize internal metrics, statistical analysis and visualization tools to deliver actionable results from operational and financial data. Identify, develop, manage, and execute analysis to support problem statements Report key insights and inform executive stakeholders of noteworthy trends.

Teaching elementary and middle school age children computer programming and robotic design and implementation principles, including the functions of image feature detection, sonic sensors, motors and structural components.

Tasked with improving internal policies and procedures. Suggested new roles within the company to clearly define specific roles & responsibilities within various departments. Utilized project management and business intelligence analysis for process improvement. ________________________________________Key technologies: SQL, Python Scripts, QuickBooks Gathered organizational and financial data to generating reports for the stakeholders. Provided monthly reviews of revenue and other financial planning for annual budgets. Performed Return on Investment (ROI) calculations for new business ventures and potential acquisitions.  Engaged appropriate individuals to solve or build solutions to eliminate manual activities or leverage technology investments and system abilities.  Analyzed operational data and provided insights into employee retention and turnover. Created mobile tracking system to report and maintain unexpected maintenance issues. Educated employees on utilizing project management tools to improve department performance. Established backup payroll systems; reduced manpower and time required to complete invoicing.

Key technologies: Structural Equation Modeling, ANOVA, Python, Pandas, R, SPSS & Unix Scripts Promoted from Research Specialist to Clinical Project Manager Managed both science and administrative projects. Created tools used in Project Management Manual for Researchers. Conducted 16-20 MRI data collections per week resulting in an increase in data collection speed. Assisted with design of iPad game used as an intervention tool for adolescent aged children. Demonstrated the possibility of utilizing project management within an academic setting to improve efficiency and data integrity. Provided leadership and maintained excellent working relationships across several departments and teams to achieve deliverables.  Updated stakeholders on project status in a timely fashion. Trained staff and employees on MRI safety, data collection and experimental methods.

 Designed and developed experimental behavior economic tasks used during active MRI scans. Assisted with literature review in mindfulness and behavioral economics research. Conducted data collection, data processing and participant in screening and scheduling. Performed statistical analysis via SPSS & Python Statistical libraries.