As I approach the completion of my Master's degree in Applied Statistics at California State University, Long Beach, my passion for data-driven financial analysis intensifies. Specializing in advanced statistical techniques like classical multidimensional scaling and neural networks, I've developed a robust theoretical and practical foundation in data analytics, equipping me to convert complex data sets into actionable financial insights. My technical skills span several key data science programming languages, enhancing my ability to model and forecast financial scenarios, assess risks, and influence strategic financial planning. My practical experience in finance and accounting has allowed me to apply sophisticated statistical methods to improve financial forecasting accuracy, streamline risk management, and support strategic decisions. Through hands-on projects, I've sharpened my abilities in financial data analysis, market trend navigation, and collaborative project management, aiming to use my data science and statistics expertise to foster innovation, optimize workflows, and improve decision-making in the finance sector.
Skills: Excel(VLOOKUP), TABLEAU, SQL, Oracle Database
Department: Sales & Accounting
Duties: Assist with growing partnerships in Long Beach by identifying specific growth markets locally. Support current relationships with vendors and assisting with key stakeholders to deploy new web application to attract more clients.
Skills: P&L, Month End Close, Forecasting, Pivot Tables
Department: Finance & Accounting
Duties: Assist with growing partnerships in Long Beach by identifying specific growth markets locally. Support current relationships with vendors and assisting with key stakeholders to deploy new web application to attract more clients.
Skills: Excel, Reporting,
Department: Clerical
Duties: Identify and suggest improvements to the data entry processes to increase efficiency and accuracy.
Created different reporting methods to track sales data. The hope is to give quick insights to alternaitve methods.
Focused on medicare dual enrollment and tracked previous years. Each report serves different purposes to illustrate state and county levels enrollments.
Developed a comprehensive data analytics project aimed at analyzing crime data to enhance map features, providing deeper insights into crime patterns and hotspots.
A membership ticketing system that mimics streamlining databases and reporting. Enhancement features include: ChatGPT prompting, Cloud Computing, and Live Databases. (In progress)
The above link contains my letter of recommendations. Also, you can check out the letter of recommendation here.