• Consultant, Data Analyst, and Project Manager via Murdoch Services supporting the field through investments and selling initiatives• Supporting the WW Sales team for all Modern Work products (Software and Hardware)• Developing internal programs by creating step-by-step action plan to pin point problems and resolve such issues by surveying and manipulating datasets to drive real change financially in a timely fashion• Responsible for business planning, strategy development with a deep collaborations of the vendor, field, and corporate team to creating content and report data• Create reports through Power BI financial and customer modeling to raise tangible and intangible insight for Microsoft Products (Software and Hardware)• Querying large datasets and using machine learning to gain better insight for the growth of product line• Bi-weekly meeting with the Business Architects, Business Strategists, Corporate Sale Leaders, Product Marketing Managers, software engineers, and the WW sales field for Modern Work and Security products• Leading a cross-functional team of 20 professionals across departments, successfully facilitating the deployment of Microsoft products to customers and generating over $1 billion in revenue• Developed and implemented the company's most successful post-sales offer, gaining strong support from account teams, sales leaders, and the CEO, resulting in high demand and a significantly increased budget allocation for FY24• Assisted the finance team in diligently tracking the program's financials and usage metrics, providing valuable insights into its performance from beginning to end• Leveraged FY23 forecast data to meticulously structure the program for FY24, analyzing trends, identifying patterns, and considering key factors such as product launches and market conditions to ensure optimal planning and execution

• Utilized Python, SQL, and AWS to scrape, clean, organize, and store financial statement data for approximately 10,000 publicly traded companies• Analyzed market sentiment, stock price data, and financial statements and metrics (e.g. Gross margin, EBIT, EBITDA, P/E, E/P, ROE, ROI, etc.) • Libraries used: Numpy, Pandas, Matplotlib.pyplot, mplfinance, matplotlib.dates, pandas_datareader, seaborn, requests, BeautifulSoup, json, sqlalchem, and pymysql

•Developed recipes and restructured the menu to reduce food cost per order by 71% or from $4.80 to $1.37•Orchestrated an inventory turnover plan to ensure fresh ingredients at all times, while reducing waste to 1%•Launched advertising campaigns, campus outreach, and loyalty campaigns, increasing foot traffic by 400%•Negotiated contracts and created stable cash flow by provide dining for a number of organizations including the UC Berkeley Athletic Department, fraternities, sororities, and student-run clubs boosting revenue by 456%•Streamlined billing, prepared financial books, and organize invoices for catered events•Honed interpersonal skills to help ensured premium customer service, which increased sales and word to mouth

Commercial Real Estate - Summer Financial Analyst• Underwrote and prepared deal memos to pitch loans to WFB's credit team • Tracked risk by evaluating rent rolls, operating statements, debt schedules, and financial statements • Predicted asset performance by analyzing market conditions, such as comparable rents, vacancies, and oncoming supply

• Member of the Division I Water Polo Team; played various positions including defensive whole-set & driver• Devoted 25 hrs/wk to athletics while simultaneously managing the restaurant and a full academic course load• Developed discipline, strong work ethic, focus, and perseverance