Deliver tailored pricing models to optimize client satisfaction and firm profitability. I lead the development data reporting and visualization efforts on the Client Value team, leveraging Python, Power BI, and automated tools to enhance reporting accuracy, streamline workflows, and visualize matter performance against profitability and leverage projections.*Strategic Insights: Built Power BI systems to analyze and visualize client financial trends, quickly identifying opportunities and risks.*Project Management: Led pricing and project management efforts for large RFPs, collaborating with partners to craft competitive, multi-year proposals.*Data-Driven Reporting: Created SQL and Python-powered solutions for automated financial reporting, enabling data-informed decision-making.*Efficiency Improvements: Automated pricing modeling and approval workflow, improving operational accuracy and saving time across teams.

◦ Model Economic Damages: Research capital structure and financial statistics of publicly traded companies using a Bloomberg terminal and SEC filings to estimate economic damages to purchasers of securities. Publish summary reports and share findings with partners at the firm to help determine whether to move forward with a new case.◦ Insider Trading Analysis: Use python and VBA to streamline insider trading reports. Visualize historical insider trading by creating dashboards in Tableau.◦ Regression Analysis: Create linear regression models to help identify statistically significant stock price changes. This exercise compares a peer group index and a large market index with the company of interest to determine which price changes were abnormal and thus company specific.

◦ Worked with a team of 3 students in my final semester of Georgia Tech's Masters in Analytics program to research and perform analysis of the most accurate and efficient machine learning techniques for data imputation. * Algorithms created in Python included K-Nearest Neighbors, XGBoost, and MICE (Multiple Imputation by Chained Equation). Stibo Systems was able to use our findings in helping clients impute missing data on their master data management platform

Supported WAXIE’s Northern California and Orange County branches through data analysis, business analytics, price optimization, and contract negotiation◦ Dashboard Creation: Created analytics dashboards in Microsoft Power BI for sales reps to visualize customer accounts and identify potential areas for growth for Waxie’s California branches. ◦ Cost Negotiation: Analyze historical sales data to identify areas where lower costs could be negotiated from manufacturers based on past and expected future order volume.