• 2x Magoon Award for Excellence in Teaching - given to outstanding teaching assistants in memory of Estus H. and Vashti L. Magoon• Course: IE332 - Computing in Industrial Engineering - machine learning (R), database management (SQL), and web development (HTML, PHP, JavaScript, and CSS)

NA Ad Data Solutions Team: Leverages data engineering, business analytics, and visualization solutions to drive advertising revenue growth by supporting the North America sales team with actionable insights.• Developed a dashboard for the Lead of Beauty Enterprise Accounts, highlighting current and forecasted key revenue, marketing, and engagement metrics such as ROAS, impressions, conversion rate, and reach. Estimated to amplify upsell pitches by 50x.• Gathered requirements from… Show more NA Ad Data Solutions Team: Leverages data engineering, business analytics, and visualization solutions to drive advertising revenue growth by supporting the North America sales team with actionable insights.• Developed a dashboard for the Lead of Beauty Enterprise Accounts, highlighting current and forecasted key revenue, marketing, and engagement metrics such as ROAS, impressions, conversion rate, and reach. Estimated to amplify upsell pitches by 50x.• Gathered requirements from stakeholders, designed ETL processes using Spark and Hive (SQL), established recurrent data updates with a task scheduler, and utilized TikTok’s BI tool for visualization.• Improved the process of a popular dashboard request (Share of Voice), reducing build time by 80%. This was achieved by creating a new process with a single ETL pipeline and dashboard that leverages a user permission feature embedded in the BI tool, eliminating the need for new tables for each request. Show less

Collaborated with the Danish data science team on developing statistical (SARIMA) and machine learning models (LSTM neural networks) for forecasting Nordic market energy prices (potential annual revenue impact: $13m). • Led a study to assess 17 exogenous variables to improve baseline univariate models, resulting in a recommendation to transition 50% of the models from statistical to neural networks methods.• Created a custom Python library for hyperparameter tuning with sliding… Show more Collaborated with the Danish data science team on developing statistical (SARIMA) and machine learning models (LSTM neural networks) for forecasting Nordic market energy prices (potential annual revenue impact: $13m). • Led a study to assess 17 exogenous variables to improve baseline univariate models, resulting in a recommendation to transition 50% of the models from statistical to neural networks methods.• Created a custom Python library for hyperparameter tuning with sliding validation (SARIMA).• Established an automated pipeline (based on Argo pipeline) for daily retraining of 3 neural networks.• Crafted a dashboard with Python's Dash library to support the energy trading team's decisions with insights from the models. Show less

• Developed the pitch deck for a potential funding round.

• Report: CFO• Led 3 teams (FP&A, Treasury, and Acquiring), with 5 direct reports.• Led the development of the transactions conciliatory process between Zig and acquirers (transaction-level verification; 1m transactions/month, project team: 2 direct + 1 indirect report).o Built data pipelines (SQL) to extract data from Zig’s system. o Designed specifications with the data engineering team to extract acquirers’ data via APIs. o Developed analytics engine with Excel and Power… Show more • Report: CFO• Led 3 teams (FP&A, Treasury, and Acquiring), with 5 direct reports.• Led the development of the transactions conciliatory process between Zig and acquirers (transaction-level verification; 1m transactions/month, project team: 2 direct + 1 indirect report).o Built data pipelines (SQL) to extract data from Zig’s system. o Designed specifications with the data engineering team to extract acquirers’ data via APIs. o Developed analytics engine with Excel and Power BI to identify inconsistent information. Show less

Lead analyst of the long-term financial planning and corporate finance team. Responsible for: recurring valuation of subsidiaries; definition of cost of capital; monitoring return on invested capital; impairment test with external auditors and credit ratings assessments.• Built Cogna’s official financial model (10 years forecast, discounted cash flow valuation) - the primary tool for long-term strategic and financial planning, presented quarterly to the C-suite and Board of… Show more Lead analyst of the long-term financial planning and corporate finance team. Responsible for: recurring valuation of subsidiaries; definition of cost of capital; monitoring return on invested capital; impairment test with external auditors and credit ratings assessments.• Built Cogna’s official financial model (10 years forecast, discounted cash flow valuation) - the primary tool for long-term strategic and financial planning, presented quarterly to the C-suite and Board of Directors.• Developed the historical analysis that convinced S&P’s team to revise their working capital modeling assumptions for the firm, contributing to the maintenance of Cogna’s brAAA 2020 rating.• Developed the financial models that supported the decision to record ~$500M goodwill impairment during 2020. Show less

Sole financial modelling analyst of the long-term financial planning and corporate finance team.• Developed the supporting financial models for the 2020 $500M follow-on offering.• Built dashboard to manage financial results of 56 new business units (~$60M net revenue in 2019).

Projects: Improving operational efficiency at one of the largest Brazilian architecture firms; reducing expenses in a large highway concessionaire and improving education KPIs in the state of São Paulo.• Supervised 2 colleagues during 6+ months, contributing to the $400K+ subsequent renewal of contract.• Led 10+ brainstorming sessions with managers and directors to identify root causes of problems in 2 processes.• Built model to collect 40+ KPIs in 90+ simultaneous projects and a… Show more Projects: Improving operational efficiency at one of the largest Brazilian architecture firms; reducing expenses in a large highway concessionaire and improving education KPIs in the state of São Paulo.• Supervised 2 colleagues during 6+ months, contributing to the $400K+ subsequent renewal of contract.• Led 10+ brainstorming sessions with managers and directors to identify root causes of problems in 2 processes.• Built model to collect 40+ KPIs in 90+ simultaneous projects and a dashboard using VBA to consolidate the data, analyze and present the results to the CEO and directors. • Trained, along with teammates, 300+ education professionals in PDCA methodology. Show less

• Identified a $200k+ savings opportunity by analyzing a 100+ lawsuits database, leading to a recommendation to enforce surveillance on a specific segment of one of the highways managed by the client (highway concessionaire).