I am a bilingual economics professional with a strong background in data analysis, business intelligence, and talent acquisition. I enjoy turning complex data into practical insights that help teams make better decisions and improve performance.
I have worked across operations, consulting, recruiting, trading, and economics, which has given me a broad perspective on how data supports business growth. I am especially comfortable working with Python, SQL, Excel, Tableau, Looker Studio, and Power BI to clean, analyze, and visualize information.
In my recent roles, I have focused on operational data pipelines, dashboard development, ETL processes, and process optimization. I have also partnered closely with leadership and cross-functional teams to define KPIs, improve workflows, and support strategic decision-making.
My experience in talent acquisition strengthened my ability to analyze funnels, identify inefficiencies, and improve candidate experience through data-driven actions. I also developed strong sourcing, stakeholder management, and communication skills while working in fast-paced, high-volume environments.
Earlier in my career, I worked in economics, financial analysis, and stock trading, where I learned to interpret market signals, synthesize information quickly, and make decisions under pressure. These experiences helped me build strong analytical thinking and business judgment.
I am highly autonomous, detail-oriented, and continuously learning. I value collaboration, adaptability, and clear communication, and I aim to use data to solve problems, streamline processes, and support growth in modern, data-driven organizations.
Managed daily student identity downloads via SFTP, automated course setup, cleaned and processed large-scale catalog data, monitored and reconciled digital asset configurations, handled high-priority Salesforce cases, and supported data integrity and operational workflows during the RedShelf-VitalSource integration.
Collaborated with end-users to define business rules, designed ETL processes from SAP HANA and SQL Server, and developed Power BI dashboards for senior management to support data-driven decision-making and process optimization.
Defined hiring funnel KPIs, analyzed candidate pipeline data, improved candidate experience, reduced drop-off by 15%, negotiated offers using salary market data, and sourced candidates through job boards, social media, networking, and LinkedIn Recruiter.
Built data-driven sourcing strategies, used Boolean search and ATS tools to manage candidate flow, performed root cause analysis on candidate data, reported sourcing metrics, and collaborated with cross-functional teams on reporting and strategic analysis.
Monitored and analyzed real-time financial data from the NY stock market to identify speculative trading opportunities and support rapid decision-making.
Prepared newsletters, case studies, and economic news analysis on Latin America, synthesizing complex information into strategic insights for stakeholders.
Taught fundamental English lessons to children and strengthened communication and organizational skills.
Economist
Data Science Workflow with Jupyter Notebooks and Anaconda; Statistics and Probability; Tableau; Negotiation Techniques; Financial Excel; Introduction to AI; Intermediate Excel; Technology for Directors and Managers
SQL for Data Science
Data Analytics Essentials
Data Analyst Track; Data Analyst in SQL
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