Sacramento, California, United States
- Data Analysis & Visualization using R programming, Python, SQL, Tableau, Excel, Adobe Analytics, Google Analytics and Adobe Suite. - SQL databases: MySQL, Hive, SQL Server. - Data Mining and Machine Learning Algorithms. - Google Docs and Microsoft Office Expert skills. - Photoshop, Illustrator, InDesign, Corel Draw, Painter. - Extensive knowledge of Social Media analytics tools: Meta Ads Manager, Facebook Insights, Twitter Analytics, LinkedIn Analytics, YouTube Analytics, Radarly, Origami and Sprinklr. - knowledge of Google Tag Manager, HTML, DSP and Programmatic Advertising. - Placed 12th among 1200+ teams in a kaggle.com machine learning competition. - Proficient in Portuguese, Spanish and English. - Working knowledge of Linux/Unix.
- Organized, reconciled, and cleaned financial records, ensuring accurate bookkeeping and improving financial data organization across multiple accounts. - Consolidated POS and Heartland payment processing activity, tracking merchant fees and sales tax liabilities. - Demonstrated ability in expense tracking and automation enhancements to support tax filing accuracy and strengthen cost control measures. - Generated Profit and Loss, Cash Flow and Actual vs. Budget reports to support financial planning and business performance analysis. - Leveraged AI-powered tools to improve operational efficiency and generate data-driven financial insights that support more accurate decision-making and streamlined business processes.
- Managed private real estate lending investments and financial tracking analysis. - Monitored investment-related expenses, reporting, and financial performance.
- Delivered marketing performance analyses and insights, leveraging campaign strategies to maximize long-term ROAS. - Increased conversion rates by 20% through A/B testing and optimization of the company website. - Conducted customer behavior analysis to evaluate consumer journeys, attribution models, workflows, and trends to improve landing page effectiveness. - Leveraged Python to automate recurring reports, slashing generation time by 40%.