Development, standardization and documentation for the Finance Department. Processes automation with Python and VBA, reducing manual work across multiple teams. Average manual worktime was reduced to ~2-3 hours per process, allowing the focus of the workforce to be shifted to analytical tasks instead of manual tasks. Multiple data pipelines development, sourced from Salesforce, using several ETL processes including python scripting and Knime automation. Development of complex data models for ETL and Dashboard sourcing processes. Dashboard creation and maintenance across multiple departments, and for both internal and external users. Included PowerBI and Looker dashboards. Measurement of sanity metrics through KPIs for tracking ROI, P&Ls and ARs. Information gathering through user interviews and processes study. Financial planning (FP&A) including Budgeting, P&L and forecasting.

Information gathering for Data Flow and Data Pipeline development. Definition, organization and management of requirements for data pipeline development. Roadmap development and milestone definition for the implementation, development and hand-off of the product. Development of an ETL process through Knime. Lead the communications with clients including: Interviews, information gathering, training and scope definition.

Point of contact for 50+ technical interviewers ensure due process compliance for the Technical Interviews and Talent Acquisition Team. KPIs & OKRs measurement ensuring process compliance for metrics tracking. Agentic AI app development for processes automation, reducing around 3 hours of manual work daily. Prompt Engineering for task automations and optimization through Generative-AI. Development and maintenance of Looker, Tableau and Google Sheets dashboards. Process evaluation and automation for multiple departments, based on blocker identifications and exhaustive tasks identification. Data cleanse for ad-hoc reports across multiple departments. JIRA dashboards maintenance.

Data pipeline Development for sourcing multiple reports across several departments, centralizing the data ingestion process in an unique normalized source. Development and Management of multiple Excel Dashboards and Report, using VBA and Python to automate the daily update, cleansing and audit process. Use of SQL for querying -for ad-hoc reporting and data pipelines. Development and implementation for multiple data cleansing processes. Reducing manual work that took around half a workday to be completed.

Fixed Assets Stocktaking, ensuring inventory data is accurate. Statistical Analysis based on current market share, providing data-driven reporting for stakeholders. Automation using VBA to speed up the conciliations, reducing errors on exhaustive manual tasks. Reporting done through Excel, keeping the process autonomous and fully automated.

Data validations and fixed assets consolidation automation via VBA, reducing human errors and increasing the overall efficiency of the appraising process. Statistical Analysis for fixed assets valuation, based on current marked pricing, providing data-driving insights for stakeholders. Fixed Assets Stocktaking, ensuing inventory data compliance. Redefine Fixed Assets data model, ensure data is accurate and scalable for future evaluations.

Process automation and optimization for eCommerce using VBA and JavaScript, reducing manual work up to 3 hours per process to a few seconds of automated, autonomous runs that allowed human workforce to focus on analytic tasks. Reporting management and automation directly extracted from SAP and transformed into actionable insights through VBA scripts in Excel. Dashboard development and management in Excel and Google Sheets. Data cleansing and pre-processing for ETL processes using SQL, VBA and JavaScript, ensuring the integrity of data structures and data models for reporting. KPI Development and follow-up to ensure compliance from the department processes. Data scrapping for reporting and KPIs development using JavaScript, Google Apps Scripts and Google Sheets.