Renan Amaral

Professional Development Program — Data & AI

• Deliberately paused professional trajectory to invest in deep specialization, joining Indicium AI's selective professional development program focused on advanced Data Science, Analytics Engineering, and Artificial Intelligence.
• Engaging with cutting-edge methodologies in production-grade ML systems, modern data stack, and AI-driven solutions — bridging the gap between academic best practices and real-world enterprise application.
• Chosen as a strategic step to accelerate long-term career growth and expand expertise across the full spectrum of the modern data ecosystem.

Data Scientist

• Built an end-to-end data pipeline processing 10,000+ support tickets using Python, pandas, and NLP, automating the generation of a monthly PDF (xhtml2pdf + Jinja2 + matplotlib) report with operational KPIs refreshed every cycle.
• Applied Topic Modeling techniques (BERTopic, LDA, NMF) to automatically identify recurring sub-topics across support tickets, delivering a structured knowledge base for the platform's official FAQ.
• Supported the development of a machine learning model to predict customer purchase likelihood from transaction data, contributing to targeted marketing campaigns that achieved a 5% conversion rate increase.
• Created a Machine Learning forecasting model to optimize ATM replenishment processes, predicting demand and reducing unnecessary trips, generating up to 15% reduction in operational costs and rework.

Senior Data Analyst

• Refactored semantic models and improved DAX logic in underperforming BI solutions, delivering performance gains up to 94.3% across multiple projects.
• Developed GTM field promoter performance monitoring system, achieving 17% increase in customer visits within initial months through route optimization insights.
• Led enterprise-wide BI migration from Tableau to Microsoft Fabric/Power BI, successfully transitioning 25+ reports and 30+ datasets within 5-month deadline while delivering substantial licensing cost savings.
• Mentored a team of 11+ data analysts, providing hands-on training in Excel, SQL and Power BI enhancing team proficiency, analytical thinking and overall project delivery quality.

Data Analyst & Power BI Developer

• Spearheaded Power BI migration at Salvador Airport (VINCI Airports), replacing Excel-based analyses with automated KPI monitoring that delivered BRL 13.6M in annual contract bonuses and penalty avoidance.
• Designed revenue monitoring system for airport retail concessionaires, providing predictive analytics that increased commercial revenues by BRL 7M annually through optimized leasing decisions and forecasting.
• Reduced aircraft turnaround time by 12 minutes through root-cause analysis of ground services, unlocking 8% capacity increase without capital investment.
• Implemented airline SLA monitoring across passenger touchpoints (check-in, baggage, security), driving 20% improvement in passenger satisfaction scores through data-driven accountability.
• Partnered with cross-functional stakeholders across airport operations, airlines, retail, and executive leadership to drive operational improvements through data analytics.

Civil Engineering Internship

• Increased maintenance SLA from 63% to 85% across 637 branches in 3 states by developing data-driven prioritization methodology that combined maintenance planning with inspection reports, enabling shift from reactive to preventive maintenance.

Civil Engineering Internship

• Managed end-to-end construction budgeting and planning processes including quantity take-offs, cost estimation, WBS creation, and performance tracking using S-curves and completion forecasts.
• Built predictive model using simple linear regression on historical precipitation data to estimate working day impacts, differentiating between outdoor and indoor activities to improve construction schedule reliability.