Lucas Carrusca Email & Phone Number

Luxembourg City, LU

Florianópolis, Santa Catarina, Brazil

• Achievements:
• Reduced a 50X analysis time by automated real-time dashboards using Power BI, SQL, Python, and advanced data manipulation.
• Increased a 2.4% revenue by identifying a key untapped feature through predictive models (ML), Python, Power BI, SQL, Scikit-learn, and BigQuery.
• Increased a 4% revenue by predicting operational gains for a specific SKU using Python, SQL, and machine learning (XGBoost, TensorFlow).
• Predicted a 2% margin increase by optimizing COGS and eliminating revenue leakage with advanced analytics (Python, SQL, Linear Regression, Optimization).Context: RD Station is a Brazilian SaaS leader, offering.

Florianópolis, SC, Brasil

• Achievements:
• Reduced a 60X analysis time in KPI reporting by replacing spreadsheets with ETL processes and dynamic dashboards (Python, SQL, Power BI), updating in 10 minutes.
• Developed a 97% accurate by ML model (Python, Scikit-learn) to optimize financial forecasting.
• Mapped 100% of client financial journey flows, previously non-existent, by delivering a comprehensive and structured view (SQL, Power BI, Python, Trello).
• Led the creation and development of 100% of strategic and operational KPIs, previously unmapped, by fully defining and implementing them to enhance control and management (SQL, Power BI, Python).Context:I lead the.

Belo Horizonte E Região, Brasil

• Achievements:
• Reduced 18X analysis time by automating processes, to streamline reporting and enable real-time insights (Python, SQL, Power BI, ETL).
• Reduced a 30X analysis time during monthly closings by implementing automated dashboards and KPIs, to accelerate decision-making at critical business moments (Python, SQL, Power BI, ETL).
• Reduced a 6% operational costs by advanced data analytics and Machine Learning models, to mitigate variable risks and improve overall efficiency (Python, Scikit-learn, SQL).
• Achieved 100% completion of database architecture design, by leading prioritization of key data and modeling strategies, to build a robust structure supporting strategic decision-making (SQL, Python, SAP).Context.

Belo Horizonte E Região, Brasil

• Achievements:
• Achieved 100% completion of the data lake structure design by defining business rules, prioritizing data entities, and developing KPIs that previously did not exist, to provide a robust foundation for strategic.
• Reduced analysis time by 12X by automating processes that previously took hours, to accelerate daily reporting and improve efficiency (Python, SQL, Power BI, ETL).
• Reduced analysis time by 48X during monthly closings by developing automated KPIs, dashboards, and monitoring systems, to streamline critical business operations (Python, SQL, Power BI).
• Mitigated 5% of financial risk by designing a predictive algorithm for default behavior, enabling proactive risk management (Python, Scikit-learn, SQL).Context: MRV&CO is one of the largest and most renowned real.

Specialization, Business Analytics

Specialization, Pricing

Executive Mba, Process Management And Agile Methodologies

Bachelor'S Degree, Mining Engineering

Bachelor'S Degree, Mining Engineering