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 innovative solutions that empower SMBs to attract, engage, and convert leads into customers. Our product suite covers the entire customer journey, in addition to offering advanced tools in CRM, conversational engagement, AI, and e-commerce.Technologies:- Python- SQL- GCP- Power BI- Data Studio- Machine Learning- R- Microsoft Office- TensorFlow- Scikit-Learn- PyTorchActivities:- Conduct advanced data analysis and statistical modeling to drive actionable insights for strategic decision-making.- Develop and maintain data pipelines to ensure clean, accurate, and timely data availability.- Apply machine learning algorithms to optimize processes, improve performance, and scale operations.- Design and deploy interactive dashboards and reports to communicate key metrics to stakeholders.- Perform market and financial analysis to identify growth opportunities and optimize revenue.- Automate repetitive reporting tasks, reducing manual effort and improving data accessibility.- Translate complex data into clear, actionable insights for leadership.- Monitor data quality, ensuring integrity across systems and sources.- Provide ad-hoc analysis to support business initiatives and contribute to overall efficiency and growth.

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 mitigation of financial and operational risks by developing and implementing advanced analytical models and revenue optimization strategies. My expertise lies in ensuring transaction accuracy, maximizing revenue through data analysis, machine learning, and dynamic pricing, while identifying key growth and retention opportunities.Technologies:- Python- SQL- GCP- Power BI- Data Studio- Machine Learning- R- Microsoft Office- TensorFlow- Scikit-Learn- PyTorchActivities:- Leverage advanced data analytics to identify and eliminate revenue leakage, optimize processes, and address system integration or business rule failures, ensuring financial efficiency and operational integrity.- Lead advanced analytics and machine learning initiatives to optimize revenue, reduce churn, and enhance scalability- Utilize financial modeling and market intelligence to deliver strategic, data-driven insights- Bridge technical expertise with business acumen to identify growth opportunities and drive efficiency- Provide executive leadership with data-driven insights for informed, strategic decision-making

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: Luggo, a proptech under MRV&CO, is a pioneer in the residential rental market with its smart, fully digital housing model.Technologies:- Python- SQL- Power BI- Data Studio- Machine Learning- R- Microsoft Office- OracleActivities:- Spearheaded the creation of the data department in a startup, overseeing the complete lifecycle of data infrastructure.- Contributed to designing the database architecture, ensuring scalability and efficiency for future data operations.- Led the development and implementation of streamlined data flows, optimizing data collection and processing processes.- Defined and established strategic data management processes to ensure high-quality data collection and integrity.- Applied advanced ETL techniques to transform raw data into structured, actionable insights.- Leveraged predictive analytics and machine learning models to drive data-driven decision-making and optimize business performance.- Developed dynamic, interactive dashboards to visualize key metrics and facilitate real-time reporting for stakeholders.- Fostered a data-driven culture by empowering teams with timely, relevant insights that enhanced operational and strategic decisions.

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 data-driven decision-making (SQL, Python, SAP).● 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 estate companies in Brazil, with over 40 years of industry experience. Specializing in the construction and sale of affordable and mid-range housing, the company is recognized for its innovation and commitment to accessibility.Technologies:- SQL- Power BI- Python- R- Microsoft Office- Oracle- SAPActivities:- Structured and analyzed key business indicators, transforming complex data into actionable insights for multiple departments.- Consulted on data structuring and integration across company systems, ensuring data integrity, accessibility, and consistency.- Developed and maintained dynamic dashboards to empower executive decision-making, offering a strategic view of business performance.- Provided operational and business support for specialized analysis requests, collaborating closely with stakeholders to address unique needs.- Fostered cross-departmental collaboration, driving improvements and supporting strategic decisions that optimized business efficiency and growth.- Delivered data-driven insights that informed key business strategies, enhancing operational outcomes and performance metrics.

Specialization, Business Analytics

Specialization, Pricing

Executive Mba, Process Management And Agile Methodologies

Bachelor'S Degree, Mining Engineering

Bachelor'S Degree, Mining Engineering