Leonardo Cintra

• LTV Modeling: Developed Lifetime Value (LTV) models, providing foundational metrics to define and optimize CAC/LTV ratios across different customer profiles.
• Propensity & Coupon Modeling: Built conversion propensity models to optimize coupon allocation. Established targeted coupon policies for customer acquisition and reactivation based on CAC/LTV thresholds.
• Customer Persona Clustering: Engineered data-driven personas, mapping clinical profiles, generation, gender, and social class to enhance user understanding and targeted marketing.
• Recommendation Systems Sellers: Designed a seller recommendation engine based on individual purchasing behaviors, optimized to maximize take rate and overall profitability.
• Product Analytics & A/B Testing: Partnered closely with the Product team to design, execute, and track A/B tests, validating hypotheses and guiding data-driven product decisions.

• Developed an elasticity-based pricing model that balanced commercial and business interests, maximizing returns by defining optimal price points. This model was applied to strategic decision-making.
• Co-developed a GenAI chatbot with RAG and an evaluation model, significantly accelerating responses to medical inquiries and expanding access to medical content.
• Built a churn prediction model for undergraduate students (Logistic Regression and XGBoost), utilizing SHAP for explainability. The insights supported strategic retention decisions.

Core Skills: RAG, Langchain, Langsmith, XGBoost, Pricing Model, Logistic Regression, Scikit-learn, Statsmodel, SHAP

• Modeled pricing in the logistics marketplace via A/B testing and logistic regression, identifying elasticity and incremental revenue opportunities.
• Developed demand forecasting models for the marketplace, improving inventory accuracy and commercial planning.
• Developed predictive customer churn models using machine learning, supporting retention and growth actions.

Core Skills: A/B Testing, Pricing, Machine Learning, Logistic Regression, Predictive Modeling, Scikit-learn, Statsmodels

• Modeled anomaly detection algorithms to identify fraud and enhance operational efficiency.
• Developed a real-time demand forecasting model integrated with dynamic pricing, maximizing commercial performance.
• Performed data analytics and BI for logistic costs, losses, and routing optimization.
• Led 5 stakeholders through key projects and initiatives.

Core Skills: Anomaly Detection, Dynamic Pricing, Demand Forecasting, Data Analytics, Business Intelligence, Leadership, Scikit-learn

• Modeled the impact of promotions (markdown) using logistic regression to predict conversion and optimize campaigns.
• Coordinated customer churn modeling projects at Rappi, guiding retention and growth decisions.
• Led strategic planning with C-level executives, translating OKRs to steer data projects.
• Managed and aligned 3 stakeholders.

Core Skills: Logistic Regression, Churn Modeling, Campaign Optimization, OKRs, Strategic Planning, Leadership, Scikit-learn

• Modeled courier earnings using logistic regression, leveraging forecasts and A/B tests to evaluate the impact of promotions and compensation.
• Developed courier fraud detection models, strengthening controls and reducing operational losses.
• Led a cost optimization plan through densification with the commercial team, analyzing distance and minimum nearby store count to maximize operational efficiency.
• Modeled modal mix optimization per city, improving resource allocation and logistical efficiency.
• Crafted a plan to boost acceptance rates after identifying discrepancies between in-app linear distance and actual distance, adjusting metrics and processes accordingly.

Core Skills: Logistic Regression, Forecasting, A/B Testing, Fraud Detection, Cost Optimization, Logistics, Operational Efficiency, Data Analytics

• Optimized the store waiting time algorithm, correcting post-pandemic distortions and enhancing operational predictability.
• Led a plan with the commercial team to optimize the volume vs. polygon trade-off, monitoring key metrics and analyzing impact on revenue and costs.
• Guided a plan with the product team to ensure user safety, eliminating improper code sharing between customers.

Core Skills: Algorithm Optimization, Data Analytics, Business Metrics, Product Security, Operational Efficiency, Impact Analysis

• Analyzed e-commerce data at BAT, supporting the ramp-up of new digital clients, retention, and churn.
• Evaluated promotions and developed a B2B benefits program.
• Reduced operational costs by decreasing sales representative visits.

Core Skills: Data Analytics, E-commerce, Customer Retention, Churn, Promotions, Benefits Programs, Cost Reduction

• Optimized delivery channels and digital expansion at BAT, focusing on POS analytics (acquisition, retention, frequency, AOV).
• Translated commercial goals into actionable strategies for the digital channel.

Core Skills: Data Analytics, Digital Expansion, POS Analysis, Acquisition, Retention, AOV, Commercial Goals

• Played a key role in cascading commercial objectives, performed analyses of partnership portfolio categories (activation, margin), and contributed to the strategic definition of digital expansion.

Core Skills: Goal Breakdown, Portfolio Analysis, Partnerships, Margin, Digital Expansion, Commercial Strategy