Rodrigo A.

Devoteam

Sr Data Scientist

• Apr, 2022 - Present
• Remote

• Implemented a novel predictive analytics model, reducing customer churn by 15%.
• Led a cross-functional team to develop a scalable data pipeline, improving data accessibility and analysis efficiency by 30%.
• Published research in a top-tier journal on leveraging machine learning for personalized healthcare recommendations, contributing to advancements in the field.

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CRM Educacional

Sr Data Scientist

• Jan, 2020 - Jan, 2022
• Remote

• Pioneered the integration of natural language processing algorithms into customer service chatbots, resulting in a 40% reduction in response time and a 25% increase in customer satisfaction scores.
• Developed a dynamic pricing model using machine learning, which optimized pricing strategies based on market demand and competitor pricing, leading to a 15% increase in overall revenue and a 20% improvement in profit margins.
• Led the implementation of a recommendation engine for personalized content delivery, resulting in a 35% increase in user engagement and a 20% increase in average session duration on the company's digital platforms.
• Spearheaded the creation of a predictive maintenance framework for IoT devices, reducing equipment downtime by 30% and lowering maintenance costs by 25%, resulting in significant operational efficiency gains and increased asset reliability.

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TOTVS

Data Scientist

• Jan, 2018 - Jan, 2020
• Remote

• Engineered a novel anomaly detection algorithm that effectively identified fraudulent transactions in real-time, reducing financial losses by 70% and enhancing the security posture of the organization against cyber threats.
• Implemented a predictive inventory management system leveraging time series forecasting models, resulting in a 20% reduction in stockouts and a 15% decrease in excess inventory, optimizing inventory turnover and saving the company millions in carrying costs.
• Orchestrated the development of a sentiment analysis framework for social media data, enabling the company to gauge public sentiment towards its brand and competitors in real-time, leading to more informed decision-making and a 25% increase in brand perception.
• Designed and deployed a customer segmentation model using unsupervised learning techniques, enabling targeted marketing campaigns tailored to specific customer demographics, resulting in a 30% increase in customer acquisition and retention rates.

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Bessa Tecnologia

Data Scientist

• Jan, 2014 - Jan, 2018
• Remote

• Developed an advanced machine learning model that accurately predicted customer churn with an 85% accuracy rate, resulting in a 15% reduction in customer attrition and saving the company over $1.5 million in potential revenue loss annually.
• Designed and implemented a scalable recommendation system that personalized product recommendations for millions of users, resulting in a 30% increase in click-through rates and a 20% boost in overall sales revenue.
• Led a cross-functional team in the development of a predictive maintenance solution for manufacturing equipment, reducing downtime by 25% and saving the company over $2 million in maintenance costs annually.
• Conducted in-depth analysis of customer behavior using advanced statistical techniques and data visualization tools, uncovering key insights that led to the optimization of marketing strategies, resulting in a 40% increase in customer engagement and a 25% increase in conversion rates.

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