Murilo Zangari Email & Phone Number

São Paulo, Sp, Br

São Paulo, Sp, Br

Florianópolis, Santa Catarina, Brazil

Full-stack Software Enginnering- Front-end: React, Next.js, Tailwind CSS, JavaScript- Back-end: Python, Django, PostgreSQL, Javascript - DevOps: Docker, AWSBusiness applications for Marketing and Recruitment

Dublin, County Dublin, Ireland

- Investigated and resolved over 100 Intellectual Property reports daily, monitoring and taking down IP infringing content (images, videos, texts, pages), mitigating any possible risk that users breaking Copyright and Trademark regulations could create, ensuring compliance with Meta's terms of service and data protection regulations- Responded to users' inquiries with high quality, empathy, and accuracy. - Achieved a weekly quality score exceeding 95%, leading to top ranking in quality assessments. Recognized as Employee of the Quarter for exceptional performance and leadership.- Assisted new hires with monitoring sessions in their first weeks. - Improved my attention to details, resilience, empathy, leadership, and effective communication skills while working under pressure and meeting productivity goals.

Maringá Area, Brazil

- Innovated meta-heuristic algorithms integrated with machine learning models to efficiently solve complex scheduling problems.- Conducted extensive data analysis in Python, using statistical methods, data visualization, hypothesis testing, and evaluation metrics to present significant research findings.- Published three articles in top-tier journals, contributing valuable knowledge to the computational intelligence research community.

Curitiba, Paraná, Brazil

- Developed innovative Machine Learning-based solutions in C++ to solve complex multi-objective combinatorial optimization problems, such as optimizing delivery routes for logistics companies to minimize fuel consumption and travel time, and creating dynamic scheduling systems for manufacturing plants to maximize production efficiency and minimize downtime.- Achieved the state-of-the-art results from the literature in 100% of the applied case studies proven via comprehensive statistical analysis, hypothesis testing, data visualization, and performance metrics in Python. - Presented findings at international conferences, and published 8 articles in top-tier journals, contributing valuable knowledge to the Computational Intelligence research community.

Maringá, Paraná, Brazil

- Developed a Machine Learning-based classification solution in Java for data mining, successfully applied to a large health insurance dataset to identify patterns and predict customer behavior, enhancing risk assessment and decision-making processes.- Conducted data preprocessing with Python, including data cleaning, transformation, integration, feature engineering, outlier treatment, and addressing class imbalance, to ensure high-quality and a reliable dataset for accurate model development.- Performed in Python statistical analysis and built visualizations, revealing actionable insights for stakeholders to reduce costs and plan disease prevention programs.- Published two peer-reviewed scientific articles. Improved my skill in communication and data storytelling.

Doctor Of Philosophy (Ph.D.), Computational Intelligence, Computer Systems, Optimization, Computational Intelligence

Doctoral Exchange Program

Master’S Degree, Computer Science, Data Mining, Big Data, Optimization And Classification Task.

Bachelor’S Degree, Computer Science, Software Engineering