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Emily Costa
Business Analyst @Capgemini
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WORK HISTORY
Business Analyst @Capgemini
Apoio iniciativas de análise de negócios em ambientes Salesforce, atuando na coleta de requisitos, modelagem de processos e identificação de lacunas entre sistemas e fluxos de dados.• Aplico boas práticas de documentação, controle de versão e organização de requisitos técnicos para garantir a governança das entregas.• Participo da criação e execução de testes manuais e funcionais, contribuindo para a validação de pipelines de dados em sistemas de CRM.• Colaboro com equipes técnicas no desenvolvimento e monitoramento de soluções focadas em qualidade e rastreabilidade de dados entre sistemas.• Modelo e documento regras de negócio para viabilizar soluções de dados mais estruturadas e eficientes.
EDUCATION
UFMA - Universidade Federal do Maranhão
Bachelor’s Degree in Computer Science, Computer Science
UFMA - Universidade Federal do Maranhão
Master’s in AI Applied to Aerospace Systems – UFMA (Federal University of Maranhão), Artificial Intelligence and Computer Vision
Uniamérica
Postgraduate Degree, Data Modeling/Warehousing and Database Administration
ABOUT EMILY COSTA
Data Analyst with a Bachelor\'s degree in Computer Science and experience in BI projects, datavisualization, and machine learning. I have hands-on experience with Salesforce environments andacademic research projects focused on artificial intelligence, recommendation systems, and predictiveanalysis. Over the course of my journey, I’ve led initiatives involving dashboard development,educational data analysis, and applied statistics in healthcare, with strong proficiency in Python,Power BI, and Excel.I bring an analytical, curious, and collaborative mindset, with the ability to transform data into strategicinsights and actionable outcomes. I’m passionate about continuous learning and solving real-worldproblems through data. Skills, Tools & Technical ExpertiseData Visualization & BI: Power BI, Google Forms, TrelloLanguages & Analytics: Excel, Python (Pandas, Scikit-learn, Seaborn, Matplotlib), SQL, Statistical AnalysisMethodologies: Scrum / KanbanPlatforms & Environments: Git, Jupyter Notebook, SalesforceTechnical Focus Areas: Machine Learning, Recommender Systems, Learning Style Analysis, Predictive Analytics, Operational Analysis Key Deliveries & Relevant ProjectsBody Fat Percentage Prediction Using Anthropometric Data:Research project analyzing health-related data and building regression models for predictive insights.Sales and Operations Dashboards:Designed Power BI dashboards to track sales volume, travel delays, main destinations, and passenger flow. Integrated data with Trello to support real-time decision-making.Student Learning Style Analysis:Collected and analyzed student responses to identify predominant learning styles and support personalized education strategies. Why connect?I’m looking for opportunities as a Data Analyst to apply my technical skills in real-world scenarios and contribute to data-driven solutions.I believe in the power of curiosity, collaboration, and innovation to create business impact.If you’re seeking someone with a passion for data, an investigative mindset, and strong delivery focus — let’s connect!
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