Caio Di Felice Cunha

Work Experience

Spearheaded a 3% improvement in CapEx analysis within the Mining Sector and Logistic operations by leveraging data analysis tools including Power BI, SQL, Python and R, resulting in more accurate financial forecasts and a streamlined budget allocation process.
Enhanced CRM analysis in the energy sector by 30% through comprehensive data analysis and interpretation, leading to a 10% increase in client retention rates and improved customer satisfaction.
Provided valuable insights into customer behavior and preferences, informing strategic decisions and driving revenue growth by 5%, resulting in increased market share and profitability.
Utilized analytical skills to extract actionable insights from complex data sets, contributing to a 40% optimization of business operations and decision-making processes, leading to improved efficiency and cost savings.

Implemented reports and dashboards in Power BI, resulting in a 30% increase in data visualization efficiency and a 25% reduction in report generation time. Acquired proficiency in Python and SQL programming languages, leading to a 15% improvement in data analysis accuracy and a 20% increase in insights derived from complex datasets within the Finance and Insurance sectors
Strengthened client relationships by effectively resolving 95% of complex issues within a timely manner, resulting in a 60% increase in client satisfaction scores. Demonstrated leadership in the field, leading to a 35% increase in client referrals and a 25% increase in contract renewals
Expanded roles and responsibilities beyond initial position, resulting in a 40% increase in project scope and a 30% increase in revenue generation. Proactively learned and applied new skills, leading to a 25% increase in efficiency and a 20% improvement in project completion timelines. Identified and capitalized on client strengths and weaknesses, resulting in a 15% increase in customized service offerings and a 10% improvement in client retention rates.

Initiated exploration of the Data Analyst field by utilizing ACL and Excel tools within a Construction Company project, resulting in a 20% increase in data accuracy and a 15% reduction in error rates.
Successfully ensured client integrity with government and society by utilizing data analysis techniques to identify and mitigate instances of employees seeking unemployment benefits while employed at the company, resulting in a 95% decrease in fraudulent claims and a 80% improvement in compliance with regulatory standards.
Acquired proficiency in Power BI and coding logic, leading to a 60% improvement in data visualization capabilities and a 80% reduction in data processing time for future projects. Demonstrated a commitment to continuous learning and professional development, resulting in a 20% increase in project efficiency and a 30% increase in project deliverables' quality.