Vitor Galvão Lopes Email & Phone Number

São Paulo, Brazil

São Paulo

I create and execute strategies for transforming raw data in actionable insights for Big Pharma. • Worked with the largest health dataset in Brazil (DATASUS) and private hospital data.• Developed automations that resulted in a 40%-60% time savings for consulting project delivery.• Created data abstractions and custom functions to analyze complex longitudinal datasets and provide insights for pharma customers

São Paulo

Contributed to the dynamic landscape of AI-driven solutions. I supported the product manager/product owner in market research, business analyses, applying agile methodologies, and collaborating with the UX team to map personas for product design.Key Contributions:- Client-Centric Approach: Participated actively in client interviews alongside the UX team, integrated valuable feedback into the iterative design process, and ensured our data products aligned seamlessly with user needs.- Engaged in the Design Thinking process, leveraged creativity and empathy to develop innovative solutions.- Managed tasks proficiently using Notion software, contributed actively to the continuous improvement of organizational structures, and fostered efficiency within the team.- Utilized Pandas, SQL, and Python daily for data extraction, analysis, and report generation, showcased a commitment to hands-on problem-solving and technical expertise.- Prioritization of features under the Pharma vertical, ensured alignment with business goals and client needs.- Contributed actively to Generative AI initiatives, collaborated with AI engineers to enhance the capabilities of our health data products.

São Paulo

LACDA-USP is an academic league aimed at discussing public health problems through data. The scientific coordination assignment involves requirements analysis, data analysis, strategic planning and project management.

São Paulo

I had the valuable opportunity to work with real-world data (RWD) and real-world evidence (RWE) studies for pharmaceutical industries. During my internship, I participated in the process of translating complex data into actionable insights through consulting.Key achievements and responsibilities:Collaborated with experienced professionals, supporting end-to-end projects by collecting and transforming data into meaningful information for decision-making.Acquired proficiency in Python and Pandas to handle large amounts of data. This skill allowed me to identify essential patterns and trends, turning raw data into actionable insights.Faced and solved challenges related to working with real-world data, applying critical thinking and problem-solving.

São Paulo

Search for new protein inhibitors from molecular modeling and in silico prediction strategies. Structural Based Drug Design (SBDD) techniques were applied to study the stability of ligands against the PCSK9 protein, as well as large-scale molecular dynamics simulations to elucidate structural mechanisms.