Raquel Vidal

As a Data Scientist with a background in Computer Engineering, I have gained extensive experience in software development and leveraging data to solve complex business problems. I have successfully transitioned to Data Science and completed notable projects, including developing a daily sales forecasting model that optimized financial planning and creating a classification system for cross-selling in retail using customer transaction data. I am excited to apply my skills and passion for Data Science to drive growth and innovation in a new opportunity.

• I am an experienced and passionate professional in the field of Data Science, with a strong background and proven skills in developing comprehensive solutions in this domain. My previous experiences as a Data Scientist have allowed me to utilize a wide array of widely-used tools and technologies, such as Python, Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn, Flask, Jupyter Lab, Git, and Github.
• I highlight my contribution in building a management dashboard for a Delivery Marketplace, providing visual and comparative analysis of restaurant reviews from different regions around the world. Additionally, I have been involved in the development of a daily sales forecasting model, resulting in significant cost savings for the organization.
• With expertise in building classification systems for cross-selling in the retail context, I have the ability to leverage customer transaction data and product attributes to identify cross-selling opportunities.
• In addition to my experience as a Data Scientist, I have also worked as a Research and Development Scientist, where I developed an educational system to enhance children's literacy, utilizing Python and C# to automate data retrieval and implement logic in educational games.
• My teaching skills have been demonstrated during my tenure as a Professor, where I taught computer science courses and led the development of a web-based system for protocol request and monitoring.
• As a Software Developer, I have spent seven years working on virtual reality systems in the healthcare industry, automating processes with Python and utilizing C#, JavaScript, and Unity3D to create behaviors, user interfaces, and animations.
• My comprehensive and diverse experiences make me a highly qualified and versatile candidate for the Data Scientist position. I am excited to continue growing professionally and contribute my knowledge and skills to the success of your company.

Master's degree in Systems and Computing Instituto Militar de Engenharia, Rio de Janeiro [01/02/2015 – 12/08/2017]

I hold a Master's degree in Systems and Computing from Instituto Militar de Engenharia, Rio de Janeiro, which has provided me with a strong academic background and specialized knowledge in this field. This educational achievement reflects my commitment to continuous learning and equips me with valuable expertise to excel as a Data Scientist. I am eager to leverage my skills and education to contribute to innovative solutions and make a positive impact in the industry.