Hello! 👋 I’m Raísa Lemos Pedrotti, a data scientist passionate about the vast universe of data and always seeking new challenges and opportunities. It’s a pleasure to meet you! Welcome to my LinkedIn! To learn more about my work, visit my GitHub profile: @RaisaLemos.I am a professional focused on transforming data into results and solving business problems through data analysis, statistical experimentation, machine learning, and artificial intelligence. My experience in projects includes the creation of machine learning models, ranging from dataset exploration to validation and analysis of results, always seeking valuable insights in different market contexts.Currently, I am dedicated to enhancing my skills in the Data field, constantly seeking new learning and growth opportunities. I’m excited to dive deeper into this field and make meaningful contributions!I am... • Resilient and adaptable, with a focus on problem-solving through data-driven solutions. I collaborate on projects with data scientists, data engineers, and consultants to develop data products in various stages. I love facing challenges and using technology to find solutions!I have... • Experience in Python, including libraries such as NumPy, pandas, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. My work involves exploratory data analysis, predictive modeling, and applying machine learning techniques to solve business problems. • I worked on the development of a template focused on time series, a widely known problem in the Data Science field. This template integrates both basic and advanced statistical models to predict numerical results, whether on a daily or monthly basis. The predictive models are encapsulated in a class called "Pipeline," ready for immediate use by the user, with all necessary versioning and scripts already implemented. The main goal of this project is to create a POC accelerator, allowing data scientists to focus their efforts on more complex models while the foundational algorithms are already set up. In the future, we plan to develop additional templates to address regression, classification, and clustering problems.👨‍💻 About me:I’m 33 years old, based in Pelotas, Brazil. Currently in the 5th semester of Systems Analysis at UCPel, with experience in Python, SQL, Data Analysis, and Machine Learning. I hold a degree in Agronomy (2019) and a Master’s in Plant Breeding (2022). I also have 6 years of experience in agronomic research, focusing on plant breeding, plant physiology, and plant health, always seeking innovation in the sector.