I am a Data Scientist with over 4 years of experience, specializing in applying advanced Data Science, Machine Learning, and Data Visualization techniques to solve complex problems, particularly in the areas of Telecommunications, environmental monitoring, and medical data. I hold a degree in Computer Engineering from the Federal University of Pará (UFPA), a Master's in Applied Computing from the UFPA Graduate Program in Electrical Engineering, and I am currently pursuing a Ph.D. with research focused on the application of predictive models and data analysis in collaboration with Ericsson.I have solid experience with tools and frameworks such as Power BI, Pandas, Plotly, Seaborn, Scikit-Learn, Keras, TensorFlow, and others, with proven skills in building and deploying Machine Learning models, including Neural Networks, Random Forest, SVM, Logistic Regression, among others. My work is distinguished by my ability to translate data into actionable insights, optimizing strategic decision-making for businesses.Key Competencies:- Data Analysis & Manipulation: Proficient in libraries such as Pandas, NumPy, Sweetviz, and others for analyzing and manipulating large datasets.- Data Visualization: Expertise in Plotly, Seaborn, DTALE, Dataprep, Dabl, and Power BI to create impactful visualizations that clearly and effectively communicate insights.- Machine Learning: Development and implementation of predictive models using Scikit-learn, XGBoost, - Neural Networks, Decision Trees, Random Forest, SVM, K-means.- Deep Learning: Keras, TensorFlow- Databases: Experience with SQL and MySQL for queries, data manipulation, and integration in ETL/ELT processes.- Process Automation: Creation of automated solutions using Pyautogui and Pyperclip to optimize workflows and enhance efficiency.Contact:📧 Email: albert.ecds@gmail.com📄 Lattes: http://lattes.cnpq.br/2750978494665970