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Matheus Muniz Damasco

Welcome, come here and take a coffee ☕!

I'm Postgraduate in Big Data Analytics and Data Science, and I'd like to share some of my study projects and you can connect with me below.

👋 Hello, I'm Matheus Muniz Damasco! My professional journey is driven by a passion for exploring the vast world of data and turning it into valuable insights. My goal is to build a solid career in the field of Data Science, always striving to uncover hidden patterns and tell compelling stories through data analysis.

🔍 As a Data Scientist, I have a strong willingness to take on new responsibilities and develop competencies in the field. My portfolio includes more than 30 projects in the Data field, demonstrating my ability to apply solid Knowledge of Excel, NoSQL, SQL & Database Design, Machine Learning, Cloud Computing, Programming Languages, Product Sense, ETL, Operational Systems, Big Data, Data Visualization Tools, and Version Control.

🛠️ Hard Skills:

  • Data manipulation with Python (pandas, numpy)
  • Statistical analysis and modeling (Scikit-Learn, Keras, and TensorFlow)
  • Data visualization (Matplotlib, Seaborn, Power BI, Tableau)
  • Proficiency in SQL and NoSQL for database queries and analysis (including advanced query optimization and performance tuning)
  • Cloud Computing using AWS, GCP, or Azure (deploying and managing cloud resources, configuring virtual machines, and utilizing cloud services for data processing and storage)
  • Containerization with Docker (creating, managing, and orchestrating containers for efficient development and deployment)
  • Version control with Git/Github (collaborative software development, branching, and merging)
  • Operating Systems (proficiency in MacOS and Linux environments)

🤝 Soft Skills:

  • Analytical Skills and Perfectionism: I strive for excellence in every detail, applying my analytical skills to approach problems in diverse ways and achieve the best possible results.
  • Continuous Learning and Adaptability: I am constantly seeking new concepts, exploring books, podcasts, and enhancing my academic background, which strengthens my skills and knowledge in the field. This continuous learning mindset is crucial in a constantly evolving field like Data Science.
  • Stress Resilience: I maintain composure in high-pressure situations, a crucial quality for overcoming challenges in the field of Data Science, where various complex variables and diverse issues exist.
  • Clear Communication and Positive Influence: I possess clear and diplomatic communication skills, enabling me to effectively resolve situations and positively influence people, facilitating communication with clients, stakeholders, and workgroups.
  • Enthusiasm and Dedication: Contagious energy and unwavering dedication to professional activities are essential traits for facing the challenges of Data Science.

🚀 I am always in pursuit of exciting challenges and opportunities for continuous learning. Let's connect and explore the world of data together!

⚡ Main Repositories:

Data Roadmap iFood Bootcamp Dados

🚀 Languages and Tools:

💻 Knowledge:

Excel Python Scikit Learn FastAPI Flask PostgreSQL MySQL MongoDB Power BI AWS GCP Docker Linux Git Github VS CODE

📚 Basic Knowledge:

Databricks Hadoop Azure Apache Airflow Kafka Redis Java C

🌱 I'm learning:

Keras TensorFlow Spark PyTorch Kubernetes

📊 My Stats:

languages graph streak graph

Thank you for your visit, and you're welcome! If you have any more questions or need further assistance, feel free to ask. You can connect with me below.

Matheus Muniz's Projects

data-roadmap icon data-roadmap

A roadmap with a tutorial about the data field in Portuguese created to assist people who want to enter the field.

ifood-adatech-data-bootcamp icon ifood-adatech-data-bootcamp

Repositório contendo os materiais e projetos desenvolvidos durante o bootcamp na ADA TECH em parceria com o iFood, focado na área de dados. O bootcamp consistiu em 8 módulos abrangentes, cobrindo desde lógica de programação até técnicas estatísticas e um hackathon final.

stock-market-app icon stock-market-app

This project is a web application using Python, CSS and Streamlit that allows users to track the prices of stocks using a real-time stock market API. This project use the Bollinger Bands to sinalize when you make a sell or make a purchase in the South America stock market.

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