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Silvestre17/README.md

OlΓ‘! πŸ‘‹, Sou o AndrΓ© Silvestre

Aspiring πŸš€ Data Scientist/Engineer navigating the world of data from the land of pastΓ©is de nata πŸ‡΅πŸ‡Ή. I have a degree in πŸ“Š Data Science from ISCTE and I started a Master's degree in πŸ“ˆ Data Science and Advanced Analytics, specializing in DS at NOVA IMS. πŸŽ“

I consider myself introverted 🀫 but communicative πŸ’¬, and very perfectionist 🎯 (Yes, even aligning my Jupyter Notebook cells perfectly!) in everything I do. Think of me as a meticulous algorithm – I'm always optimizing!

Still waiting for my first official job, but my projects work overtime! πŸ‘¨β€πŸ’», I consider myself to be hard-working πŸ’ͺ and self-taught πŸ“š, and in every project I undertake,

I always try my best. I love technology πŸ–₯️, news πŸ—žοΈ, and knowledge 🧠, which is why I took the Data Science course. At the moment, I'm interested in areas such as πŸ€– Deep Learning and AI! πŸš€

Fluent in Python, but my debugging skills are still learning the language! 🐍

About me:

  • 🌱 I’m currently studying my masters in Data Science and Advanced Analytics (w/ a specialization in Data Science)

  • πŸ‘¨β€πŸ’» All of my projects are available at Gihthub Repository

  • ⚑ Fun fact: I love cooking 🍳 (still waiting for the day when AI can perfectly season my dishes) and learning more about everything πŸ”, because "The important thing is not to stop questioning" πŸ§ πŸ’‘ (Einstein).

  • πŸ“š I'm currently learning Deep Learning and AI

  • πŸ“« How to reach me LinkedIn andrefgsilvestre


🧠 Languages:

Python SQL R PySpark Markdown LaTeX

πŸ“‚ Databases:

MySQL MongoDB Neo4j

🌐 Web Development:

Streamlit HTML5 CSS3 Django

πŸ“Š Data Science & Machine Learning:

NumPy Pandas Scikit-Learn XGBoost/LightGBM/CatBoost
Matplotlib Seaborn Plotly
SciPy igraph NetworkX PuLP
BeautifulSoup Selenium

🫧 Deep Learning:

TensorFlow Keras PyTorch Hugging Face LangChain

πŸ› οΈ Tools/Frameworks:

Linux Bash Git GitHub Docker Databricks AWS
PyCharm Jupyter VS Code

πŸ€– AI Assistants & Productivity:

ChatGPT Grok Google AI Studio
Mistral AI GitHub Copilot Google Gemini Hugging Face

πŸ“ˆ Data Visualization:

Tableau Power BI RStudio

GitHub Stats:

Silvestre17


WakaTime Stats:

Silvestre17

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  1. ChatMeter_FinalProject.inDataScience ChatMeter_FinalProject.inDataScience Public

    πŸ’¬ Capstone project for the Data Science bachelor's at ISCTE. "ChatMeter" is an AI solution analyzing social media sentiment and topics for Portuguese telecom operators using Transformers.

    Jupyter Notebook 1

  2. DL_RareSpecies_ImageClassification_MasterProject DL_RareSpecies_ImageClassification_MasterProject Public

    🌿 Deep Learning project classifying rare species from images using the BioCLIP dataset. Features transfer learning (ConvNeXtBase), innovative data cleaning with CLIP (zero-shot), and imbalance hand…

    Jupyter Notebook 3 1

  3. CIFO_MusicFestivalLineup_GeneticAlgorithm_MasterProject CIFO_MusicFestivalLineup_GeneticAlgorithm_MasterProject Public

    🎢 Using a Genetic Algorithm (GA) to solve the multi-objective music festival lineup problem: maximizing popularity & diversity while minimizing fan conflicts. Developed for the CIFO course at NOVA …

    Jupyter Notebook 1 1

  4. NEL_ChickenProteinPrediction_MasterProject NEL_ChickenProteinPrediction_MasterProject Public

    πŸ” Master's project comparing 6 Neural & Evolutionary Learning models (GP, NEAT, NNs) to predict protein in chicken carcasses using a 10x10 Nested CV. Developed for the NEL course at NOVA IMS.

    Jupyter Notebook 1 1

  5. DM_FoodDeliveryClustering_MasterProject DM_FoodDeliveryClustering_MasterProject Public

    πŸ• Data Mining project for "ABCDEats Inc." using clustering (K-Means, SOM) to segment customers based on purchasing behavior. Includes an interactive Streamlit dashboard for exploration. Developed f…

    Jupyter Notebook 1 1

  6. ML_PredictingWorkersCompensationClaimSeverity_MasterProject ML_PredictingWorkersCompensationClaimSeverity_MasterProject Public

    πŸ€– Machine Learning project to predict the severity of workers' compensation claims using CatBoost & Random Forest. Deployed as an interactive Streamlit app with LIME for interpretability. Developed…

    Jupyter Notebook 1 3