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Silvestre17/README.md

Olรก! ๐Ÿ‘‹, I'm

Andrรฉ Silvestre

Aspiring ๐Ÿš€ Data Scientist/Engineer navigating the world of data from the land of pastรฉis de nata ๐Ÿ‡ต๐Ÿ‡น. I have a degree in ๐Ÿ“Š Data Science from ISCTE and I started a Master's degree in ๐Ÿ“ˆ Data Science and Advanced Analytics, specializing in DS at NOVA IMS. ๐ŸŽ“

I consider myself introverted ๐Ÿคซ but communicative ๐Ÿ’ฌ, and very perfectionist ๐ŸŽฏ (Yes, even aligning my Jupyter Notebook cells perfectly!) in everything I do. Think of me as a meticulous algorithm โ€“ I'm always optimizing!

Still waiting for my first official job, but my projects work overtime! ๐Ÿ‘จโ€๐Ÿ’ป, I consider myself to be hard-working ๐Ÿ’ช and self-taught ๐Ÿ“š, and in every project I undertake,

I always try my best. I love technology ๐Ÿ–ฅ๏ธ, news ๐Ÿ—ž๏ธ, and knowledge ๐Ÿง , which is why I took the Data Science course. At the moment, I'm interested in areas such as ๐Ÿค– Deep Learning and AI! ๐Ÿš€

Fluent in Python, but my debugging skills are still learning the language! ๐Ÿ

About me:

  • ๐ŸŒฑ Iโ€™m currently studying my masters in Data Science and Advanced Analytics (w/ a specialization in Data Science)

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at Gihthub Repository

  • โšก Fun fact: I love cooking ๐Ÿณ (still waiting for the day when AI can perfectly season my dishes) and learning more about everything ๐Ÿ”, because "The important thing is not to stop questioning" ๐Ÿง ๐Ÿ’ก (Einstein).

  • ๐Ÿ“š I'm currently learning Deep Learning and AI

  • ๐Ÿ“ซ How to reach me LinkedIn andrefgsilvestre


๐Ÿง  Languages:

Python SQL R PySpark Markdown LaTeX

๐Ÿ“‚ Databases:

MySQL MongoDB Neo4j

๐ŸŒ Web Development:

Streamlit HTML5 CSS3 Django

๐Ÿ“Š Data Science & Machine Learning:

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

๐Ÿซง Deep Learning:

TensorFlow Keras PyTorch Hugging Face LangChain

๐Ÿ› ๏ธ Tools/Frameworks:

Linux Bash Git GitHub Docker Databricks AWS
PyCharm Jupyter VS Code

๐Ÿค– AI Assistants & Productivity:

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

๐Ÿ“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

    ๐Ÿ’ฌ 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

    ๐ŸŒฟ 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 handโ€ฆ

    Jupyter Notebook 3 1

  3. CIFO_MusicFestivalLineup_GeneticAlgorithm_MasterProject CIFO_MusicFestivalLineup_GeneticAlgorithm_MasterProject Public

    ๐ŸŽถ 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 โ€ฆ

    Jupyter Notebook 1 1

  4. NEL_ChickenProteinPrediction_MasterProject NEL_ChickenProteinPrediction_MasterProject Public

    ๐Ÿ” 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

    ๐Ÿ• 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 fโ€ฆ

    Jupyter Notebook 1 1

  6. ML_PredictingWorkersCompensationClaimSeverity_MasterProject ML_PredictingWorkersCompensationClaimSeverity_MasterProject Public

    ๐Ÿค– 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. Developedโ€ฆ

    Jupyter Notebook 1 3