π Currently: I am pursuing a degree in Computer Science Engineering and exploring advanced topics in Data Science and Machine Learning.
π‘ Learning Goals for 2024: Deepen my knowledge in Machine Learning models and algorithms, with a particular focus on Convolutional Neural Networks (CNNs) and their applications.
π Fun Fact: I started my programming journey at the age of 12 with C++ and have since grown passionate about data science and machine learning.
π Languages: I speak English, German, Spanish, and Guarani.
π Objective: Leveraging my skills in Python, data analysis, and machine learning to drive actionable insights and create impactful solutions.
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Stock Machine Learning: Intelligent inventory management for a fabric company in Paraguay using machine learning. The project follows the CRISP-DM methodology and explores various models for time series forecasting, including Facebook Prophet.
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Acute Lymphoblastic Leukemia Classifier: A Flask-based web application for classifying leukemia images into specific types and stages using TensorFlow and scikit-image.
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Azure Voice-to-Text: A hackathon project that uses Azure Cognitive Services for text-to-speech and text classification, integrated into a medical consultation app called Poharogapp.
- Commits: Keep track of my contributions to various repositories and projects.
- Pull Requests: I actively contribute to open-source projects and collaborate with other developers.
- Issues: Engaging with the community by opening and resolving issues.
Feel free to reach out or explore my projects. I'm always excited to collaborate and share knowledge with fellow developers!
NicolΓ‘s Vargas
Python Programmer | Data Scientist | Data Analyst