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Thriving
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  • CIMAT Monterrey
  • Monterrey, N.L., México
  • LinkedIn in/cesar-ac

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CesarArcano97/README.md

Hello there 👽

Hello there Obi-Wan

👋 About Me

Hi! I'm César Aguirre, a Physicist passionate about Machine Learning, Deep Learning, and Artificial Intelligence, currently pursuing a Master’s in Statistical Computing at CIMAT Monterrey .

🎓 M.Sc. Statistical Computing (2024–2026) – CIMAT, Monterrey

🎓 B.Sc. Physics (2017–2022) – UNAM, Mexico City

My interests lie in Statistical Inference, Optimization, NLP, Computer Vision, Multimodal Learning, and AI applications.

🛠️ Languages & Tools

Activities & Recognitions

  • 👨‍🏫 Teaching Assistant at CIMAT (Jan 2026 – Present).
    • Courses: Data Science & Programming and Algorithm Analysis.
  • 🎤 Selected Speaker – 58th National Congress of the SMM (Oct 2025).
    • Presented: "Language Models and Deep Learning for Sentiment Analysis in Spanish".
  • 🔬 Research Assistant at CIMAT – Data reduction & clustering.
  • 🏅 Honorable Mention – Rest-Mex 2025 (International Rest-Mex Forum)
    • Sentiment Analysis on Magical Towns (ranked 7th/70 teams).
  • 📊 Outstanding Participation – DSC Datathon 2025 (Tecnológico de Monterrey)
    • Innovative applications of data science in industry challenges.
  • 🧭 Workshop Speaker – 1st International Congress on Artificial Intelligence (UNAM, 2025)
    • Astronomy and Deep Learning: Identifying extragalactic objects.

Featured Projects

  • 🎵 Hybrid Two-Tower Architecture for Multimodal Music Recommendation (2025) - Developed a SOTA Late Fusion system using SASRec for sequential modeling and a multimodal Item Tower.

    • Integrated Audio (ResNet-18), Lyrics (mDeBERTa + LoRA), Vision, and Tabular metadata using InfoNCE loss.
    • Managed MLOps lifecycle with DVC and uv for robust reproducibility.
    • Tools: Python, PyTorch, Transformers, Computer Vision, MLOps.

  • 📈 Stochastic Modeling of Demand in Video Games (Steam) (2025) - Developed a SARIMAX dynamic regression model to predict Concurrent Users (CCU) on the Steam platform.

    • Integrated seasonal component analysis and exogenous shocks (sales/updates) to quantify "Download Lag" in AAA titles.
    • Optimized infrastructure resource management and reduced operational risks.
    • Tools: Python, Time Series, Statistical Modeling, Forecasting.

  • ⚽ Multivariate Analysis of Premier League Performance (2025)

    • Applied factor analysis & MDS to uncover hidden patterns in football analytics.
    • Tools: R, Python, Multivariate Statistics.

  • 🤖 Hybrid NLP Models for REST-MEX 2025 (2025)

    • Designed a hybrid system combining Transformers (BETO) + Word2Vec + MLP.
    • Tasks: sentiment analysis, destination classification, magical town recognition.
    • Results: Macro F1 = 0.60 (polarity), 94.6% accuracy (destination).

  • 🪐 Neural Networks for Extragalactic Object Classification (Thesis, 2024)

    • Used FITS astronomical data + CNNs to classify galaxies and quasars.
    • Tools: Python, TensorFlow-Keras, SQL.

  • 🌟 Box-Cox Transform for Stellar Mass–Luminosity Relation (2024)

    • Applied Box-Cox transformation to improve prediction of stellar luminosity.
    • Tools: R, Statistical Inference, Astronomy.

Contact

“Our future is a race between the growing power of our technology and the wisdom with which we use it. Let’s make sure that wisdom wins.”
— Stephen Hawking

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