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mmaisonnave/README.md

πŸ‘‹ Hi, I'm Mariano!

I am a Machine Learning and Data Science Specialist with a Ph.D. in Computer Science and over 8 years of experience in Machine learning and AI. My main projects focus on research on:

  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Causality Analysis
  • Time Series Analysis
  • Explainable Machine Learning Tools
  • Healthcare Analytics

🌱 What I'm Learning

  • πŸ“¦ Expanding skills in AWS and cloud computing.
  • πŸ” Strengthening expertise in Data Structure and Algorithms through problem solving (LeetCode).

πŸ’‘ A Bit About Me

  • 🌎 Originally from Argentina, now calling Nova Scotia, Canada, home.
  • πŸ‰ Spent many years playing rugby (and still missing it sometimes).
  • 🍳 Love listening podcasts while cooking.

πŸ“« Let's Connect

Feel free to explore my repositories and reach out with collaboration ideas!

Pinned Loading

  1. unplanned-hospital-readmission-prediction unplanned-hospital-readmission-prediction Public

    Explainable ML applied to healthcare data from Nova Scotia (Canada) to identify patients at risk of unplanned hospital readmission.

    Python 1

  2. invoice-management-system invoice-management-system Public

    Invoice Handling System using Java and SQL for backend operations, with a JavaFX-based frontend. It manages database operations, tracks transaction and invoice histories, and generates PDF reports …

    Java

  3. eletricity-demand-causality-based-forecasting eletricity-demand-causality-based-forecasting Public

    Experiments for the paper "Learning Causality Structures from Electricity Demand Data" using causal discovery tools to improve energy demand forecasting using energy consumption data from Argentina.

    Jupyter Notebook 1 1

  4. high-recall-information-retrieval-system high-recall-information-retrieval-system Public

    A Python-based Jupyter notebook system for high-recall text retrieval in large databases, leveraging active learning to efficiently label instances and train models for identifying relevant documents.

    Jupyter Notebook

  5. ongoing-event-detection ongoing-event-detection Public

    Experiments for the paper "Detecting ongoing events using contextual word and sentence embeddings" using BERT embeddings and LSTMs neural networks to detect ongoing event mentions in news articles.

    Jupyter Notebook

  6. hurricane-fiona/nasa hurricane-fiona/nasa Public

    Working prototype by Team FIONA at the NASA Space Apps Hackathon Challenge 2022

    Python