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mariaclaraav/README.md

Hi there, I'm Maria 👋

  • 🔭 I'm a Resercher Data Scientist finishing my MSc degree at UNICAMP
  • 🏄 I am passionate about machine learning and a fast learner
  • 🎓 I hold a Mechanical Engineering degree

🛠 Work Experience

Enthusiastic about technology and innovation, I am a data scientist with a background in mechanical engineering. I have already worked on multidisciplinary data science projects, including condition monitoring, evaluation of material microstructure, quality control, and Twitter bot detection.

  • Implemented unsupervised learning techniques, including LSTM and variational autoencoders, to recognize patterns in sensor data;
  • Developed models for detecting anomalies in railway tracks based on sensor data from an Instrumented Railway Vehicle;
  • Applied supervised learning techniques to develop a non-destructive method for grain size evaluation using ultrasound data;
  • Applied neural networks to perform coordinate system transformations of track irregularities;
  • Monitored operational KPIs in a thermal power plant;
  • Optimized sensor placement using Sparse Sensing.

🦄 Skills

  • Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciKit-Learn, TensorFlow, Keras) and MATLAB
  • Machine Learning and Deep Learning
  • Time Series Forecasting and Anomaly Detection
  • Regression and Classification
  • Databases: SQL

📫 Get in Touch

LinkedIn Portfolio Google Scholar

Feel free to reach out to me for collaboration or just a friendly chat about data science and engineering! 🤗

Pinned Loading

  1. condition-monitoring-of-hydraulic-systems condition-monitoring-of-hydraulic-systems Public

    Monitoring Internal Pump Leakage

    Python 4

  2. ECG-anomaly-detection ECG-anomaly-detection Public

    Anomaly detection using ECG Heartbeat Dataset

    Jupyter Notebook

  3. signal-processing signal-processing Public

    Signal Processing in Python

    Jupyter Notebook

  4. Twitter-Bot-Detection Twitter-Bot-Detection Public

    Project developed for bot detection on Twitter (X) in the Synthetic Realities course in my master's program at UNICAMP.

    Jupyter Notebook