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I will detect anomalies in time series or sensor data
AI and ML Expert Python and MATLAB Developer Signal and Data Analyst
I’m an AI and signal processing expert with deep experience in Python, MATLAB, and modern ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
I help clients build intelligent systems across dom...
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Do you need to detect anomalies or extract patterns from time series or sensor data?
I will help you uncover hidden insights in your industrial, IoT, or structured datasets using AI and statistical models.
I specialize in:
- Time series anomaly detection
- Forecasting and trend analysis
- Data cleaning & preprocessing
- Machine learning model development
Whether you're working with temperature logs, machine data, power usage, ECG signals, or financial trends I will tailor the analysis to your unique needs.
Youll receive:
- Cleaned and analyzed data
- Fully-tested ML models
- Insightful visualizations or reports
- Optional API-ready or deployment-ready code
Let's turn your raw data into real-time, predictive intelligence.
Lenguaje de programación:
Python
•
MATLAB
•
Colab
Marcos:
Scikit-learn
•
Google ML Kit
•
keras
•
PyTorch
•
Panda
API:
Google Cloud Vision API
Herramientas:
Jupyter Notebook
•
opencv
•
TensorFlow
•
Excel
•
Colab
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FAQ
What kind of data can you work with ?
I can work with time series, sensor data (temperature, vibration, flow), biomedical signals (ECG, EEG), financial trends, and industrial logs. Feel free to message me with a sample before ordering.
Do I need labeled data for anomaly detection?
Not necessarily. I use both supervised and unsupervised methods — meaning I can detect anomalies even without labeled data using models like Isolation Forest, Autoencoders, or clustering techniques.
Can you deliver results in a visual report or dashboard?
Yes! I can include graphs, insights, and trend plots as part of your package. For interactive dashboards (e.g. Streamlit), you can request it as an extra.
