Taha Heidari
About me

Taha Heidari

Aalto University
{Taha Heidari} 

Taha Heidari
MSc Graduate
@ Aalto University
with majoring in
Machine Learning, Data Science and AI

Senior Applied AI/Data Scientist with more than 5 years of work experience focused on deep learning applications in sensing and Bayesian MCMC time-series prediction. With strong background in machine learning in production (MLOps), and statistical A/B testing.

Research Interests

My research mainly focuses on MCMC algortihms and its applications in Machine Learning and Deep Learning for sensing. Currently, I especially interested in the following topics:

  • Bayesian Deep Learning

  • Markov chain Monte Carlo (MCMC) methods

Presentations

Some of my presentations on MCMC applications:

  • Segment Anything Django SAR app (satellite imagery with machine learning (SIML)) Link

  • Deep MCMC timeseries prediction Link

  • ML Advanced Probabilistic Methods Link
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  • Convolutional Neural Network: A Brief History Link

  • MCMC employee's burnout rate prediction: Full Bayesian Analysis Link

Projects

Here, you can find some of my projects which I did for different companies:

  • Conducted MLOps and Machine Learning initiatives, crafting deep transfer learning models on Vertex AI, mlFlow, and Terraform to boost acoustic sensor accuracy by 95% in F1-Score. Leveraged BigQuery on Google Cloud Platform for handling large datasets and fine-tuned pretrained transformer models (ResNet-16) to ensure robust sensor data acquisition while having different environmental noises.

  • I was applying data science, deep transfer learning and data-driven solutions in sensing, which improved the performance of the models by 92% of precision, reduced sensing costs by 40%. I filed a state-of-the-art patent in sensing based on what I did.

  • CNNs Audio classification Based on Mel Spectograms in PyTorch

  • MLP and CNN Analysis of Fashion-MNIST dataset

  • Bayes and Naive Bayes Implementation and Analysis of IRIS dataset

  • Logistic Regression Implementation and Analysis of Reuters-21578 dataset

  • SVM Implementation and Analysis of Adult-Income dataset

  • ID3 Decision Tree Algorithm Implementation with Post Pruning

TAs and Tutorials

Here, you can find some of tuorials I'm preparing for different courses as a teaching assistant experience:

Contact

Address:
Taha Heidari
Department of Electrical Engineering and Automation
Aalto University
Email: taha.heidari (at) aalto (dot) fi
Github: fartaha
Linkedin: Taha Heidari

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