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ajaychawda58/README.md

Hi there 👋 I am Ajay Chawda

I am a Data Scientist working at spotixx GmbH. I have 2 years experience working as a Associate Software Engineer at Accenture Solutions Pvt Ltd. I started working on incident management alerts and then progressed to solving incidents for Telecom Infrastrucutre provider. I graduated from TU Kaiserslautern in 2022. My master's thesis is Deep Unsupervised Anomaly Detection for Auditing Data. The extended work was published at Neurips 2022 workshop on Synthetic Data for Empowering ML research.

  • 🔭 I’m currently working on Graph Neural Networks and Fraud Detection.
  • 🌱 I’m currently learning Bayesian Data Analysis, Causal ML, State Space Models.
  • 👯 I’m looking to collaborate on Dataset similarity, Graph Analysis.
  • 💬 Ask me about Books, Cricket, Arsenal, History.
  • 📫 How to reach me: [email protected]

🧰 Toolbox

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📈 My GitHub Stats

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  1. Fractal-Dimension Fractal-Dimension Public

    Calculate Fractal Dimension for Grayscale and Colour Images using Box Count Method

    MATLAB 17 8

  2. UADAD UADAD Public

    Unsupervised anomaly detection for auditing datasets and impact of categorical encodings

    Jupyter Notebook 21 2

  3. SOM_DAGMM SOM_DAGMM Public

    Code for Self Organizing Map assissted Deep Autoencoding gaussian Mixture Model for intrusion detection

    Python 7 3

  4. ID_CNN ID_CNN Public

    Intrinsic Dimension of Convolutional Neural Networks

    Jupyter Notebook 2

  5. Titanic Titanic Public

    Titanic ML Disaster

    Jupyter Notebook

  6. LatentOE-AD LatentOE-AD Public

    Forked from boschresearch/LatentOE-AD

    Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022

    Python