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adityak714/README.md

Hi there 👋, I am Aditya Khadkikar!

  • 🎓 Received a Master's degree in Data Science, specializing in Machine Learning and Statistics from Uppsala University.
  • 🎓 Received a Bachelor's degree in Software Engineering & Mgmt. from the University of Gothenburg and Chalmers UoT, Sweden.
  • 📫 How to reach me: Email.
  • 💻 View my detailed portfolio. List of technologies and frameworks I have worked with:
    • Mainly worked with Python and Java, with experience in Typescript, Javascript, and HTML/CSS.
    • ML/DL Frameworks and Numerical Libraries:
      • PyTorch, TensorFlow, Scikit-Learn, Pandas, Numpy, Scipy (Numerical Computation and Data Analysis)
    • Web Frameworks:
      • Django, VueJS, NodeJS, ReactJS

Top Langs

Python PyTorch scikit-learn LangChain NumPy Pandas TensorFlow Gitlab CI Docker Kubernetes Ansible React Vue.js Django Postman

PostgreSQL MongoDB Spark Pulsar

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  1. mri-bayesian-inference-methods mri-bayesian-inference-methods Public

    Bayesian Inference in Diffusion Tensor Imaging, on the Stanford HARDI dataset (Rokem et al., 2015). Authored by Linda Turner, Jakob Schmidt, Aditya Khadkikar and Ioanna Ioannidou.

    Python 1

  2. noniid-fl-for-ecg-classification noniid-fl-for-ecg-classification Public

    AFib Classification from ECG exams using Federated Learning in Non-IID Feature Splits by Patient Age. Master's Thesis in Data Science.

    Jupyter Notebook 1

  3. analysis-time-series analysis-time-series Public

    Time Series Modelling in two use-case scenarios: Electric Power Consumption Predictions, and observing patterns in amount of Registered Private Cars in Sweden. Approached with non-seasonal and seas…

    R

  4. impact-of-bias-in-fr impact-of-bias-in-fr Public

    Comparing different FR detectors in representation of race and gender on images from the LFW dataset, and assessing inter- and intra-similarity with Bhattacharyya coefficient, and observing its cha…

    Jupyter Notebook

  5. multiple-imputation-framingham multiple-imputation-framingham Public

    The Framingham Heart Study dataset was used, consisting of around ~4,200 patient examples with features such as age, isMale, systolic/diastolic blood pressure values, totChol (cholestrol), glucose,…

    Python

  6. marketpulse marketpulse Public

    Forked from gusreinaos/marketpulse

    An AI-powered web application that predicts market sentiment for specified NASDAQ companies based on public opinion analysis.

    HTML