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15 followers · 8 following
  • Università degli Studi di Padova
  • Padova

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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor
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aidinattar/README.md

👨🏻‍💻 Aidin Attar

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Passionate data scientist and enthusiast with a background in physics. I have a deep interest in data analysis and its applications in various domains. Alongside my love for data, I have a strong affinity for cinema, economics and politics. I enjoy exploring the insights that data can provide in these areas, uncovering meaningful patterns and trends. My goal is to use data to gain valuable insights and contribute to informed decision-making.


⚙️ Languages and Tools

Programming Languages



📊 Statistics

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Khaled Badran's GitHub Stats

GitHub Streak

Most Used Languages

Pinned

  1. Volatility-carry-trading-strategy Volatility-carry-trading-strategy Public

    Modelling the implicit volatility, using multi-factor statistical models.

    HTML 8 7

  2. radio-wave-activity-detection radio-wave-activity-detection Public

    This repository contains the code and dataset for activity recognition using mmWave radar sensors. The dataset was collected in two different environments with 23 subjects and includes range and mi…

    Python 7

  3. AudioKWS AudioKWS Public

    Implementation of a small-footprint keyword spotting (KWS) engine using convolutional neural networks (CNNs).

    Jupyter Notebook 1 1

  4. CosmicRays-LiveDashboard--Spark-Kafka CosmicRays-LiveDashboard--Spark-Kafka Public

    Reproduce a real-time processing of real data collected in a particle physics detector and publish the results in a dashboard for live monitoring.

    Jupyter Notebook 2

  5. PMOD-FIR-filter-VHDL PMOD-FIR-filter-VHDL Public

    Implementation of a FIR-filter on a FPGA and its employment in an audio system obtained using a PMOD I2S2.

    Jupyter Notebook 1 1

  6. BBH-Delay-Time BBH-Delay-Time Public

    Forked from Bahadoram/Delay-Time-Dist.-of-Compact-Binary-Objects

    Study of the delay time distribution of binary compact object, model them and use of the random forest method to predict them.

    Jupyter Notebook 1