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Hello world👋

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I am JJ from Khatima, Uttarakhand, currently working as FIG Product Strategy Intern at BlackRock, Gurgaon, India.

Being interested in computers since a young age, it feels wonderful to solve problems with the tools that just fit your hands. Made significant progress from a novice to self-learning new and interesting technologies and implementing them in projects. Eager to be challenged in order to provide simple and efficient solutions. Enthusiastic to learn new technologies as the need arises and improve my skills.

⚡ Technologies

  • Dev: Python3, SQL
  • Data Science: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Keras, PySpark
  • Front-End Dev: HTML, CSS, Bootstrap, JavaScript, jQuery

💻 Projects

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  • 🔭 I recently worked on:
    • Research project on On Device AI in collaboration with Samsung R&D Institute India - Bangalore under Samsung PRISM program.
    • PySpark project on Azure Synapse Notebook to detect Intrusion via analysis of data traffic.

👋 Reach out to me

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JJ's Projects

a-few-codes icon a-few-codes

A few codes for practicing problem solving and competitive coding. XD

autofill icon autofill

Automatically fill forms in a split of a second.

conv-tasnet icon conv-tasnet

Implementation of Conv-Tasnet by tensorflow, there is a revise of loading data and segments difference from old version

ms-snsd icon ms-snsd

The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

pysha2 icon pysha2

Pure Python implementation of SHA2 (i.e., SHA224, SHA256, SHA384, and SHA512).

python icon python

All Algorithms implemented in Python

sklearn-deap icon sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn

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