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nikhilbalwani/README.md

Hi there ๐Ÿ‘‹

I am a Computer Science graduate student at Columbia University in the City of New York. I have two years of experience in Machine Learning and Data Science roles.

My core competencies include training large custom neural network models on TPUs, Deep Learning, Natural Language Processing, and Statistical Modeling. I am familiar with Apache Beam on Google Cloud Dataflow and PySpark for large scale parallel processing of Big Data.

Gmail Linkedin

forthebadge

Some quick links to personal projects:

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  1. MaharshSuryawala/Face-Detection-and-Facial-Expression-Recognition MaharshSuryawala/Face-Detection-and-Facial-Expression-Recognition Public

    A systematic comparison of different machine learning & deep learning classification approaches applied to the problem of fully automatic recognition of Facial Expressions.

    Jupyter Notebook 28 7

  2. mlify mlify Public

    Reinventing the wheel!

    Jupyter Notebook 2

  3. bloom-filter bloom-filter Public

    A systematic study of the Bloom filter (1970), a space and time-efficient data structure, for set membership testing. The study included performance analysis on false positive error rate and run-time.

    Jupyter Notebook

  4. interview-questions interview-questions Public

    Solutions to coding interview questions on some popular platforms.

    C++ 3

  5. LSTM-based-stock-prediction LSTM-based-stock-prediction Public

    Jupyter Notebook