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rbhatia46/README.md

Hi there 👋

Rahul Bhatia

I am Rahul Bhatia, a Data Scientist and a Software Developer, with a high degree of interest in quantitative research and financial markets, particularly in derivatives and equities. Currently, I work as a Machine Learning Engineer at Rakuten.

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  1. A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

    534 118

  2. A simple SPA Portfolio template for developer/designers built with React. Use it to showcase your work, testimonials and other information to clients.

    JavaScript 242 191

  3. Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

    Jupyter Notebook 82 4

  4. Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of technical indicators commonly used in Finance.

    Jupyter Notebook 1

  5. This work demonstrates the use of an LSTM-Autoencoder, implemented using Tensorflow and Keras, to detect anomalies in Timeseries data, using an example of anomalies in the daily closing price of Ni…

    Jupyter Notebook

  6. Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example could be GPS trajectories collected using mobile devices.

    Python

163 contributions in the last year

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Contribution activity

August 2020

Created an issue in snorkel-team/snorkel-tutorials that received 1 comment

Improper Assignment of predicted labels to dataframe - Snorkel Drybell tutorial

Issue description Hi, In the snorkel drybell tutorial(drybell/drybell_spark.py), after using training label model to predict the probabilities, the…

1 comment

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