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π¬ I'm currently working as an Quantitaive Analyst at Blackrock MASS division.
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π I have worked as a Quant and Data Engineer at True Beacon
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π± Iβm currently learning Derivatives
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π― Iβm looking to collaborate on Social Data Science Projects
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π I regularly write articles on https://medium.com/@kartikeygarg2
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π¬ Ask me about GCP,ML,Markes
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π« How to reach me kartikeygarg2@gmail.com
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β‘ Fun fact I live in a political conundrum
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Time-Series-Forecasting-Using-Heteroscedasticity-Model-and-RNN.
Time-Series-Forecasting-Using-Heteroscedasticity-Model-and-RNN. PublicTime Series Forecasting Using Heteroscedasticity Model and RNN.
Jupyter Notebook 1
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NYC-Taxi-Fair-Prediction-Using-Dataflow-Dask-and-Dataproc
NYC-Taxi-Fair-Prediction-Using-Dataflow-Dask-and-Dataproc PublicProject involves the transformation of data using GCP Dataflow job and then further modelling and analysis is done using Dask running on Dataproc.
Jupyter Notebook
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Autoencoders
Autoencoders PublicThis repository contains the implementation of Vanilla Autoencoders, Deep Autoencoders, Convolution Autoencoders, Variational Autoencoders.
Jupyter Notebook
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Stock-Prediciton-Using-LSTM-and-LMU
Stock-Prediciton-Using-LSTM-and-LMU PublicI have predicted the reliance stock prices using the past closings. I have excluded the past 4 days of trading data to really test my model over a long term.
Jupyter Notebook
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