Skip to content
View kartikeypro's full-sized avatar
πŸ˜‚
πŸ˜‚
Block or Report

Block or report kartikeypro

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kartikeypro/README.md

Hi πŸ‘‹, I'm Kartikey Garg

A passionate Data Engineer and Financial Analyst

kartikeypro

kartikeypro

itskartikey

  • πŸ”¬ I'm currently working as an Quantitaive Analyst at Blackrock MASS division.

  • πŸ”­ I have worked as a Quant and Data Engineer at True Beacon

  • 🌱 I’m currently learning Derivatives

  • πŸ‘― I’m looking to collaborate on Social Data Science Projects

  • πŸ“ I regularly write articles on https://medium.com/@kartikeygarg2

  • πŸ’¬ Ask me about GCP,ML,Markes

  • πŸ“« How to reach me kartikeygarg2@gmail.com

  • ⚑ Fun fact I live in a political conundrum

Blogs posts

Connect with me:

itskartikey kartikey-garg-516043bb 15145992 @kartikeygarg2

Languages and Tools:

blender bootstrap c css3 docker gcp git hadoop html5 java javascript linux matlab pandas python pytorch scikit_learn seaborn tensorflow

kartikeypro

Β kartikeypro

kartikeypro

Pinned

  1. Time-Series-Forecasting-Using-Heteroscedasticity-Model-and-RNN. Time-Series-Forecasting-Using-Heteroscedasticity-Model-and-RNN. Public

    Time Series Forecasting Using Heteroscedasticity Model and RNN.

    Jupyter Notebook 1

  2. NYC-Taxi-Fair-Prediction-Using-Dataflow-Dask-and-Dataproc NYC-Taxi-Fair-Prediction-Using-Dataflow-Dask-and-Dataproc Public

    Project involves the transformation of data using GCP Dataflow job and then further modelling and analysis is done using Dask running on Dataproc.

    Jupyter Notebook

  3. Autoencoders Autoencoders Public

    This repository contains the implementation of Vanilla Autoencoders, Deep Autoencoders, Convolution Autoencoders, Variational Autoencoders.

    Jupyter Notebook

  4. Stock-Prediciton-Using-LSTM-and-LMU Stock-Prediciton-Using-LSTM-and-LMU Public

    I 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