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Shariq Ansari's Github Page šŸ‘‹

Hi, My name is Shariq Ansari, I am currently working as Data/ Software Engineer. I love Integrating Data from various sources and running Analysis on them. I am excited about how we can collect Healthcare data and help consumers make good life choices in Real-time.

šŸ”­ Iā€™m currently working on Deep Learning Models

šŸŒ± Iā€™m currently learning BERT, ELMo and everything leading to GPT-3.

Apart from the world of tech, I like reading philosphy specially Lingustics and Etymologics, which helps me understand NLP with a unique perspective.

In my free time, I also love to read fictions from great minds like Dostoevsky etc and I like watching movies. Big fan of David Lynch.

Languages and Tools:

mysql python scikit_learn pytorch

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Mohd Shariq Ansari's Projects

numerical-methods icon numerical-methods

Numerical methods. Repository with the purpose of helping the ones in need on their path to achieving the computer science numerical wisdom.

optimize-policy-in-grid-world icon optimize-policy-in-grid-world

The full walk through the optimization of grid world problem along with greating the environment and agent in simplest python code.

pyspark icon pyspark

This repository represents my learning efforts for mastering PySpark from basics. It is good place for anyone looking to start with PySpark

quantum-arch-search icon quantum-arch-search

Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)

statsforecast icon statsforecast

Lightning āš”ļø fast forecasting with statistical and econometric models.

tableau icon tableau

This is my exploration in trend analysis and data visualization using Tableau

transformer-and-attention-based-model icon transformer-and-attention-based-model

This repository captures my efforts to understand the large language models starting from Attention based RNN and then exploring transformers, BERT and eventually GPT.

understanding-keras-layers icon understanding-keras-layers

This repository is an effort to condense the information about various keras layers and present them in simplest way possible. The inspiration for this effort came from my mentor and after going through few examples on Kaggle. I also tried to follow the examples provided by https://www.youtube.com/@MuratKarakayaAkademi

vadersentiment-analysis icon vadersentiment-analysis

vaderSentiment analysis is considered to be one of the best way of analysing the sentiments as it is free from all sort of biases

wipro-industrial-iot-project icon wipro-industrial-iot-project

The best friend of a lost coal miner is data and environment parameters around, these are minimum requisite to sustain the life if you are lost in the mine .

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