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Subir Verma's Dev Card

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πŸ€“ About Me

Passionate and Self-taught Data Scientist. I have been working in the Field of Data Science since 2016. Always engaged in learning and self-improvement. Part time Quoran and enjoy some of my time watching TV Series. A Marvel Fan.

A little more about me...

hyperparameters = {
  pronouns: 'he' | 'him',
  code πŸ‘¨πŸΌβ€πŸ’»: ['Python', 'Pyspark', 'R', 'Scala'],
  tools βš’: ['Elasticsearch', 'Mongodb/Cassandra/Redshift', 'FastAPI/Flask',  'Docker'],
  architecture πŸ‘¨πŸ»β€πŸ«: ['microservices', 'serverless',  'event-driven', 'design system pattern'],
  cloud ☁️: ['AWS-EC2', 'AWS-Elasticsearch', 'AWS-Lambda', 'AWS-Sagemaker','Azure'],
  area of expertise: ['Unsupervised - Topic Modelling, Clustering, KNN','Document - Computer Vision',
                      'Object Detection', 'Named Entity Recognition', 'Question-Answering Systems',
                      'Text Generation and Summarisation', 'Neural - Semantic Search','Reinforcement Learning - Qlearning']
}

πŸ“ˆ My GitHub Stats

99sbr

I love connecting with different people so if you want to say hi, I'll be happy to meet you more! :)

Subir's Projects

audio-watermarking icon audio-watermarking

This is MATLAB code for blind audio watermarking using Arnold transform and ECC

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

causal_debiased_ranking icon causal_debiased_ranking

We will show how to factorize and debias ranking to improve personalization and reduce popularity bias both on item side and to reduce the dominance of power users.

computational-physics- icon computational-physics-

Computational physics is the study and implementation of numerical analysis to solve problems in physics for which a quantitative theory already exists.different theories based on mathematical models provide very precise predictions on how systems behave. So here are implemented codes of some important algorithms

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

fastapi-template icon fastapi-template

Completely Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as an API framework.

medicare_locator icon medicare_locator

πŸ₯Medicare Locator - Open source starter pack for developers to build contextual chatbots and AI assistants in healthcare

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