Skip to content
View Virajdatt's full-sized avatar
💭
Here to learn, build and publish projects.
💭
Here to learn, build and publish projects.

Block or report Virajdatt

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
Virajdatt/README.md

👋 Hello it's Virajdatt here!!

Graduate Student @

I passionately study and work on the entire machine learning lifecycle starting from data acquistaion to deployment and monitoring of the model. I have spent quality time on my projects in cleaning data, wranginling data, creating visuals and communicating the insights as a story easy to follow. Demonstrated experience completing data science projects and deploying machine learning models (Azure, GCP, AWS). I also have extensive expereince in building CI/CD and data pipelines with tools like AirFlow, Kafka, Terraform, Docker, Kubernetes. I belive in making my data science work better by combining my software enginnering skills (DS, Algos, Unit and Integration Tests).

Skills I possess and work on continousily:

Python: pandas, sklearn, nltk, huggig face, tensorflow, tensorboard, beautiful soup, pytest

SQL : MySQL, MS-SQL SERVER, POSTGRES

NoSQL : mongoDB

Tools : Airflow, Kafka, Comet-ML, MLFLOW,

Data Visuzalization: Tabeleu, matplotlib, seaborn,

Cloud Tech: Azure, AWS and GCP

Statistics: Hypothesis testing, A/B Testing, Probablity

Projects here on github

Blog Work (contains various articles on my data analysis and model building tips)

Deep Learning

Tensorflow:

NLP:

Computer Vision:

Docker:

Research intrests and working with:

  1. Machine Learning and Deep Learning.
  2. Machine Learning Enginerring Platform (MLOps)
  3. Data Drift Detection
  4. Telling visual stories using data (Tabeleu, python notebooks, comet-ml)

This is what I do often here on github:

  1. Build and publish Machine learning/ Deep learning models for (hackathons/ my passion projects/) with comments and report my findings.
  2. Practice and Publish my Learnings in building data pipelines for Building ML/DL models.
  3. Host my code for the articles I publish at medium
  4. Learn and code cutting edge Deep Learning methods/models.

Always open to collaboration, hit me up on twitter/linkedin

Popular repositories Loading

  1. TensorFlow_Cert_Learning TensorFlow_Cert_Learning Public

    TensorFlow Developer Certification Prep Work

    Python 26 14

  2. taylor_series_gif taylor_series_gif Public

    Visualizing Taylor Series approximation as a gif. Learn how to create a gif out of the matplotlib graphs.

    Jupyter Notebook 2

  3. hap_tests hap_tests Public

    Learn some basics and test some HAP configs in a dockerized environment.

    Python 1

  4. PyConIndia_2020 PyConIndia_2020 Public

    This repo contains my quick notes from what I learnt new in the PyConIndia2020

    1 1

  5. for-my-medium for-my-medium Public

    Jupyter Notebook 1

  6. ops-module ops-module Public

    SaltStack