u6yuvi/data-science-ipython-notebooks

Recently updated with 50 new 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.

My name is Utkarsh Vardhan

I am currently working at Tesla

I am currently learning:

1. Applying Computer Vision and NLP based techniques for Document Extraction.
2. Deploying and monitoring Machine Learning and Deep Learning Models in Production setup.

My earlier work in Production Setup:

1. Tree based model for MultiClass and MutliLabel Classification of Business Documents.

2. Document Representation and Clustering System using Representation Learning.

3. Named Entity Recognition System for identifying different entities in the Business Documents.

4. Text Detection System using Object Detection to identify different regions (Table,Paragraphs,Logo,Seal etc) in the Business Documents.

5. Entity Relation Extraction from Documents containing paragraphs to identify different entities and the relationship between entities.

6. Using Transformer based architectures for End to End Document Extraction in the following settings:

   1. Question Answering Task
   2. Key Value Pair Extraction
   3. Entity Extraction

7. Deployment of Machine Learning(ML) and Deep Learning(DL) models using Docker Containers.

8. Integrate log aggregation system using Loki and Granfana for ML/DL docker containers.

9. Integrate Machine Learning models input logs using Kibana.

10. Integrating Prometheus and Grafana as monitoring platform for ML/DL docker containers.

Other Projects and Initiatives:

1. Entirety.ai -Meetup Bengaluru (02/2019 - Present) A weekly meetup targeted to educate people in Machine Learning and Deep Learning .All the contents made for this meetup can be found on the

   Github link

   Recorded Videos

   1. Things we do:
      1. Solving Vision Related Problems Using State of the art Deep learning models.
      2. Hands On Session on training Different CNN Architectures.
      3. Solving Image Detection Problems.
      4. Solving Instance Segmentation Problems.
      5. Implementing Research papers.
      6. Hands On Session on NLP related tool and ML techniques to solve business problem

2. Guest Speaker at AWS Summit 2019-Bengaluru

3. Guest Speaker & Poster Presentation at Pycon Conference- Chennai

4. Bengaluru Event Ambassador for Deeplearning.ai Pie and AI Meetup Group. (02/2020 - Present)