Skills

Deep Learning

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. I am familiar with Tensorflow backend. I prefer Keras for its simplicity and its usefulness in fast experimentation.

PyTorch is an open source deep learning platform. I usually don’t use pytorch if it is easier to do in Keras or Tensorflow.

Machine Learning

scikit-learn is Simple and efficient tools for data mining and data analysis. I mainly use it for Machine learning related purpose. I prefer it due to lots of supports available as it is a popular library.

Natural Language Processing

NLTK is a leading platform for building Python programs to work with human language data. I usually use it for NLP related tasks.

Gensim is a robust open-source vector space modeling and topic modeling toolkit implemented in Python. I usually use it for word-embedding related tasks.

Front End

Angular is a TypeScript-based open-source front-end web application framework. I use it to devlop front end of web based software.

Back End

Flask is a micro web framework in python. Usually all my Machine learning, Deep learning related codes are deployed in flask server.

Spring Boot is java based web framework. I use it to create java based back end for web softwares.

Devops

Docker is a tool used for hassle-free deployment in server. It can take care of enviornment of deployment.

Databases

MySQL is an open source relational database management system.

Redis is an open-source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.I used REDIS DB for very fast retrival of word embeddings in NLP related tasks.

Mongo DB is an open-source document database and leading NoSQL database. I used MongoDB for such data where I needed more frequent data retrival than writting.

Neo4j is a NoSQL graph database management system .I used Neo4j whenever I found informations/ data’s are linked with one another

Cassandra is a free and open-source, distributed, wide column store, NoSQL database management system designed to handle large amounts of data across many commodity servers.