Knowledge of Machine Learning frameworks like Scikit-Learn and Spark-ML as well as specialised frameworks like NLTK, SpaCy, TextBlob.
Work experience of 1.5 years in the field of Data Science & Machine Learning and Data Science.
Currently working as a Data Science Developer where I write codes using Python and Scala.
Have developed a real-time Speaker Recognition System working over Skype for a Vodafone Sponsored Project back in 2011. Currently involved in following projects-
1. Web Data Mining and Website Scraping for a Doctor-Patient mobile application, using Scrapy & Selenium.
2. A concurrent streaming application of stock details from Google Finance using Akka Framework.
3. Research / Development of a sentiment analyzer using Python libraries such as Scikit-Learn, SpaCy and TextBlob.
** Currently, I am learning following skills as I go -
=> Tensorflow (to build a deep learning based sentiment analyzer and a deep NLP based AI Chatbot)
=> Akka Streaming and Akka HTTP (to build a robust and REST version of the stock streaming app)
=> Stanford CoreNLP (to try to build a more robust sentiment analyzer and compare with the likes of TextBlob and NLTK)
=> Spark-ML (for fun!)