Using Dataset from SemEval 2014, this project analyses the online review text according to the sentiment polarities of opinions expressed towards aspects/features of a product.(NLTK, Scikit-learn, Pandas, Stanf CoreNLP)

A model that can detect the sentiments and opinions of the people by applying to tweets on any trending topic. (Python, Pandas, TextBlob, Scikit-learn, OAuth, Naive Bayes)

Responsible for the development of face detection and recognition project which monitored people via IP Cameras installed in the office,thus ensuring authorization and security.

I helped automate asset monitoring and reporting processes for Citi Bank(US) by creating interactive dashboards with the required functionality.
Responsible for scheduling and coordinating with client i.e. Citi Bank regarding the fixes and the timely deployments of data patches and releases.

Twitter Sentiment Trend Analysis, Chatbot (Responsive and Adaptive), Movie Success Prediction using ML Algorithms with visualization tools