Single and Multi Label Sentiment Analysis of web data: Objective is to design novel way to get effective classification of web
data for single and multi labelled data.

Multimedia Recommender System on User’s Medical data:
Objective is to recommend photos, videos to users suffering from alzheimer’s disease.

• Visualization of Medical data: Converted raw-cancer data-set
into AP format to apply APC (Age-Period-Cohort) model to visualize and get insight of the cancer data set.
• Neural Machine Translation from English to Hindi: Worked on deep learning techniques like LSTM, Bi-directional LSTM
and Encoder-Decoder to translate given English sentences into Hindi.

It was an online Hackathon. The purpose of this analysis is to make up a prediction model where we will be able to accurately predict the probability of loanee/borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date.

• Providing expertise on data cleansing.
• Designed and built statistical analysis models on large datasets.
• Participated in collecting, organizing, and interpreting data along with fellow colleagues.

• Worked on a end to end project Hotel booking service as C# developer.
• Implemented all the modules, booking rooms, checking the availability of rooms, storing and retrieving of user details
• The whole project was based on MVC and MVVM frame works in C#

Recognizing hate tweets, especially to women and children. Developed multitask model to identify tweets with hate speech.
Model were recognizing hate, sentiments and emotions from the text data