• Implemented autonomous framework in core Java for validating templates data before

inserting into oracle database.

• Used Java reflection for dynamically calling validation methods read from database.

•We have used spring framework.
•Closely working with the users in Phoenix, Arizona and implementing features as per the
user’s requirement.
•Using PL/SQL with Oracle SQL Developer.

•Wrote algorithm in python which can parse through all the signals consumed/produced and
will automatically generate trace file for linking between high level requirements (HLR) and
low level requirements(LLR).
•Completely automated manual work of performing tracing between HLR-LLR.
•Used C# for the GUI to take required inputs from user.

•Used Flask framework to implement client-server socket connection.
•Implemented NLP code using python’s nltk library.
•Implemented TF/IDF, cosine similarity based training model.
•Used this model to train any document file using unsupervised learning.

•Used DMAIC methodology to improve cycle-time of already existing tool with BOT.
•Implemented BOT as windows application using C# and python.
•Reduced cycle time for modelling signals of LRU by 70%.

Used Multinomial Naïve based, Similarity based and Tag Term based method to find the best suitable tagFor questions asked on stack overflow.Used pythons library like nltk, scikit-learn, numpy, pandas, matplotlib etc.

Extracted fine-grained opinion targets(aspects) from customer reviews of products and services usingOpinion mining and Dependency relation.Used Stanford parser to get the grammar from the reviews.Automated the rule selection process using Greedy Algorithm.Used python for the implementation.

Created JIRA like application where users can perform CRUD operation by adding/removing/updatingTask.Used React component for rendering view.Used NoSQL with MongoDB to store data.Used Express library to implement server in NodeJS.Used GraphQL instead of REST API for fetching/updating data.