Naga Raghavendra Indukur
System Engineer at TCS
- [email protected]
Naga Indukur is a System Engineer with 2 years of professional experience in Software Industry. He is very much interested to apply Machine Learning models in real time scenarios. Have worked on few projects like review classification, recommendation system for e-commerce websites.
Sapiem receives numerous mails from during interaction with clients as well as customers. To classify these emails, we have built a Machine Learning model as per requirement.
Bank of America receives several legal documents which comprises of updated agreement terms. Finding the difference between the old and new version of agreement is a tedious job. By using ML and NLP we automated the task of finding differences between two files.
Bachelor Of Technology, Electronics and Communication Score: 8.66
Twitter has huge amount of text data. We extract data from twitter using data mining techniques like tweepy, and pre process the data using regex. By using various libraries like Textblob, Vander Sentiment Analyser we find the type of sentiment for each of the tweet posted by an user.
This project analyzed an imbalanced dataset. With proper Exploratory data analysis, data was cleaned and observed it was imbalanced. Thus, by balancing the data we found efficiency in multiple ML algorithms like Logistic regression, Naïve Bayes theorem, random forest and finally predicted the output with the best model.
From a wide range of reviews received by a restaurant, by using Python libraries and NLP technologies we classified whether a provided review was positive or negative.