Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Neural Networks and Deep Learning

Python for Data Science Workshop | IIT Kharagpur

Dual degree (B.Tech+M.Tech)

● Built the prototype of an innovative product that extract the insights from the chat dataset of a platform like Gitter, Slack, Yammer
● Developed an NLP based feature to extract trends of new technologies and their related issues over a period of time from the chat dataset
● Built NLP capabilities in the product to extract the sentiment from the chat for different technologies over a period of time from the dataset
● Performed time series forecasting using ARIMA and Holt’s winter seasonal method to forecast trends in new technologies in the near future

Product Development Intern

● Managed and supervised a team of 5 members, where we ideated and implemented some AI-based features in the application
● Designed the rule-based algorithm to match tutor and student based on the student’s preference and tutor’s reviews, rating
● Developed prototype to automate subject tagging of question images by integrating OCR and Question Classification model with 88.7% accuracy
● Built a recommendation model in python using Natural language processing for recommending a set of tutors to the user
● Built a tutor model in python which shows the top tutors for every subject and also the trending tutors based on rating and reviews

AI Team Lead

● Built the Web Scraper for the Sahara chrome extension with the use of the Selenium framework in python
● Automated web-crawler to scrape numerous e-commerce websites using Selenium, Scrapy, and BeautifulSoup4 in python
● Extracted information like price, returns policies, delivery policies, ratings, size guide and product description of the products
● Developed a common code to scrape the Apparel & Fashion product pages of 20 e-commerce websites of the United Kingdom

Software Development Internship 

Software Engineer

Software Engineer @ apna | IIT KGP'22

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