Shiv Nandan Gupta

Working on creating Data Gathering Pipeline through web scrapping, using frameworks like Scrapy packages like BeautifulSoup, Selenium to fetch the data from multiple sources. Then performing Data Science lifecycle on it to solve the use cases.

Worked on Time Series Problem statement for the Process Industry like Cement Plants, for the prediction of key parameters like oxygen level, Temperatures etc. for next 30mins in interval of every 5 minutes, to maintain the operations of plant to run at Optimal state producing best products. Incorporated LSTM for the Time Series Prediction.

Designed RSS Filtering for gathering data on IIOT, passing data through DL classification model to determine IIOT content percentage. Role included data gathering, preprocessing, creating/retraining classification models, and deploying models as a web API. Also developed a Video Recommendation System using YouTube data APIs, Collaborative Filtering, and Content Based Recommendation System for an LMS.

Developed Tyro, a web application solution providing a full data science life cycle, helping data scientists reduce effort in tasks like data cleaning, EDA, and outlier detection to create robust ML models predicting business and profit growth.

Created projects including ERP Motors, Wallentier, Pinclick, and E-Intelligence using latest web technologies.