Nishtha Tagra

Web scrapping using selenium, Beautiful-soup and scrappy to extract geographical and crop data from government websites. Developed a Python automation script that fetches weather forecast data from Nooadata (National Oceanic and Atmospheric Administration), processes it, and updates it daily in a SQL Server database. Designed an automated script for calculating soil moisture using Modified Dubosis and Topp's equations. Formulated an Applied Statistical model for crop planning and management that predicts crop acreage at a district level. Created a REST API in Flask, allowing for efficient data retrieval and processing. Created automation script of statellite imagery for image processing and using k-means clustering to classify the particular crop growing in that area.

Working as Subject Expert ( STATISTICS ) to help Chegg registered students with their homework, assignments, and textbook solutions related to higher level statistics and Data Analysis.