As a Data Science Intern, I developed an answer assessment system using natural language processing tools, such as NLTK and Python. Additionally, I created various mini-projects, such as an image classifier, forest fire prediction, and speech & emotion recognition. The system used semantic similarity, grammar checking, and content analysis to evaluate and score long answers written by students.

I did a Internship as a Data Science and Business Analytics. My responsibilities included performing exploratory data analysis, preprocessing and cleaning of data, predicting using Supervised and Unsupervised machine learning models, and achieving real-time data processing and storage. My achievements included building a Twitter Data Pipeline using Airflow, executing an end-to-end data engineering project to process real-time stock market data, analyzing Ethereum network transactions, and building an audio classification machine learning pipeline. I have gained skills in data cleaning, mapping, reducing, joining, and visualization using tools such as Python, Spark, and Matplotlib.