Manikkavasakar K

Intern

YBI Foundation•  July 2023 - September 2023•  Remote

Performed data cleaning on large datasets using Excel, improving data accuracy by 90%. Created data visualizations in Python using Matplotlib and Seaborn, enabling stakeholders to identify key trends and insights. Automated data preprocessing tasks using Python scripts, reducing manual effort by 40%.

Intern

Edunet Foundation•  April 2022 - June 2022•  Remote

Worked on sentiment analysis using machine learning algorithms, focusing on preprocessing text data and applying Natural Language Processing (NLP) techniques. Developed a sentiment analysis model with 85% accuracy to classify customer reviews as positive, neutral, or negative. Explored various NLP techniques, including tokenization and TF-IDF, to improve text representation and model performance.