Data Science Intern
- Collaborated in a machine learning project focused on combating hate speech and promoting safer online environment by classifying racist tweets
- Conducted data preprocessing, including text cleaning, tokenization, and feature engineering, to prepare dataset for effective model training and evaluation
- Employed Support Vector Machine (SVM), K Nearest Neighbors (KNN) and Naive-Bayes Algorithm to develop classification models capable of detecting offensive languages and hate speech with 88% accuracy.
