Final year Computer Science Engineering student with a strong interest in Software Testing and Quality Assurance. Familiar with SDLC, STLC, and manual testing. A quick learner and team-oriented individual with good problem-solving and communication skills. Eager to apply testing knowledge and contribute to delivering reliable, high-quality software.
Developed an NLP-based machine learning system to detect hate speech in social media text. Performed text preprocessing, tokenization, lowercasing, and feature extraction on social media data. Trained and evaluated classification models to categorize content as hate speech or non-hate speech. Used Python, NLTK, Pandas, and Scikit-learn for data processing and model development.
Developed an AI-based system to predict product demand and manage inventory using historical sales data. Key Features: Demand forecasting, inventory tracking, stock-level monitoring, and stockout/overstock prediction. Result: Improved demand estimation and supported better inventory planning by identifying future stock requirements.