graduated with strong computer science knowledge and skills. Eager to help others increase their knowledge while also solidifying my own skills and gaining new experiences.
• Language Models Toxic Tweets. ○ Developed AI tool for detecting toxic behavior on Twitter using NLP and machine learning. ○ Created sentiment analysis app with Streamlit and pre-trained models. ○ Languages & Tools: Python, NLP, Streamlit, Docker, Hugging Fac
○ Collaborated with 4 teammates to develop a time management web application
○ Contributed to the frontend development implementing user interfaces using JavaScript, HTML, CSS, and React Redux
○ Used SCRUM project management framework through Jira to track progress
• Fetal Health Classification Project
○ Developed and evaluated models to classify fetal health using Cardiotocogram (CTG) data.
○ Addressed data imbalance, selected key features, and assessed model performance using metrics like ROC Curve and F1 Score.
○ Conducted k-means clustering for data pattern analysis.
○ Languages & Tools: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn
• InvestEase | Co-Founder, Full-Stack Developer | Python, MERN, Machine Learning | Dec 2023 – may 2024
○ Led the creation of “InvestEase,” a MERN stack-based web application for personalized investment management, incorporating machine learning for portfolio recommendations.
○ Developed and maintained responsive and interactive Frontend components using React, enhancing user engagement.
○ Implemented AI algorithms to improve financial risk assessment accuracy by 25% and enabled predictive analytics for investment returns with dynamic visualizations.
○ Contributed to backend development in Node.js, handling API services and database integration for robust data management and security.