Student Of Computer Engineering (Honors In Data Science)
Major projectsDepression Detection using BERT and CNN | Aug-23 - May-24- Final Year Project- Implemented a model from tweets, using BERT and CNN algorithms to classify language patterns associated with depressive symptoms. - Leveraged Python, TensorFlow and Twitter API to enable real-time data collection and preprocessing, applying NLP and deep learning techniques to mental health analysis.Lung Cancer Detection using ML | Jan-23 - Mar-23- Conducted a case study on Lung cancer detection by analyzing 5 research papers, identifying key features linked to cancer risk and evaluating classification algorithms like SVM, Naïve Bayes, and Random Forest. - Presented findings to college authorities, highlighting the strengths/limitations of each model for Lung cancer prediction, offering insights for potential early detection applications.Project Management Dashboard | Jan-23 - May-23- Created a Web-based Project Mgmt. dashboard with role-based access and real-time data visualization to track team progress. - Employed SQL, PHP, JavaScript, HTML, CSS, and Plotly to build interactive data displays and effective user mgmt.Heart Attack Prediction | Dec-22 - Feb-23- Built a predictive model to assess Heart attack risk using Logistic Regression and K-NN on health data.- Implemented in Python, demonstrating the potential of predictive analytics in healthcare.Electric Car Dealership Inventory Management | Jul-22 - Dec-22- Developed an Inventory management system using MySQL and PHP, streamlining vehicle record-keeping and reducing manual data entry.- Designed a user-friendly web interface with change logging and user access control, ensuring ease of use and secure data management.Predicting Future Car Prices by Comparing Cars’ Features | Jun-22 - Oct-22- Built a predictive model for using Random Forest and Linear Regression on Kaggle data. - Identified key features influencing prices to help businesses optimize product selection and profitability.
