Project: Twitter Search Engine Application
Developed a Flask-based search engine that efficiently processes and queries large-scale Twitter data.
Technologies: Python, Flask, MySQL, MongoDB, Twitter API
Processed 150K+ tweets and user data with optimized storage and retrieval mechanisms,efficient search functionality with caching for improved performance.Delivered a robust, scalable tool for real-time Twitter data analysis, supporting social media research and sentiment analysis.
Project: Earthquake and Celestial Events Analysis Using Python
Developed a Python application to analyze seismic data from the USGS API. Implemented automated data retrieval, preprocessing with Pandas, and data enrichment. Utilized advanced statistical methods, including correlation analysis and time-series forecasting, to explore links between seismic activity and celestial events. Visualized results using Matplotlib and Seaborn,plotly.