Conducted comprehensive data analysis using Python and Pandas to derive actionable insights and support decision-making processes. Developed and maintained data pipelines to collect, clean, and process large datasets from various sources. Utilized advanced statistical techniques and machine learning algorithms to analyze data trends and patterns. Created interactive dashboards and visualizations using Matplotlib and other visualization tools to communicate findings effectively.

Conducted data mining to extract valuable insights from large datasets, identifying patterns and trends to support business decisions. Developed and maintained web scraping and data crawling scripts using Python and Scrapy to gather data from various online sources. Automated data extraction processes to streamline data collection and reduce manual effort. Managed and optimized data pipelines for seamless data integration and processing.

Led data scraping projects, developing custom scrapers to extract data from various online sources. Designed and implemented web applications using Django and Flask frameworks to support dynamic and interactive user experiences. Created automation scripts in Python to streamline data processing, deployment, and routine maintenance tasks. Implemented RESTful APIs to enable communication between frontend and backend services.