Gained extensive hands-on experience in various technologies and methodologies while working on multiple projects. Key contributions and learning areas include:
• Web Scraping: Implemented web scraping solutions using Selenium and regular expressions (regex) to collect data from various sources.
• Data Collection and Management: Gathered and managed data from multiple sources for analysis and processing.
• Exception Handling: Developed robust code with comprehensive exception handling mechanisms.
• Data Science and ML Frameworks: Applied machine learning frameworks and statistical techniques to solve real-world problems.
• ML Projects: Worked on diverse ML projects including temperature forecasting, red wine quality assessment, baseball case study, HR analytics, loan application prediction, insurance fraud detection, and Zomato restaurant analysis.
• Report Writing: Created a detailed article report on one of the completed ML projects, demonstrating the ability to document and present technical work effectively.
Developed strong analytical, problem-solving, and technical skills, with a commitment to continuous learning and professional growth.
Software development
Product roadmapping
Requirements gathering
Troubleshooting
Teamwork and collaboration
Multitasking Abilities
Critical thinking