Janaki Sajeev

Enthusiastic BCA graduate with a strong foundation in IT, transitioning to MSc Data Science. Proficient in Java, Python, SQL, and eager to apply analytical skills to solve technical challenges. Seeking a Support Specialist role to leverage technical expertise and communication skills in assisting users and resolving issues effectively.

Tech Support Volunteer, Local Community Center, Kollam

• Assisted community members with computer-related inquiries and issues.
• Conducted basic computer literacy workshops.

Rule 42 (Database Management System Project)

This project quantifies cricket player form from the previous season by systematically evaluating performance using statistical metrics. Utilizing quantization methodology, analysts and team management compare players objectively through grades like A, B, and C. The goal is to analyze factors contributing to performance and develop predictive models accurately forecasting future outcomes. Statistical analysis and machine learning algorithms consider key performance indicators such as batting average, strike rate, bowling economy, and fielding efficiency. Predictive models, employing regression and classification techniques, are trained on historical data and evaluated for accuracy. Insights aid team selection, strategy formulation, and player development. The system, developed using PHP frontend, MySQL backend, and Python for predictive analysis via Google Colab, offers a web-based platform for evaluating cricket player performance.