Vignesh C P

Rubrix Analytics leverages data analytics to help schools, teachers, and parents enhance student performance and career guidance

• Analyze student performance data to generate actionable insights for educational institutions, identifying trends and areas for improvement.
• Work with SQL databases to extract, manipulate, and analyze large datasets, ensuring efficient data retrieval for reporting and analysis.
• Utilize Python for data cleaning and transformation enabling predictive modeling to forecast student outcomes and suggest interventions.
• Use Excel for advanced data analysis, including pivot tables, Power Query, macros, and complex formulas to support reporting and decision-making.
• Develop interactive dashboards and reports using Power BI and Tableau to visualize academic trends, student progress, and institutional performance.
• Automate data workflows using Python (Pandas, NumPy, Scikit-learn) and SQL, reducing manual effort and increasing efficiency.
• Leverage statistical methods and AI-driven analytics to identify learning gaps and recommend personalized interventions.