Developed interactive Power BI dashboards with advanced DAX modeling to drive business insights and operational reporting.Automated workflows with Microsoft Power Automate, streamlining processes and reducing manual tasks by integrating tools like SharePoint and Outlook.Resolved reporting issues promptly and provide end-user support for Power BI tools, ensuring data accuracy and reliability in collaboration with cross-functional teams.

Orchestrated the development of predictive models with Python and scikit-learn, boosting accuracy by 10%; this informed targeted marketing strategies that drove a 15% increase in enrollment for coaching classes. Conducted Exploratory Data Analysis (EDA) to enhance predictive precision by 15% in machine learning models, identifying patterns in student performance data and demographics to tailor coaching programs.Executed the integration of data from various sources using SQL, Power BI, and machine learning algorithms, developing interactive dashboards that drove strategic decisions, resulting in improved teaching effectiveness and student outcomes. Contributed to company growth and success by leveraging data science techniques to analyze student data, increase enrollment, improve student satisfaction, and inform strategic decision-making.

Utilized Python and Supervised Machine Learning to establish a strong correlation between study hours and academic grades, achieving an impressive 93% prediction accuracy. Developed and deployed a powerful linear regression model with SciKit Learn on Google Colab, resulting in a substantial 10% enhancement in academic grade prediction.Demonstrated a high level of analytical proficiency by harnessing data-driven insights for predictive modeling, contributing valuable recommendations to optimize students' study hours and academic grades.