

Expert in Python, data visualization, and predictive modeling, with strong capabilities in Power BI, Excel, and Google Colab for statistical analysis. Background includes training in learning disabilities and familiarity with the EYFS framework, alongside experience in collaborative projects using GitHub. Dedicated to applying analytical expertise to support educational programs and drive impactful results. Committed to delivering high-quality service through effective problem-solving and collaboration.
Reference available upon request
Student Stress Detection using Machine Learning:, Achieved 88% accuracy using Random Forest & KMeans, Used PCA for visualization and key predictor identification, Delivered actionable wellbeing strategies, Tools: Python, scikit-learn, Seaborn, Plotly, International Telecom Week 2025 – Telecom Traffic Analysis and Negotiation Support:, Analyzed telecom termination rates using Power BI & Excel, Developed dashboards for Belgacom, France Telecom, TATA, Telstra, Proposed negotiation strategies at EVP level, Tools: Excel, Power BI, Data Modeling