Dynamic Assistant Manager with expertise in operational efficiency and resource optimization through Power BI, Excel, and SQL dashboards. Skilled in automating solutions, streamlining waste management, and enhancing internal data management using AI and data analysis. Proficient in ESG criteria, business process evaluation, and custom dashboard creation. Strong foundation in technology, waste management, and data science with skills in business development, communication, and visualization.
World Happiness Report
Analyzed global happiness indices, focusing on factors like economic stability, social support, and health. Used data visualizations (bar graphs, line charts, scatter plots, heat maps) to reveal trends across countries, supporting well-being initiatives. Published in the IRJET journal.
Brain Tumor Prediction System
Utilized deep learning models (ANN, CNN, Vgg-16, AlexNet) to predict brain tumors from MRI images, with Vgg-16 delivering superior accuracy. Developed a Streamlit web app for real-time tumor predictions, improving accessibility for medical diagnostics.