Suraj Varma

- Title: "Determining Socio-Economic Resilience to Flood Events Using Machine Learning." Applied machine learning to predict economic losses from flood events using a dataset of 269 samples and 182 features. - Developed and compared XGBoost, Support Vector Regression (SVR), and K-Nearest Neighbors (KNN) models. - Used Python, scikit-learn, Pandas, and GeoPandas for preprocessing, feature engineering, and hyperparameter tuning. - Achieved 15–20% reduction in prediction error with XGBoost.

- Leveraged Power BI, SQL, Excel to analyze expense reports, optimize financial efficiency, identify cost-saving opportunities. - Conducted detailed bank deposit analysis with SQL, Excel, extracting patterns for strategic decision-making. - Utilized advanced SQL, Excel for financial transaction input, generating insightful dashboards. - Designed visually engaging Power BI, Excel dashboards for informed stakeholder decision-making.

Master’s in Artificial Intelligence at THWS focuses on applied AI, machine learning, deep learning, and data science. The program blends theory with hands-on projects, preparing students to develop intelligent systems and data-driven solutions. With a strong focus on ethical AI and innovation, it equips graduates for roles in tech, research, and industry. International and practice-oriented, taught entirely in English.

Master’s in Mathematics at VNSGU provides a strong foundation in pure and applied mathematics, covering areas like algebra, analysis, topology, and statistics. The program emphasizes logical reasoning, problem-solving, and theoretical modeling, preparing students for careers in research, teaching, data science, and analytical roles across industries. Focused on academic excellence and mathematical innovation.

Bachelor’s in Mathematics at VNSGU builds a solid base in core mathematical concepts such as calculus, algebra, geometry, and statistics. The program develops analytical thinking, logical reasoning, and problem-solving skills, preparing students for advanced studies or careers in education, research, finance, and data-driven fields. Emphasis on both theoretical understanding and practical application.