Aditya Singh

Highly motivated and analytically driven Data Science Engineering graduate with strong foundations in machine learning, statistical analysis, and data visualization. Eager to leverage technical skills and academic knowledge to solve complex problems and drive data-informed decision-making in an entry-level data science role.

• Machine Learning: Supervised and unsupervised learning, model evaluation
• Statistical Analysis: Hypothesis testing, regression analysis, probability theory
• Data Visualization: Techniques for visualizing complex datasets, storytelling with data

Car Loan Claim Prediction

· Car loan companies rely heavily on data analysis and predictive modelling to manage risk and optimize their operations. By analyzing historical loan claims data, companies can predict future claim occurrences, identify high-risk policyholders, and adjust their underwriting and pricing strategies accordingly.

Key skills:

· Exploratory Data Analysis and Feature engineering using Python. • Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, AdaBoost Classifier, K-Nearest Neighbor Classifier • One hot encoding, SMOTE Analysis,VIF, Feature Selection. • Hyper Parameter Tuning using GridSearchCV.