SRIKANT

Data Science Intern

Nullclass•  June 2024 - August 2024•  Bangalore, Karnataka

Developed and refined machine learning models, including Random Forest and Gradient Boosting, to increase prediction accuracy for customer churn by 18% compared to baseline models. Employed data analysis techniques such as time series analysis and anomaly detection to identify trends and patterns in complex datasets, leading to a 25% reduction in false positives. Applied critical thinking and problem-solving skills to address data quality issues, such as missing values and outliers, resulting in a 12% improvement in data reliability.