•Developed and executed a multifaceted project merging economics, data analysis, and machine learning to predict top-performing stocks within India’s prestigious Nifty index.• Spearheaded data collection efforts by systematically gathering and pre-processing historical stock prices, market indicator, and economic data. This meticulous data curation process formed the foundation for feature selection.• Employed advanced data analytics techniques to establish intricate correlation among various financial features, ultimately guiding the selection of key variables for predictive modeling.• Designed and trained machine learning models, incorporating time-series analysis, such as Random Forest and LSTM, resulting in models that consistently outperformed traditional methods.• Evaluated model performance through metrics like MSE, RMSE, and Accuracy, showcasing the project's success in providing accurate stock predictions for informed investment decisions.• This internship experience not only honed my data analysis and machine learning skills but also deepened my understanding of the intricate relationship between financial markets and economic indicators. It was a valuable opportunity to contribute to cutting-edge research and real-world applications in the field of finance.