May 2023 – Jun 2023 · 1 mo · New Delhi, Delhi, India · On-site

• Conducted research on Time Series Forecasting, utilized deep learning techniques such as LSTM networks and the Prophet framework, predicted UT1-UTC curves and Earth orientation parameters, developed proficiency in data analysis, captured intricate temporal dependencies, generated accurate predictions, acquired valuable skills in time series forecasting, deep learning, and data analysis, contributed to the advancement of precision timekeeping research.