Rashedul Hoque

Research Assistant in Time Series Data @Fraunhofer Igd

Rostock, DE

Conduct research-driven time series analysis using Python, focusing on temporal data modeling and forecasting- Implement and evaluate statistical and machine learning models for detecting trends, seasonality, and anomalies- Develop reproducible data pipelines using Pandas, NumPy, Matplotlib, and Scikit-learn- Assist in preparing research documentation, reports, and publications based on empirical results- Collaborate with researchers to explore real-world applications in scientific or policy-related projects