Time-series forecasting of lead prices at the London Metal Exchange (Internship at Exide)
Examined 60 years of Mauna Loa CO2 data, utilizing Python, Jupyter, and essential libraries for preprocessing and advanced modeling, revealing key atmospheric trends.
Time Series Modelling and Simulating the Lockdown Scenarios of COVID-19 in Kurdistan Region of Iraq
The task was building a loan targeting optimization model for a major bank in Korea. We finished in the top 15 teams our of 40 teams.
Explored a decade of CPI and BER data using Python and Jupyter notebooks for in-depth time series analysis, forecasting, and error evaluation. Techniques include data cleaning, exploratory analysis, and specialized time series modeling.
STL decomposition notebook with parameter analysis, diagnostics, seasonal strength metrics, forecasting, and alternative methods. Complete time series decomposition workflow with visualizations and statistical tests.
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