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Vinamilk Stock Analysis using Data Engineer approach
Analyzed and researched 10 years of Vinamilk’s sales data (2013-2024) using Python, Pandas, and NumPy to generate comprehensive visualizations. Applied machine learning and financial models like Discounted Cash Flow (DCF) with Scikit-Learn to predict stock trends and assess market shifts. Created a 28-slide report integrating finance and machine learning techniques, successfully passing the KPMG entry round.
- Python,
- Numpy,
- Scikit,
- Matplotlib,
- Panda
