Valuation Engine
In this valuation engine project, I employed my expertise in data engineering and Python to develop a
robust and scalable system capable of processing and analyzing vast amounts of financial data. The project
involved designing and implementing a data pipeline that efficiently extracts, transforms, and loads data
from various sources into a centralized database.
- Category: Data Engineering
- Project date: December 2023
- Project URL: https://github.com/hellotaoworld/valuation_engine
Key Features
- Data Extraction: Extracted financial data from APIs and external datasets, ensuring accuracy and reliability in data collection
- Data Transformation: Implemented complex data transformation logic in Python to clean, normalize, and aggregate the data, preparing it for analysis and valuation calculations
- Data Analytics: Developed the core valuation engine using Python, which applied financial models and algorithms to calculate the intrinsic value of assets, supporting investment decision-making processes
- Data Loading: Designed an optimized loading process to store the processed data in a cloud-based database, leveraging cloud storage solutions for scalability and accessibility. The data is then used in another repository to create an interactive website platform for data visualization.
