I’m a passionate data professional with over 6 years of experience in analytics engineering and business strategy. I thrive at the intersection of data and decision-making, helping businesses leverage metrics for growth and efficiency. I enjoy collaborating with cross-functional teams to create scalable data models and insights that drive success.
Outside of work, I love exploring new analytical tools and techniques. I believe that continuous learning is key to staying ahead in the ever-evolving data landscape. I’m also an advocate for data literacy, striving to empower others with the knowledge and skills needed to harness the power of data effectively.
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This project focuses on the programmatic retrieval and analysis of high-frequency financial time-series data. Utilizing Python and the Binance API, I engineered a robust script to harvest historical pricing data for major cryptocurrencies (BTC, ETH) with 1-minute granularity.
This project builds an intelligent underwriting system that revolutionizes small business financing by going beyond traditional credit scoring. Inspired by the sophisticated risk assessment models used by Square Capital and Ramp, this engine leverages alternative data sources and advanced machine learning to provide real-time credit risk assessments.
Key Innovation: Unlike traditional underwriting that relies heavily on financial statements and credit scores, this system incorporates digital footprint data, customer sentiment, and transaction patterns to create a comprehensive risk profile.
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