Data Scientist and Analyst with expertise in SQL, Python, and advanced machine learning algorithms, focused on credit risk analytics, data engineering, and business intelligence. Proven ability to optimize risk strategies, build predictive models, and enhance data infrastructure using cloud platforms such as AWS and GCP. Skilled in developing and automating data pipelines, creating interactive dashboards, and deploying end-to-end ML solutions. Adept at leveraging statistical techniques and ML models to generate actionable insights, drive strategic decision-making, and mitigate operational risks.
August 2021 - December 2022
Redfish Server Implementation using OpenAPI
Made use of Python and Web Scraping (Selenium Library) to scrape players information and statistics from a website and extract structured data using pandas.
Contributed to improved lending decision-making processes by delivering accurate predictions of loan defaults using Python, Pandas, Machine Learning, highlighting skills in data analysis, preprocessing, modeling, and evaluation.
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