Fanni Vagasi
Multi-Age Quantitative Analyst@ BlackRock
London, Greater London, United Kingdom
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Fanni Vagasi is a Quantitative Analyst with 7.5 years of experience in the financial services industry. She is skilled in Python, SQL, data analysis, data collection, and data modeling, as well as machine learning. Fanni has a strong interest in machine learning and holds a degree in Economics from UCL. She has worked at BlackRock in the United States as a Multi-asset Quantitative Analyst and Summer Analyst, as well as at Goldman Sachs as a Spring Intern. Fanni is based in London, United Kingdom.
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Emails and Phone Numbers

@blackrock.com
+44 773348****
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About

Quantitative Analyst working in the financial services industry. Skilled in Python (Programming Language), Data Collection, Time Series Analysis, SQL with an interest in Machine Learning. Graduated from UCL with a degree in Economics.

Work Experience

50 Hudson Yards, New York, NY, 10001, US

Financial Services

25539
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Fanni Vagasi's Professional Milestones

  • Multi-Age Quantitative Analyst (2018-07-01~): Developed and implemented a comprehensive and highly efficient data analysis system to enhance analytical skills and decision-making.
  • Spring Intern (2016-04-01~): Contributed to the development of standardized learning materials and improved overall learning outcomes for students.
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