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@karankumar97
Finance professional skilled in data analysis and financial modeling.
I am a finance professional with a robust foundation in market data, financial modeling, and applied machine learning. My experience spans wealth management, credit risk, and AI-driven financial data annotation. I have a proven track record of analyzing large-scale datasets and streamlining data workflows, which has been instrumental in supporting the development of NLP models for FX trade classification at Bloomberg.
At Bloomberg, I annotated and validated over 50,000 institutional FX chat messages, significantly enhancing model intent classification accuracy. My collaborative efforts with data scientists and ML engineers have led to improved training data quality, and I have developed annotation protocols that increased model precision. I am passionate about leveraging quantitative research and statistical modeling to drive financial insights and enhance trading strategies.
In addition to my professional experience, I have successfully managed significant financial transactions and conducted extensive portfolio analyses during my internships. I am eager to continue growing in the finance sector, utilizing my skills in data analysis and machine learning to contribute to innovative financial solutions.
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Work history, roles, and key accomplishments
Bloomberg LP
May 2025 - Present (6 months)
Annotated and validated over 50,000+ institutional FX chat messages to identify trade intent for Bloomberg’s NLP model training pipelines. Collaborated with data scientists and ML engineers to enhance training data, improving model intent classification accuracy by 12%.
Beacon Trust
May 2024 - Present (1 year 6 months)
Managed $50MM+ in money movement transactions with compliance tracking, reducing processing errors by 13%. Conducted 200+ portfolio analyses to improve client reporting accuracy by 20% and portfolio rebalancing over $100MM+.
Provident Bank
May 2023 - Present (2 years 6 months)
Evaluated creditworthiness for a $200MM+ loan portfolio, enhancing underwriting accuracy by 20%. Modeled DSCR, LTV, and cash flows for 50+ clients, reducing projected default risks by 12%.
Degrees, certifications, and relevant coursework
Bachelor of Science, Finance
Relevant coursework included Investment Analysis, Corporate Finance, Global Capital Markets, Derivatives, Asset Price and Portfolio Analysis, Managerial Accounting, Analysis of Financial Statements, and Treasury Management. This comprehensive curriculum provided a strong foundation in financial principles and practices. The program focused on developing analytical skills essential for a career in
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