Yash Sinha
Quantitative Analyst at Goldman Sachs
Based in New York, United States
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Seniority
Staff
Department
Finance & Accounting
Location
New York
Industry
Financial Services
Company size
68K
Contact information
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y•••••••@goldmansachs.com
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Background
About Yash Sinha
Embarking on a journey through the realm of finance and technology, I have carved a unique niche at the intersection of financial engineering and data science. With a foundation laid at the prestigious New York University and the Indian Institute of Technology, my expertise is not just academic. It’s battle-tested in the real world.At Akanomics in New York, my stint as a Strategist Intern saw me elevating portfolio performance through innovative trading strategies and data-driven insights, leveraging machine learning for alpha generation. My role at ZS Associates further honed my skills in data analysis and machine learning, leading projects that significantly impacted revenue strategies and operational efficiencies.Teaching and mentoring at NYU's Tandon School of Engineering, I shared my passion and knowledge of machine learning and data visualization with budding financial engineers, fostering a new generation of quantitative minds.My technical toolkit is extensive, with proficiency in Python, SQL, Tableau, and a variety of machine learning methodologies. I thrive on challenges that blend quantitative analysis, predictive modeling, and data engineering to solve complex problems in finance.Driven by a relentless pursuit of excellence and a merit-based scholarship from NYU, I stand ready to make a mark in the world of financial technology. Let's connect and explore how we can innovate and lead in this dynamic field together.
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