Henna Dialani
Associate
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHenna Dialani is an engineer in Goldman Sachs’ Global Investment Research Engineering team with eight years of experience building data-driven platforms, taxonomy software, machine learning models, and personalization solutions across New York, London, and Hong Kong. A UCLA graduate in Statistics with minors in Digital Humanities and Mathematics, she blends quantitative rigor with a human-centered view of data products. At Goldman Sachs she progressed from analyst to associate roles, delivering production-ready systems that support research workflows and analytics. Her background includes research internships at NIH and hands-on editorial experience as Stack Editor at the Daily Bruin, reflecting both technical depth and strong communication skills. Outside work she’s equally likely to debug a model or debate the merits of cheung fan versus paneer tikka, bringing curiosity and cross-cultural perspective to complex engineering problems.
8 years of coding experience
5 years of employment as a software developer
International Baccalaureate, International Baccalaureate at King George V SchoolUniversity of California, Los Angeles
English, Hindi, French, Chinese
Github Skills (8)
stack10
data-journalism10
data-science9
jekyll9
datasets9
data-visualization9
journalism8
react3
Programming languages (2)
Github contributions (5)
hennadialani/hennadialani.github.io
Dec 2018 - Jan 2019
Contributions:7 pushes, 1 branch in 14 days
hennadialani/netflix-and-charts
Jan 2019 - Jan 2019
Contributions:3 pushes, 1 branch in 1 day
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