Ayush Garg

CEO

Amsterdam, North Holland, Netherlands3 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Strong foundation in quantitative research from IIT Delhi.
Experience in analyzing large datasets for impactful marketing strategies.
Passionate about merging analytical skills with business development.

Stackforce AI infers this person is a Quantitative Researcher with a focus on data-driven marketing strategies in the Advertising Technology sector.

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Skills

Other Skills

AWSAlgorithmsGraphQLPythonTeam Leadership

About

With a strong foundation from IIT Delhi, I've ventured into the intricate world of finance as a Quantitative Researcher for the past year, solving complex problems and leveraging data to make informed decisions. My internships at top-tier research institutions and hands-on experience as a Research Assistant on critical impact projects during my academic years have given me a comprehensive perspective on the industry. While I deeply value the analytical rigor and mathematical prowess that underpin quantitative research, my passion lies in marrying these skills with interpersonal interactions, strategy, and business development. I am keen to drive impactful solutions and forge lasting partnerships.

Experience

Da vinci

2 roles

Quantitative Trader

Mar 2024 – Present · 2 yrs · Amsterdam, North Holland, Netherlands

Quantitative Researcher

Jul 2022 – Mar 2024 · 1 yr 8 mos · Amsterdam, North Holland, Netherlands

Stanford university graduate school of business

Research Intern

Aug 2021 – Jul 2022 · 11 mos

Collaborated with a global advertising technology company, stratified a subset of its ad impressions into nine experimental cohorts based on preceding video to generate 50GB+ impression-level viewing data across 2500 cities over three continents.
Cleaned, tested, and analyzed over 3.5 million ad impressions. Devised KPIs to compare cohorts; findings paved way for firms to analyze video emotions and incorporate ads with contrasting emotional content as a marketing strategy.

Finmechanics

Summer Associate

May 2021 – Jul 2021 · 2 mos

Indian institute of management ahmedabad

Research Assistant

Sep 2020 – Jul 2022 · 1 yr 10 mos

Ucl

Research Intern

May 2020 – Sep 2020 · 4 mos · Greater London, England, United Kingdom

The goal of this research project is to get (as far as in any way possible) rid of the detour on stochastic processes: Take the lower bound rule for weakest preexpectations for loops, identify exactly what happens in terms of weakest preexpectations, and thereby obtain a (possibly more general) optional stopping theorem for weakest preexpectations whose proof does not require martingale theory.