Aditi Goyal

Software Engineer

Hyderabad, Telangana, India4 yrs experience

Most Likely To Switch

Key Highlights

Expert in quantitative research and automated trading strategies.
Proficient in software development with a focus on machine learning.
Strong background in Python and data analysis for finance.

Stackforce AI infers this person is a Fintech expert with strong capabilities in quantitative analysis and software development.

Contact

aditigoyal@stripe.com LinkedIn

Skills

Core Skills

Software DevelopmentJavaQuantitative ResearchData AnalysisCryptocurrency TradingMachine LearningWeb Scraping

Other Skills

Android StudioBashBazelC (Programming Language)C++DatazNLTKNatural Language Processing (NLP)Parallel ProgrammingProtocol BuffersPython (Programming Language)Quantitative Analysis (Finance)RSelenium

Experience

Google

Software Engineer

Dec 2024 – Present · 1 yr 3 mos · Hyderabad, Telangana, India

Software DevelopmentJavaBazelProtocol BuffersDataz

Windfall capital

Quantitative Researcher

Jul 2024 – Nov 2024 · 4 mos · Bengaluru, Karnataka, India · Remote

Developed mid frequency strategies for crypto markets by data analysis in Python

Python (Programming Language)Quantitative Analysis (Finance)Quantitative ResearchData AnalysisCryptocurrency Trading

Quadeye

Quantitative Strategist

Jun 2023 – Jun 2024 · 1 yr · Gurugram, Haryana, India · On-site

Worked on developing alphas in high, mid frequency automated trading strategies in the crypto market
Worked on automation for solving production related issues, reporting, reducing & monitoring latencies

Quantitative ResearchC++Python (Programming Language)RBashQuantitative Analysis (Finance)+1

Google

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos · India · Remote

Extended the existing latent semantic Document Classification model by adding new labels
Proposed and implemented an algorithm for building hierarchy between proposed labels in parallel for all labels
Used FlumeC++ for data analysis and processing and performed unit testing for the pipeline functions
Obtained 4 fold increase in number of labels for the classifier and automated the process of scaling labels in the classifier

Software DevelopmentC++Parallel ProgrammingMachine Learning

The d. e. shaw group

DESIS Ascend Educare Fellow

Oct 2021 – Mar 2022 · 5 mos · Remote

Selected for the six-month-long DESIS Ascend Educare program by D.E. Shaw India.

Metripping

Data Science Intern

May 2021 – Jul 2021 · 2 mos · Remote

Implemented Word2Vec + SIF model to determine similarity between descriptions to facilitate activity recommendation
Used NLTK for pre-processing data, selenium for scraping data from different providers and sklearn for building model

Python (Programming Language)Machine LearningSeleniumWeb ScrapingNatural Language Processing (NLP)NLTK