As an Analyst with a Master's in Computer Science from USC and 2 years of experience at Goldman Sachs, my focus has been on enhancing operational efficiency and reducing process latency through technological solutions.

Experience

2024 — NowArtian AISoftware Engineer

2024 — Now

New York, United States

2020 — 2022Goldman SachsData Engineer

2020 — 2022

> Designed a Python based data extraction pipeline to extract and analyze financial markets data and transform for ingestion into the document review system. Improved overall latency by 10x, reducing from 50 mins to 5 mins.

> Collaborated with developers to Migrate legacy trading system to a modern cloud-based derivative platform, proposed insights, conducted testing, pinpointed issues, and improved document TAT, benefitting around 700 traders.

> Led the development of a data validation tool, reduced errors by 25%, ensuring the accuracy of trades. Automated weekly reports for operations which helped in managing risk within the team and effective monitoring for stakeholders.

> Deployed Python scripts to create Analytics dashboards using Tableau for real-time risk visualization, and contributed to exotic trade reviews in emerging markets, mitigating risks and optimizing Alteryx workflows to improve operational efficiency by 25%.

2020 — 2020Goldman SachsBusiness Intelligence Intern

2020 — 2020

Bengaluru, Karnataka, India

Implemented RPA (Robotic Process Automation) for trade lifecycle management, handling 10k transactions, enhancing STP (Straight Through Processing) rates through automated workflows, and boosting operational efficiency and process optimization.

Developed a python dashboard to calculate the loss of efficiency due to the pandemic. The platform facilitated quantifying optimal working conditions and disbursements to enhance work-from-home setup, ultimately increasing efficiency by 20% in global markets division.