# Kartikeya Syal

> Software Engineer | Data Engineer @ Goldman Sachs | Quantitative Analyst - Fixed Income and Credit Derivatives | Python, RAG, AI Agents, GenAI, SQL, AWS, Full-Stack Development, Spark, Snowflake, Airflow

Location: New York, New York, United States
Profile: https://flows.cv/kartikeyasyal

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. At Goldman Sachs, I led initiatives that improved data processing and trading system efficiencies by 60%, directly impacting the company's ability to serve its clients more effectively. My expertise lies in SQL, Python, PowerBI, Alteryx, and Tableau for statistical analysis and data visualization, alongside software engineering skills in JavaScript, Angular, React, Node.js, Docker, Kubernetes, AWS, and GCP.

At Goldman Sachs, I contributed to various projects - 

Utilizing Python and SQL, I crafted a data extraction pipeline that streamlined financial market data analysis, reducing processing time by 10x. This innovation facilitated rapid decision-making by leveraging statistical analysis and data visualization tools, including PowerBI for dynamic reporting and insights.

I collaborated with developers in transitioning a legacy trading system to a modern, cloud-based platform using AWS services. This shift improved document processing efficiency significantly, aiding traders in refining their daily workflows. The project incorporated Alteryx to manipulate and prepare data, ensuring seamless migration and integration.

To tackle trade inaccuracies, I developed a data validation tool using Python and SQL, which cut errors by 25%. This innovation secured trade data integrity. Additionally, automating weekly reports through Python enhanced risk management and stakeholder oversight, with Tableau providing clear visualizations.

Skills: Python, React, Node.js, MS SQL Server, Express.js, GitLab, Selenium, JIRA, Azure DevOps, Docker, Kubernetes, GCP, RESTful API, Java, Python, AWS EC2, AWS Lambda, Amazon S3, Apache Kafka

🌟 I thrive on challenges that blend web technologies (like React and Node.js) with data science and fintech, keen to contribute to and grow with innovative teams. I'm on the lookout for roles where my passion for software engineering, web development and analytics can drive real business results.

🔗 I enjoy connecting with fellow tech enthusiasts and professionals. Let’s collaborate or discuss opportunities at ksyal@usc.edu

## Work Experience
### Software Engineer @ Artian AI
Jan 2024 – Present | New York, United States

### Data Engineer @ Goldman Sachs
Jan 2020 – Jan 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%.

### Business Intelligence Intern @ Goldman Sachs
Jan 2020 – Jan 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.

### Supply Chain Management Intern @ Ecolab
Jan 2019 – Jan 2019 | Pune, Maharashtra, India
Worked as SCM intern.
Created a dynamic dashboard for analysis of the TPM activities in the industry using Excel VBA.

### Design Head @ ASME-VIT
Jan 2018 – Jan 2019 | Vellore, Tamil Nadu, India
Design Head of ASME-VIT.
Organizer of International event E-Fest Asia Pacific 2019


## Education
### Master of Science - MS in Computer Science
University of Southern California
Jan 2022 – Jan 2024

### Bachelor of Technology in Mechanical Engineering and Minors Degree in Computer Science
Vellore Institute of Technology
Jan 2016 – Jan 2020

### Master of Science - MS in Computer Science
University of Southern California
Jan 2022


## Contact & Social
- LinkedIn: https://linkedin.com/in/kartikeyasyal

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Source: https://flows.cv/kartikeyasyal
JSON Resume: https://flows.cv/kartikeyasyal/resume.json
Last updated: 2026-03-23