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Geetansh SinghGS
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Geetansh Singh

@geetanshsingh

Technology operations analyst at ION Trading who migrated 11 clients to CME Group’s STP FIX API on Google Cloud.

India
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What I'm looking for

I'm seeking opportunities in technology consulting, software engineering, technical operations, and business-oriented roles.

At ION Trading India Private Limited, I analyzed and resolved client issues and supported trading and bookkeeping SaaS across 12 clients and three regions. I also led the migration of 11 clients to CME Group’s STP FIX API on Google Cloud, with all 11 completing before the exchange’s mandatory deadline.

I automated start-of-day platform health checks using Robot Framework and Jenkins, and supported production operations, testing, and releases for trading SaaS clients. Earlier, as a Software Engineer Intern at ScoreMe Solutions Pvt. Ltd., I developed Python and Java processing logic that classified PDFs and extracted financial institution details with 98.6% accuracy.

Experience

Work history, roles, and key accomplishments

IL

Operations Analyst (Technology Operations)

ION Trading India Private Limited

Jan 2025 - Mar 2026 (1 year 2 months)

Analyzed and resolved 800+ complex client issues and service interruptions across P1-P4 severity levels, exceeding the peer resolution average by 60%. Delivered 24x5 production coverage for trading and bookkeeping SaaS used by 12 clients across 3 regions, and led migration of 11 clients to CME Group's STP FIX API on Google Cloud.

Education

Degrees, certifications, and relevant coursework

Coursera logoCO

Coursera

Google Data Analytics Professional Certificate, Data Analytics

Completed the Google Data Analytics Professional Certificate in 2026.

Jaypee University of Information Technology logoJT

Jaypee University of Information Technology

B.Tech, Computer Science and Engineering (Cloud Computing)

Grade: 9.07/10

Earned a B.Tech in Computer Science and Engineering with a focus on Cloud Computing, achieving a CGPA of 9.07/10.

Amazon logoAM

Amazon

Amazon Machine Learning Summer School, Machine Learning

2024 - 2024

Participated in the Amazon Machine Learning Summer School from June to July 2024.

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