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Divyanshi Panwar

@divyanshipanwar

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Aspiring Operations & Data Analyst focused on trade reconciliation, validation, and automation.

India

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What I'm looking for

I’m looking for a Summer Analyst role in Operations where I can apply data validation, trade reconciliation, and quantitative analysis to improve trade processing and regulatory accuracy through reliable, automated workflows.

I’m a B.Tech Computer Science & Engineering (Data Science) student with hands-on experience in trade reconciliation, data validation, and process automation. I built an automated reconciliation engine achieving 98%+ precision and recall on a controlled 500+record dataset, and I reduced manual processing time by up to 90% using structured data pipelines.

I bring strong SQL, Python, and Excel foundations, supported by an NCFM Financial Markets certification, and I enjoy turning messy, high-volume data into audit-ready outputs. I’m seeking a Summer Analyst role in Operations to apply data validation, reconciliation, and quantitative analysis to trade processing and regulatory accuracy in a global financial services environment.

Experience

Work history, roles, and key accomplishments

CodeVita Participant

Tata Consultancy Services

Represented MIET Meerut as a CodeVita participant at Tata Consultancy Services, solving algorithmic and data-structure problems under timed contest conditions.

Competitive Programming Algorithms Data Structures

Outreach & PR Team Lead

Tech4Hack

Led outreach and PR efforts for Tech4Hack, coordinating outreach campaigns with design, logistics, and sponsorship teams. Drove a 35% increase in participant reach across hackathon events.

Outreach Public Relations Event Coordination Sponsorship Management

Scaler Young Innovator Internship

Scaler

Selected for the Scaler Young Innovator Internship (2nd Edition), recognizing initiative and technical aptitude beyond coursework.

Education

Degrees, certifications, and relevant coursework

Meerut Institute of Engineering and Technology

Bachelor of Technology (B.Tech), Computer Science & Engineering (Data Science)

2024 -

Grade: CGPA: 8.67 / 10

Activities and societies: Relevant coursework: Financial Markets (NCFM), Statistics & Probability, Database Management Systems, Data Structures & Algorithms.

B.Tech in Computer Science & Engineering (Data Science) at Meerut Institute of Engineering and Technology (2024–2028), with focus on data structures, databases, statistics, and financial markets (NCFM). Holds a CGPA of 8.67/10.