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Jaya Nirwan

@jayanirwan

Aspiring data analyst turning SQL and Python insights into dashboards, retention gains, and faster decision-making.

India
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What I'm looking for

I’m looking for a data analytics role where I can build SQL/Python dashboards, validate insights against KPIs, and partner with stakeholders to improve customer retention, reporting accuracy, and operational decisions.

I’m an aspiring data analyst with practical experience in data analysis, reporting, and visualization. I use SQL, Excel, Python, and Power BI to find trends, explain what matters, and support strategic decisions.

At HRS Group (Apr 2024 - May 2025), I analyzed complex hotel booking data for Fortune 500 clients including Google, Siemens, Volkswagen, DHL, and Airbus. By working with the Data Consulting Team, I uncovered patterns that led to new feature development and a 20% increase in customer retention over six months.

I’ve also centralized client-ready views using MicroStrategy dashboards, enabling rate comparisons and improving data processing speed by 15%. I validate reporting accuracy (up 25% against business KPIs), consolidate external booking data using Product Spend Data Factory (SDF), and collaborate in product discussions with data-driven feedback—all while communicating clearly with stakeholders.

Experience

Work history, roles, and key accomplishments

HG

Data Analyst

HRS Group

Apr 2024 - May 2025 (1 year 1 month)

Analyzed complex hotel booking data for Fortune 500 clients (Google, Siemens, Volkswagen, DHL, Airbus) to identify trends and drive growth. Improved user engagement and reporting accuracy by 25% and increased customer retention by 20% over six months through data validation, dashboarding, and spend/booking pattern analysis.

Education

Degrees, certifications, and relevant coursework

UU

UIET, Maharshi Dayanand University

Bachelor of Technology, Computer Science Engineering

2020 - 2024

Grade: 73% (aggregate)

Bachelor of Technology in Computer Science Engineering at UIET, Maharshi Dayanand University (Rohtak), completed with a 73% aggregate.

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