Open to opportunities

Shivesh Anand

@shiveshanand

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I’m a data analyst using BI dashboards and ETL to turn complex data into action.

India

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What I'm looking for

I’m looking for a data analyst role where I can build BI dashboards and ETL pipelines, strengthen data QA/validation, and turn insights into decisions—collaborating closely with business and technical stakeholders while leveraging AI tools for speed.

I’m a data analyst (1+ year experience) focused on solving complex business problems by building BI dashboards, engineering ETL pipelines, and improving data accuracy across reporting workflows. I’ve cut manual reporting effort by 40% and reduced reporting errors by 35% through Python automation and structured data validation.

I bring an AI-native mindset, using tools like Claude, CoPilots, and Cursor to move faster and scale my work. I’m certified in Power BI (PL-300), Google Data Analytics, and IBM AI Fundamentals, and I love translating complex data into simple, actionable stories for both technical and business stakeholders.

Across my internship work, I developed multi-page Power BI reporting with KPI tracking, designed reusable QA checklists and data cleaning steps, and maintained weekly ETL processes that shaped planning decisions. My goal is to keep stakeholder reporting reliable, audit-ready, and decision-oriented—so teams can self-serve insights with confidence.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

eSparse Matrix Solutions Pvt. Ltd.

Nov 2025 - Apr 2026 (5 months)

Built multi-page Power BI dashboards with 20+ DAX measures and dynamic slicers to give management a consolidated KPI view. Designed Python and SQL ETL pipelines and introduced structured data validation, reducing downstream reporting errors by 35% and improving stakeholder report reliability.

Power BI DAX Power Query Python (Pandas)SQL ETL Data Validation Data Cleaning KPI Reporting Data Visualization

Data Analyst Intern

Geeky Vision

Apr 2025 - Sep 2025 (5 months)

Automated repetitive data extraction and transformation with Python scripts, cutting manual processing time by 30% and producing documentation for team onboarding. Built Power BI and Tableau KPI dashboards used daily by non-technical stakeholders and defined a reusable data QA checklist adopted as a team standard.