Data Analyst • Business Intelligence • Reporting Analyst
Dhruv Shah
I build clean, automated reports and interactive dashboards that turn raw data into decisions. I specialize in SQL, Python, Power BI, and Tableau — with a focus on reporting clarity, performance metrics, and business impact.
About Me
Hello, I'm Dhruv
I'm a data analyst who loves building dashboards, reports, and data workflows that help teams make faster decisions. I enjoy working across the full stack of analytics — from SQL queries and data cleaning to polished visualizations in Power BI and Tableau.
My flagship project, F1-InsightX, is a live analytics app that explores Formula 1 telemetry, race strategy, and performance data. It reflects how I approach data storytelling: rigorous on the backend, clear on the frontend.
I also contribute to open source, mostly around SQL-related issues, query documentation, and data tooling. I care about reproducible analysis, clean schemas, and reports that actually get used.
I'm actively looking for roles in data analytics, business intelligence, and reporting analysis.
Experience
Where I've Worked
- Modeled relational datasets for completion records, reward transactions, and user achievements across 10+ product components, creating structured data for reporting and downstream analysis.
- Improved business-rule consistency and reduced duplicate validation logic by 25% by developing reusable workflows for reward eligibility, verification checks, and activity-based rules.
- Translated product and operational requirements into validated data structures for achievement and rewards tracking, improving consistency across user activity and reporting workflows.
- Reduced manual analysis time by 30% by developing Python ETL pipelines to ingest, clean, transform, and validate large-scale research datasets for repeatable analysis and reporting.
- Improved experimentation cycle time by 20% by building configurable analytics modules with parameterized weighting logic, standardized preprocessing, and automated data-quality checks.
- Developed analytical workflows and visualizations to identify trends, compare experimental results, investigate data inconsistencies, and communicate findings for stakeholder review.
- Reduced manual data processing by 30% by developing Python ETL pipelines to ingest, clean, transform, validate, and standardize multi-sheet WHO datasets for downstream analysis.
- Analyzed DALYs, treatment coverage, drug efficacy, and country-level health indicators to identify trends and support quantitative comparisons across healthcare datasets.
- Improved analytical reproducibility by standardizing spreadsheet-to-Python workflows for impact-score calculations, data validation, transformation, research reporting, and stakeholder review.
- Automated recurring production and inventory reporting by writing MySQL queries and developing Python and Excel workflows for data extraction, transformation, and weekly operational reporting.
- Cleaned, validated, transformed, and analyzed production, inventory, procurement, and machine-utilization data using SQL and Python to identify operational trends and improve reporting consistency.
- Developed Excel KPI reports and dashboards for production output, inventory levels, and machine utilization, supporting management reviews, inventory planning, and operational decision-making.
Projects
Featured Work
Skills
What I Bring
Data & Analytics
Databases & Tools
Soft Skills
Education & Certifications
Credentials
M.S. in Computer Science
Binghamton University, SUNY
Expected Sept 2026 • Binghamton, NY
Microsoft Certified: SQL AI Developer Associate
Aug 2026 • Verify credential via Microsoft
Microsoft Certified: Fabric Analytics Engineer Associate
Aug 2026 • Verify credential via Microsoft
Contact
Let's Work Together
Have a project, role, or idea in mind? I'd love to hear from you. Fill out the form or reach out directly through email or LinkedIn.