I make messy data tell the truth.
Data analyst with 2+ years across ETL testing, business intelligence, and analytics — turning inconsistent, real-world datasets into dashboards and decisions people can actually trust.
- Beneficiaries tracked3,000
- DAX measures shipped60+
- QA findings documented250+
- Years in data & QA2+
Case studies, not screenshots.
Two projects that show the same thing from different angles: taking data nobody fully trusted yet, and building the process — not just the chart — that makes it trustworthy.
Disaster relief analytics platform
An end-to-end Power BI platform built for Samarthya NGO to track relief distribution and vulnerability across 3,000 beneficiaries — from inconsistent field records to a star-schema model that leadership and donors could rely on.
- Reviewed and reconciled raw beneficiary records for duplicates, formatting issues, and structural inconsistencies before any reporting began.
- Unpivoted wide-format vulnerability data in Power Query into a structure that supports real per-condition analysis.
- Validated geospatial coordinates against beneficiary, habitation, and government master records for accurate mapping.
- Migrated the reporting layer from Looker to Power BI to support interactive geospatial drill-through and custom tooltips.
- Built a Python pipeline against the KoboToolbox API and Google Drive to organize field-evidence photos for verification.
- Implemented object-level security in Tabular Editor so volunteers, admins, and donors each see only what they should.
Tools: Power BI · DAX · Power Query · Python · KoboToolbox API · Tabular Editor
"Working with Darshana on our Flood Relief 2026 project was exceptional. She built an advanced Power BI dashboard with GPS, photo, and signature validations to ensure transparency. Patient, friendly, and highly skilled — she delivered a clean, user-friendly tool while upholding beneficiary dignity."
YouTube trend analysis: a data-driven deep dive into DevOps content
An automated pipeline that pulls video metadata from the YouTube Data API for DevOps-focused channels, then surfaces engagement and growth trends through a filterable Streamlit dashboard — sliceable by continent, country, channel, category, and year.
- Built an automated collection pipeline against the YouTube Data API to gather channel and video metadata at scale.
- Cleaned and standardized views, likes, comments, and subscriber counts for reliable comparison across channels.
- Designed engagement-score and growth-score gauges that benchmark each filtered slice against the overall average.
- Built continent- and country-level breakdowns plus top-10 rankings for the most engaging channels and videos.
Tools: Python · Streamlit · Pandas · Plotly · YouTube Data API
View the live dashboard
A toolkit built for accuracy first.
Everything here supports one goal: making sure the number on the dashboard is the same number that's actually true in the source data.
Data analysis & querying
SQL, complex joins, CTEs, window functions, aggregations, data validation, data quality, ETL/ELT testing, Excel, XLOOKUP, VLOOKUP
Business intelligence
Power BI, DAX, Power Query, M, star schema, data modeling, drill-through, dynamic tooltips, geospatial visualization, Tableau, Looker, Streamlit, Plotly
Programming & automation
Python, Pandas, NumPy, Google Apps Script, JavaScript, REST APIs, API integration
Data sources & platforms
MS SQL Server, PostgreSQL, KoboToolbox API, Google Drive, Google Sheets, YouTube Data API
Tools & engineering
Git, GitHub, Jira, Unix/Bash, Tabular Editor
Cloud & governance
AWS, object-level security, data privacy, data quality governance
Where the work happened.
Data Analyst, Pro Bono — Disaster Relief Analytics
Designed and maintain an end-to-end Power BI analytics platform tracking relief distribution and vulnerability across 3,000 beneficiaries, with governance controls built for donor accountability.
Associate Analyst — Quality Assurance
Validated data accuracy and pipeline integrity for a large-scale US healthcare ELT system, writing source-to-target reconciliation SQL and documenting 250+ execution observations.
Data Analyst Trainee
Completed 8 end-to-end case studies spanning profitability, risk, hiring, and operations analytics using SQL, Python, Tableau, and Power BI.
Certifications
Education
Open to meaningful work, not just job titles.
I'm open to different ways of contributing — from freelance dashboard work to collaborations, volunteering, and practical projects with students or early-career teams.
Good analytics shouldn't be out of reach for smaller organizations.
I'm currently looking to take on selected free or low-cost dashboard projects for small businesses, NGOs, community initiatives, and organizations where better reporting can create real value. Pricing can be flexible — based on the organization's situation and ability to pay.
Let's use data to make a practical impact.Freelance Projects
Power BI dashboards, data cleaning, reporting, SQL analysis, KPI development, and business intelligence for real-world business needs.
Project Collaboration
Collaborate with analysts, developers, founders, researchers, or teams building practical data products and analytics projects.
Volunteer / Pro Bono
Open to meaningful analytics work for NGOs, social-impact organizations, community initiatives, and causes where data can help.
Student & Early-Career Projects
Happy to collaborate on portfolio projects, dashboards, data analysis initiatives, and practical learning projects.
Bring me a dataset nobody trusts yet.
I'm open to data analyst and BI roles — remote or Coimbatore-based. Reach out directly, or connect on LinkedIn or GitHub.
Tell me what you're working on. No matter whether it's a paid project, collaboration, volunteer opportunity, or student project.