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darshanabk/README.md

👋 Hi, I'm Darshana Balakannan

Data Analyst | Business Intelligence | Data Quality & ETL

I work with data from the point where it is messy and inconsistent to the point where it can support a reliable business decision. My experience spans SQL, Python, Power BI, Tableau, ETL testing, data quality, and dashboard development.

I'm currently open to Data Analyst, BI, and analytics opportunities, including full-time, contract, freelance, and project-based work.

📍 Coimbatore, Tamil Nadu, India

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🚀 Client Project

Disaster Relief Analytics Platform

Client: Samarthya NGO | Pro Bono Data Analyst | 2026

Built an end-to-end Power BI analytics platform to support relief distribution transparency and beneficiary analysis across 3,000+ beneficiaries.

The project involved working with real-world field data, data-quality issues, geospatial information, vulnerability records, and field evidence to create a reporting solution for organizational stakeholders.

Key areas of work:

  • Data cleaning and validation using Power Query and Python
  • Designed a star-schema data model for reporting
  • Developed 60+ DAX measures
  • Built interactive Power BI dashboards with drill-throughs, tooltips, maps, and KPI reporting
  • Validated beneficiary and geospatial information
  • Integrated field-evidence photos using Python, KoboToolbox API, and Google Drive
  • Implemented access controls to support privacy-conscious reporting
  • Designed the reporting experience around transparency, verification, and data quality

Tools: Power BI · DAX · Power Query · Python · KoboToolbox API · Tabular Editor · Google Drive

⭐ Client Feedback

"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."

— Ranjita Pawar, Founder & Director, Samarthya

View the client review on LinkedIn →


📊 Featured Projects

Developed an automated analytics pipeline using the YouTube Data API, Python, Pandas, Streamlit, and Plotly to analyze engagement and growth trends across DevOps-focused channels.

  • Automated API-based data collection
  • Cleaned and standardized large-scale video and channel metadata
  • Built engagement and growth scoring
  • Developed interactive geographic and channel-level analysis
  • Created rankings for top-performing channels and videos

Tools: Python · Pandas · Streamlit · Plotly · YouTube Data API


Analyzed hiring trends, salary distribution, and rejection rates using Excel and Tableau, transforming recruitment data into interactive dashboards and actionable insights.

Tools: Excel · Tableau · Data Visualization


Explored relationships between movie genres, ratings, budgets, and revenues through data cleaning, statistical analysis, and visualization.

Tools: Excel · Tableau · Data Analysis


Used SQL to analyze Instagram user behavior, engagement, marketing effectiveness, retention opportunities, and platform integrity.

Tools: SQL · Data Analysis


Analyzed 19,000+ Indian agricultural records from 1997–2020 using Python and Tableau to identify production trends, regional patterns, and agricultural insights.

Tools: Python · Tableau · Data Visualization


💼 Experience

Data Analyst — Pro Bono

Samarthya NGO · Apr 2026 – Aug 2026

Working on data analytics and business intelligence for humanitarian relief operations, including Power BI reporting, data validation, data modeling, and transparency-focused analytics.

Associate Analyst — Quality Assurance

Deloitte USI · Aug 2022 – May 2024

Worked on data quality and ETL validation for a large-scale healthcare data environment.

  • Performed source-to-target data validation using SQL
  • Tested ETL/ELT pipeline transformations
  • Investigated data-quality issues and discrepancies
  • Documented 250+ QA findings/execution observations
  • Worked with SQL Server and large-scale healthcare datasets

Data Analyst Trainee

Trainity · Jun 2024 – Nov 2024

Completed 8 hands-on data analytics case studies covering profitability, user engagement, operations, hiring, movie ratings, banking risk, automotive pricing, and call-volume analysis.


🛠️ Technical Skills

Data Analysis

Python SQL Excel Pandas NumPy

Business Intelligence

Power BI Tableau Streamlit

Data Engineering & Cloud

AWS Git Bash

Other: DAX · Power Query · M · ETL/ELT · Data Quality · Data Modeling · REST APIs · PostgreSQL · SQL Server · Tabular Editor


🎓 Education & Certifications

Master of Computer Applications (MCA) Vellore Institute of Technology · Expected Dec 2026

BSc Computer Technology Sri Krishna Arts and Science College · CGPA 8.8/10

Certifications

  • AWS Certified Cloud Practitioner — Jan 2024
  • Microsoft Power BI for Business Intelligence — Maven Analytics, Apr 2025
  • Data Analytics Job Simulation — Accenture / Forage, Dec 2024

🤝 Let's Connect

I'm interested in opportunities where I can work with real-world data, solve data-quality problems, build useful dashboards, and turn analysis into decisions.

📧 Email: darshanabalakannan@gmail.com 💼 LinkedIn: linkedin.com/in/darshanabk 💻 GitHub: github.com/darshanabk


Turning messy data into information people can trust.

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  1. YouTube-Trends YouTube-Trends Public

    An automated pipeline that uses the YouTube Data API to extract video data based on specific keywords, storing the most-viewed videos in GitHub for trend analysis and actionable insights.

    Jupyter Notebook 6 2