My name is Banavsha Sai Chandran.
I am a Business Intelligence Consultant and Data Analyst with 5+ years of corporate experience & 7+ years of freelancing experience, working across diverse industries, helping organizations turn scattered data into clean, reliable, and decision-ready reporting systems.
My work covers the full BI lifecycle—from data extraction, cleaning, transformation, and modelling to building intuitive dashboards, automated reports, and scalable analytics solutions. I am also a Microsoft Certified Power BI Analyst, with hands-on expertise in Power BI, Tableau, Data Studio (Google), Excel, SQL, and multiple data platforms.
I bring together Data analytics experience, statistical understanding, and business-focused thinking to create reporting solutions that are accurate, scalable, and easy to use. With a strong background in Data Science, Statistics, Computer Applications, and BI development, I can help organizations move from scattered data and manual reporting to clean, automated, and insight-driven dashboards.
Main tools –
- Power BI
- Tableau
- Data Studio (Google)
- Python
With my skills, I can create deep insights from complex data, create powerful visualizations, reports and dashboards which facilitate business decision-making.
Additional Skills:
*Microsoft Fabric *Power Query *Azure *Google Cloud Platform
* Statistics *SQL * Excel * BigQuery
My core strengths include:
- Connecting and integrating data from multiple sources (APIs, Azure, AWS, Excel, Google platforms etc.)
- Designing clean, business-focused dashboards that drive decision-making (not just visuals)
- Ensuring data accuracy, performance optimization, and scalability for real-time or near real-time reporting.
- Managing Power BI Service, Fabric and Azure: end-to-end, including publishing reports, setting up workspaces, configuring access controls, and ensuring the right users have the right level of visibility, managing, processing, and analyzing data using built-in tools like Lakehouses, Warehouses, and Power BI semantic models.
- Structuring datasets/models for long-term usability and minimal maintenance
Educational Qualifications:
- MSc in Data Science
- Postgraduate Diploma in Statistics
- Bachelor of Computer Applications
