Prathyusha(Prathy) Kamasani

I’m Prathyusha (Prathy) Kamasani, a solopreneur behind Data Nova, a small, purpose-driven business specialising in Microsoft BI solutions. With over 15 years of experience in the data space, I take a design-first approach to everything I build. Whether I’m developing well-structured data platforms or creating user-centric Power BI reports, my goal is to make data accessible, intuitive, and genuinely impactful. From delivering end-to-end Microsoft Fabric solutions to crafting interactive data visualisations, I bring together design and data to help organisations uncover the insights that truly matter. I’m also passionate about sharing knowledge and building community. Since 2016, I’ve been running the London Microsoft Fabric User Group. You’ll often find me speaking at conferences or hosting events at the London Fabric User Group

Previous Sessions

One dataset and three use cases with Microsoft Fabric

Are you curious about how to leverage Open Data with Fabric? In this demo filled session, I will show you how I import World Bank Open Data into Fabric using different methods: Pipelines, Data factory Gen-II, Notebooks and a mix of all three. Then I will demonstrate how I do modelling using Warehouse, Power BI Dataset model and Notebooks. Finally, I will create stunning reports using Power BI. By the end of the session, attendees will get an idea of how each artifact would work, why one would use one over other artifacts, and understand how to create an end-to-end solution with Microsoft Fabric

Powering Up Your Power BI Development Workflow with Microsoft Fabric Notebooks

Are you excited about Microsoft Fabric and its Notebooks feature, but also feel overwhelmed by the different languages it supports, this session is for you. You will learn the basics of Python and Spark, and how to use Notebooks to write and run code. You will also discover how to leverage tools like CoPilot to assist you with code suggestions and corrections. Moreover, you will see how to use libraries like SemPy to enrich your Power BI development with advanced analytics. Join Prathy in this session and get ready to explore the possibilities of Notebooks in Microsoft Fabric.

Demystifying Power BI Slicers and filters

When it comes to Power BI Reports design, both slicers and filters have their own space and use cases. However, Slicers and filters are probably among the most frequently misused terms in Power BI design. In this session, we will start with what are Power BI Slicers and filters. What are the differences between and when to use what? We will investigate the pros and cons of each and how to get the best of both filters and slicers in Power BI. By the end of the session, attendees will get an overall view of Power BI slicers and filters in Power BI designing.

Power BI bookmarks in 20 minutes

In this 20 minute session, you will learn everything you need to know about bookmarks. We will start with creating your first bookmark to multiple bookmarks by understanding advanced settings that usually get overlooked. We will also look at how we can ease the design and Maintainance of bookmarks by using features like grouping, renaming, selection pane, and naming conventions. By the end of the session, you will learn to apply bookmarks like a pro!

Power BI Report design Tips and Tricks

A demo's filled session packed with tips and tricks to show how to transform usual Power BI reports to stunning reports

Introduction to PowerApps and Integration with Power BI

In this session, attendees learn about how to create PowerApps solutions, how to use PowerApps as data entry application for Power BI. How to integrate PowerApps in Power BI and Power BI in PowerApps.

Power BI deployment strategy for publishing and maintenance

It takes minutes to create and share Power BI reports and users who has relevant Power BI access can do many things in the PBI service. In this session, Prathy will show how having a deployment strategy helps maintaining Power BI service.

Deep Dive into SSIDB Catalog

A session to understand the available functionality of SSISDB Catalog