● Nine plus years’ of Industry experience and into Data analytics domain.
● Undertaking requirement gathering from client, Power BI dashboard and report development.
● Communicate cross functional team to implement analytical solution, technical documentation, data collection, preprocessing, and analysis and industry research. Development of key segments strategies by analyzing data and insights to determine industry wide and consumer trends while maintaining end-to-end customer journey.
● Proven experience in handling large volume of data and analyzing unstructured and structured data using different BI tools. Fair understanding on DW concepts.
● Handling end to end Power BI project delivery from requirement gathering to publishing the report to service and setting up the gateway and refresh.
● Have undertaken projects on financial data, Telecom data, ITSM data, Sales Data, Marketing Data etc.
● Have worked with several client-based projects, where we use to have a daily based meeting for requirement gathering and data analysis.
● Have acted as a tech lead, where I was handling multiple projects together, serving different client across the globe.
● Fair understanding on Azure Data warehouse, blob storage, analytic model.
● Used SQL for querying the data and fetch it as required as per the requirement of data model and dashboard. Have worked with SQL and Python script in Power BI.
● Self-motivated, independent learner and willing to share knowledge with team members
● Reliable, resourceful and efficient team player with good Communication skills, able to adapt quickly new technologies.
● Effective communication with client, cross-functional teams to achieve project goals and deliver within timelines agreed
Project: Landing Page (Nokia Internal Project)
May 20 – June 20
Description: This was an internal requirement. Of a same client we have several reports, which was access by different people at client side. So, this was internal requirement generated, so we thought of having different report App links accessible to different people at client side.
Data here was fetched from a excel, kept in a SharePoint site. Which has to be manually updated with the number of increasing projects.
Responsibilities:
● Initial requirement documentation.
● Implementing RLS.
● Testing RLS functionality with dummy data.
● Used bookmarks as per the requirements.
● Performing UAT with management people for best experience.
● UI enhancement as demanded at different stage of development.
● Given live demo of the report.
● Final deliverables as per the given ETA.
● On demand maintaining the report and data.
Environment: Excel, Dashboard, RLS, Bookmarks, UAT, Power Bi desktop and service.
2. Project: Power App Project
Description: As per the use of the Power App, client wanted to automate the data feed manual process in the excel files on SharePoint.
We converted the same excel file into a SPOL and used as a source for Power App.
User needed a form for feeding the data and also, he wanted to look at the live data being generated on the second screen.
Responsibilities:
● Initial requirement documentation.
● Created initial draft to demo.
● Testing functionality with dummy data.
● Created different design of forms to demo.
● Performing UAT with different people at client side.
● UI enhancement as demanded at different stage of development.
● Given live demo of the App.
● Final deliverables as per the given ETA.
● Similarly automated several other SharePoint files for data feed.
Environment: Excel, Dashboard, RLS, Bookmarks, UAT, Power Bi desktop and service.
Project: On ITSM data
Description: This client wanted to get the insights from there ITSM data. They wanted to see the number of tickets totally generated on monthly wise and yearly wise.
Similarly, they wanted to visualize top 10 issue generated region wise and different priorities of tickets generated.
Where P1 is the most critical one which should show up red and has to be sorted in a shorter ETA.
Data source: SQL server. Data coming from multiple servers.
Responsibilities:
● Using of Excel for initial data analysis.
● Since data was huge, used data parameter for loading less data for development.
● Having multiple initial sessions for requirement understanding and data understanding.
● Created a similar dummy data for initial draft of the report.
● Everyday progress development review.
● Using DAX for creating Measures and Calculated columns.
● Communicating with the different team for different issues at different level of development.
● Setting up On Premises gateway.
● Publishing report and scheduling refresh.
● Setting up incremental refresh.
● Even troubleshooting refresh issues.
Environment: MS SQL Server, Excel, Large Dataset, DAX, Power Bi Desktop and Service.
Project: ML Product based data.
Description: Client have a ML product for sales, of which they wanted to get the insights of the data they had in different dimensions. They wanted to look at the data region wise, revenue wise, customer wise etc.
Data Source: PostgreSQL. And the data was huge. Challenge faced was while understanding the data and data transformation.
Responsibilities:
● Understand the data and client requirement completely.
● Make sure to reports are delivered as per the ETA.
● Involved in end to end delivery of the project
● Data transformation and overall dashboard development.
● Using DAX for creating Measures and Calculated columns.
● Created the same report using PostgreSQL dataset and dataflow as well for different use of the customer.
● Doing UI testing and enhancement.
● Doing a sanity check before final delivery.
● Cross functional team communication for data warehouse changes.
● Getting engaged with client and updating to progress daily.
● Publishing the report in service and set up the Schedule Refresh.
● Final delivery of the project.
● Maintaining and updating the report as requested after final delivery.
Environment: PostgreSQL, Dashboard, Dataflow, UI testing, Schedule Refresh, DAX, Power BI.
MS Power Platform: Power BI, Power Apps And Power Automate
undefined