Vasu Dua
@vasudua
I turn telecom network data into dashboards and automated reporting to improve operations and decision-making.
What I'm looking for
I’m a Custom Software Engineering Analyst with 3+ years of coding data analytics, management & governance in Telecom Networks. I build Tableau dashboards and reporting that make network performance, operational trends, and service analytics easy to understand for telecom operators.
At Accenture, I’ve developed and deployed 10+ Tableau dashboards (L0–L3, FLA) to enhance telecom performance visibility. I automate weekly reporting workflows using Python and SQL, reducing manual efforts by 40%, and I integrate real-time and historical telecom data to support predictive maintenance strategies.
I also focus on practical, field-ready workflows through real-time testing and monitoring. Using TEMS Cloud for vendor testing, I support issue resolution and customize work orders via Work Order Designer and Magenta Analytics to streamline test flows.
Beyond day-to-day work, I deliver hands-on dashboard automation through internal projects like “Internal Automation” and “FCC Benchmarking.” I use Power BI and ServiceNow to monitor cluster health, analyze and visualize data, and collaborate cross-functionally to tailor dashboards to business and technical needs.
Experience
Work history, roles, and key accomplishments
Developed and deployed 10+ Tableau dashboards (L0–L3, FLA) to improve telecom performance visibility. Automated weekly reporting with Python and SQL and integrated real-time and historical telecom data to support predictive maintenance strategies.
Supported real-time testing for T-Mobile vendors using TEMS Cloud to improve issue resolution efficiency. Customized work orders using Work Order Designer and Magenta Analytics, and used Power BI with ServiceNow for visualization and operational health monitoring.
Education
Degrees, certifications, and relevant coursework
Manav Rachna University
Bachelor of Technology, Computer Science
2018 - 2022
Grade: 78%
Bachelor of Technology in Computer Science (2018–2022) at Manav Rachna University, scoring 78%.
Tagore Public School
Class XII, Higher Secondary
2017 - 2018
Grade: 68.8%
Completed Class XII at Tagore Public School (2017–2018) with a score of 68.8%.
Tagore Public School
Class X, Secondary
2015 - 2016
Grade: 83.6%
Completed Class X at Tagore Public School (2015–2016) with a score of 83.6%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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