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Shruthi AlvaleSA
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Shruthi Alvale

@shruthialvale

Data Operations Analyst delivering executive dashboards, validated data workflows, and BI insights.

India
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What I'm looking for

I’m looking for a role where I can build trusted BI dashboards with SQL + Power BI, automate validation and reporting, and partner with teams on clear KPIs. I’d love to apply Generative AI to speed up analytics while improving decision-making.

I’m a Business Intelligence and Data Analytics professional with 2+ years of experience delivering dashboards, reporting solutions, data validation, and process improvements at Tata Consultancy Services.

I translate business requirements into executive-ready dashboards, with strong expertise in SQL, Power BI, Tableau, dimensional modeling, and KPI design—especially when dealing with messy datasets and improving data quality.

At TCS, I worked with large operational datasets and system logs to clean, transform, validate, and analyze data. I built SQL-based workflows to extract, join, aggregate, and reconcile data from multiple internal sources, and automated recurring data checks to improve reliability and reduce manual effort.

I also bring hands-on exposure to Generative AI tools for SQL generation, documentation, reporting narratives, and productivity acceleration. I enjoy root cause analysis, cross-functional collaboration, and building repeatable reporting layers that help teams make better decisions.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science (BITS Pilani) logoBP

Birla Institute of Technology and Science (BITS Pilani)

Master of Technology (M.Tech), Data Science

2024 -

Pursuing an M.Tech in Data Science at BITS Pilani (Hyderabad campus), focused on data science concepts and analytics-oriented learning.

MC

Malla Reddy Engineering College

Bachelor of Technology (B.Tech), Electrical & Electronics Engineering

Grade: 8.18/10

Completed a B.Tech in Electrical and Electronics Engineering, earning a CGPA of 8.18/10.

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