Shivakumar Huggi

I’m a detail-oriented Data Analyst with 2+ year of professional experience, combining a strong foundation in SQL, Power BI, Excel, and Python with my background in QA Engineering and Scrum facilitation. I turn complex data into stakeholder-ready visualizations, backed by rigorous data validation and clear, decision-focused storytelling.

I specialize in advanced SQL querying using CTEs, window functions (ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG, FIRST_VALUE), joins, and subqueries to extract business insights from large datasets. I also build interactive Power BI dashboards with DAX, drill-through, and slicers—so leaders can monitor KPIs and trends quickly and confidently.

In my projects, I’ve delivered end-to-end analytical pipelines that merge multiple data sources, resolve real-world data engineering challenges, and produce exec-ready insights. For example, I built an India investment analytics study using Python and PostgreSQL to quantify currency amplification and present it through a 4-page Power BI dashboard.

Professionally, I’ve validated data accuracy across systems, performed root cause analysis on high volumes of defects, and ensured data integrity across databases and reporting layers. I’m highly collaborative—partnering with developers, product owners, and stakeholders to define measurable validation checkpoints and continuously improve data quality, processes, and sprint outcomes.