Avula Sonu

I specialize in Data Analytics with a strong technical background in computing structures. I handle data processing frameworks, identify structural anomalies, and engineer dynamic tracking workflows that turn dense relational datasets into clear business insights and management reporting.

In my current role as a Data Science Student at Besant Technologies, I’m developing a programmatic data lifecycle architecture using native Python and Pandas to ingest datasets and automatically clean missing entries or anomalies. I also build multi-regional relational data schemas and star-schema models inside Power BI to present business metrics and descriptive statistics accurately.

I’ve strengthened my workflow through end-to-end projects in Python and Power BI, including a comprehensive data lifecycle pipeline (extraction, feature profiling, and final dashboard reporting) and an interactive movie revenue census analysis dashboard with integrated relational modeling and advanced statistics. I’m especially energized by converting messy retail or census data into trustworthy dashboards—like the Real Mart Sales Dashboard in Excel—through cleaning, standardization, and validation-focused analysis.