Keerthana Kalva

I am a data-driven and insight-focused Data & Analytics professional with 2+ years of industry experience and a Master’s degree in Data Analytics Engineering from George Mason University. I specialize in transforming raw, complex data into clear insights, reliable data pipelines, and executive-ready dashboards that support data-driven decision-making. My experience spans Data Analysis, Business Intelligence, and Data Engineering, allowing me to work end-to-end — from data ingestion and ETL pipelines to SQL-based analysis, KPI reporting, and stakeholder storytelling. What I bring to the table: • Advanced SQL and Python for data analysis, automation, and feature engineering • Building and optimizing ETL workflows across AWS and Azure environments • Designing Tableau and Power BI dashboards for operational and executive reporting • Strong data quality validation, performance tuning, and reconciliation practices • Experience working in Agile/Scrum teams with cross-functional stakeholders I have worked on impactful projects including AI project risk & cost analysis using the MAS framework and NLP-based emotion detection using BERT, strengthening my ability to combine analytics, engineering, and business context. I am actively seeking Data Analyst, Data Engineer, or Business Intelligence roles where I can contribute immediately, grow technically, and deliver measurable business value. 📩 Open to full-time opportunities | Onsite / Hybrid / Remote