Analytical professional with 3+ years across Quality Assurance, CRM Operations, and Business Intelligence, now focused full-time on Data Analytics — using SQL, Python, and Power BI to drive data-driven decisions.
What I bring to a data or business analyst role.
QA, Salesforce CRM development, and BI experience means I understand data quality, system logic, and business reporting end-to-end.
I don't just build charts — I design dashboards that lead a stakeholder to a decision in under 30 seconds.
QA background trained me to ask "why" before "what" — root cause analysis is baked into every project I ship.
Comfortable moving between SQL, Python, Power BI, Tableau, Excel, and Salesforce without a learning-curve lag.
A planned break for family caregiving, used to make a structured transition into Data Analytics.
Three end-to-end analyses — from raw data to interactive dashboards to business recommendations.
End-to-end vendor analytics pipeline on 2.83M+ multi-source inventory, sales, and vendor records (~382 MB) to evaluate vendor profitability and inventory efficiency.
End-to-end NLP sentiment pipeline on 180,388 Flipkart product reviews, using custom polarity thresholds for 3-class sentiment classification to support BI and customer experience analysis.
Analyzed workforce data for 1,470 employees across 35 variables using Python, SQL, and Tableau to identify key attrition drivers and support data-driven HR retention strategies.
Open to Data Analyst, Business Analyst, and EBS Functional Analyst roles — remote or India-based.