Work Experience
I've got about 1.5 years of hands-on experience across data engineering, analytics, and machine learning.
Click on any role to see what I actually worked on.
- Built the team's first automated Snowflake reporting system to compute and track KPIs, eliminating manual analysis and reducing report preparation time by 95% and giving stakeholders self-service access to insights on demand.
- Developed a two-stage SQL data quality framework that automatically flagged abnormalities in social media KPIs, improving reliability across 10+ Tableau dashboards and reducing false alerts by 80%.
- Identified high-value customer-channel segments across $35.6B in client asset inflows through impact-per-impression analysis using Power BI and DAX, translating insights into four strategies for customer acquisition.
- Defined 5 core customer engagement KPIs with cross-functional analytics teams across agile sprints, establishing a standardized measurement framework adopted for executive reporting.
- Formulated and initiated a hypothesis-driven analytical workflow to study customer escalation paths, examining past social issue incidents and prior cross-channel activity to identify potential early-warning signals.
- Analyzed 270K+ social media interactions by content type, platform and timing using SQL window functions, uncovering platform-specific behavioral patterns tied to 13% higher user engagement.
- Performed social listening on brand and product sentiment, surfacing a spike in negative reaction to a flagship product launch and flagging the product-perception risk to product and marketing teams.
- Defined core engagement metrics across a multi-channel ecosystem, translating community interaction data into actionable insights to terminate underperforming assets and maximize content reach.
- Evaluated an A/B test across 140K unique users using SQL and Python statistical testing, identifying a 9% cost per acquisition reduction that prompted leadership to scale the winning variant.
- Audited weekly spend and conversion data across 20 paid channels using advance Excel, resolving discrepancies before attribution skew distorted downstream reporting.