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.
- Developed a two-stage SQL data quality framework that automatically flagged abnormal shifts in social media KPIs, improving reliability across 10+ Tableau dashboards and reducing false alerts by 80%.
- Built the first automated Snowflake analytics product to compute & report KPIs, enabling stakeholders to monitor topic-growth and gather insights instantly, eliminating any manual analysis.
- Identified high-value customer-channel segments across $35.6B in client asset inflows through impact-per-impression analysis, delivering 4 acquisition strategies for messaging and customer growth.
- 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.
- Audited weekly Multi-Touch Attribution spend and conversion data across 20 paid channels, resolving discrepancies before attribution skew distorted downstream reporting.
- Evaluated an A/B test across 140K impressions using SQL and Python statistical testing, identifying a 9% cost per acquisition reduction that prompted leadership to scale the winning variant.