Available to hire
I am a Senior Digital Marketing professional with 5+ years of experience optimizing acquisition funnels, scaling paid campaigns, and boosting engagement across healthcare and e-commerce. I thrive on turning data-driven insights into growth strategies that improve conversions, retention, and ROI.
My toolkit spans SEO, SEM, PPC, audience segmentation, and marketing analytics. I routinely work with SQL, Python, and BI tools to model impact, run A/B tests, and personalize experiences while staying compliant with HIPAA and GDPR.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Fluent
Work Experience
Digital Marketing Analyst at Johnson & Johnson
January 1, 2025 - PresentDesigned lifecycle marketing campaigns for chronic care and wellness programs, leveraging behavioral triggers and lead-scoring models, boosting consultation-ready leads by 28% within two quarters by segmenting patients across propensity tiers and tailoring messaging. Analyzed patient engagement and journey behavior using GA4, Mixpanel, Adobe Analytics, and SQL, identifying high drop-off form segments and reducing early funnel exits by 20% through targeted content and personalized nudges. Managed paid media campaigns across Google Ads, Meta, LinkedIn Ads, and healthcare inventory networks; reallocated $180k quarterly toward high-intent keywords, improving patient acquisition efficiency by 24% over three quarters. Built predictive revenue and retention models in Python, Excel, and BigQuery, increasing retention-driven conversions by 1.8X through targeted re-engagement campaigns for high-risk patient segments. Conducted A/B and multivariate tests on landing pages, CTAs, and form placement
Senior Marketing Data Analyst at LTIMindtree
October 1, 2019 - July 1, 2023Improved customer segmentation for e-commerce campaigns by expanding from 5 to 20 actionable audience cohorts, increasing personalized email engagement by 28% and boosting cross-sell conversions through SQL, Python, and GA insights. Performed multi-variant A/B tests on homepage banners, CTA placements, and promotional layouts, increasing high-intent session duration from 2.1 min → 3.6 min and raising trial/demo signups from 10k → 16.5k per quarter. Built predictive churn models using Python (RandomForest/XGBoost) and BigQuery pipelines, triggering 90k targeted retention campaigns, resulting in 16k reactivations over two quarters and stabilizing subscription revenue. Optimized paid media budget allocation using multi-touch attribution and MMM analysis; reallocated $122k annually from low-performing channels to high-ROI campaigns, improving acquisition efficiency by 21%. Programmed automated Power BI dashboards integrating marketing spend, conversion, and product performance data, re
Education
Master of Science in Data Analytics at Saint Louis University
January 11, 2030 - April 15, 2026Qualifications
Industry Experience
Healthcare, Retail, Life Sciences, Professional Services, Media & Entertainment
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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