Marketing automation, data-driven campaigns, and AI-powered marketing operations.
Marketing Technology & Operations professional with 5+ years of experience building and optimizing marketing systems across healthcare and enterprise environments. I specialize in Salesforce Marketing Cloud (SFMC), Sitecore, and marketing automation platforms — designing the technical infrastructure that powers personalized, data-driven campaigns at scale.
My focus is on the intersection of marketing operations and artificial intelligence: using AI to automate content optimization, predict campaign performance, and streamline complex marketing workflows. I bring a technical foundation in Python, SQL and API integrations, paired with a deep understanding of the marketing funnel from acquisition through retention.
| Marketing Operations | Technical Skills | AI & Automation |
|---|---|---|
| Campaign lifecycle management | Python (pandas, scikit-learn, Plotly) | AI-powered content optimization |
| Email deliverability & list hygiene | SQL (SFMC queries, segmentation) | Predictive lead scoring (ML) |
| Marketing funnel optimization | React & Node.js dashboards | Multi-touch attribution modeling |
| A/B testing & experimentation | Flask API development | Automated workflow design |
| KPI reporting & attribution | REST API integrations | ML-based audience segmentation |
| SFMC & Sitecore administration | Git & CI/CD pipelines | Customer data unification & ETL |
| Project | Description | Tech Stack |
|---|---|---|
| LeadScore AI | ML-powered lead scoring model that analyzes behavioral and demographic signals to prioritize leads for sales handoff | Python, XGBoost, SHAP, Plotly |
| Attribution Engine | Multi-touch attribution modeling tool that calculates channel ROI across first-touch, last-touch, linear, and data-driven (Markov) models | Python, pandas, networkx, Plotly |
| SendPulse Analytics | AI-powered email campaign analysis tool — generates recommendations for subject lines, send times, and list segmentation | Python, Plotly, AI Integration |
| Project | Description | Tech Stack |
|---|---|---|
| CampaignFlow: Workflow Builder | Visual drag-and-drop workflow builder for designing marketing automation journeys (welcome series, re-engagement, cart abandonment) | React, React Flow, Zustand |
| PersonalizeKit: Dynamic Content API | Flask API that serves personalized content variants based on user segments, with A/B test tracking and statistical reporting | Python, Flask, scipy |
| Project | Description | Tech Stack |
|---|---|---|
| AI Content Optimizer | AI application that analyzes marketing copy and suggests improvements for conversion, readability, and SEO | Python, Flask, AI Integration |
| CDP Lite: Customer Data Unifier | Python ETL pipeline that ingests customer data from multiple sources, deduplicates records, and creates unified customer profiles | Python, pandas, SQLite |
| ContentPulse: Content Audit Engine | Python-based web scraper + analytics dashboard for auditing marketing content performance, SEO health, and content freshness | Python, BeautifulSoup, HTML/CSS |
| Project | Description | Tech Stack |
|---|---|---|
| SQL for Marketers: Query Library | 30+ documented SQL queries for SFMC and marketing databases — segmentation, engagement scoring, campaign reporting, data hygiene | SQL, SFMC |
| CampaignView: Performance Dashboard | React + Node.js dashboard for visualizing campaign KPIs, email metrics, and marketing funnel performance | React, Node.js, Chart.js |
ML-powered lead scoring model that prioritizes leads for sales handoff using behavioral and demographic signals.
Multi-touch attribution modeling tool that calculates channel ROI across multiple attribution models.
AI-powered email campaign analysis tool with recommendations for subject lines, send times, and list segmentation.
Visual drag-and-drop workflow builder for designing marketing automation journeys.
Flask API serving personalized content variants based on user segments with A/B test tracking.
AI application that analyzes marketing copy and suggests improvements for conversion, readability, and SEO.
Python ETL pipeline that ingests customer data from multiple sources and creates unified customer profiles.
Automated content audit tool for marketing content performance, SEO health, and content freshness.
30+ documented SQL queries for SFMC and marketing databases covering segmentation, scoring, reporting, and hygiene.
React + Node.js dashboard for visualizing campaign KPIs, email metrics, and marketing funnel performance.
- Salesforce Marketing Cloud Email Specialist (in progress)
- Google Analytics 4 Certification (on roadmap)
- HubSpot Marketing Software Certification (in progress)
- AI for Marketing — ongoing coursework and applied projects
Marketing Platforms: Salesforce Marketing Cloud (SFMC) · Sitecore · HubSpot
Languages: Python · SQL · JavaScript · HTML/CSS
Frameworks: React · Node.js · Flask
Data & Analytics: pandas · scikit-learn · XGBoost · Plotly · Google Analytics 4
AI & Automation: OpenAI API · Claude API · prompt engineering · workflow automation
Tools: Git · GitHub Pages · VS Code · Postman
- LinkedIn: linkedin.com/in/christopherkokoski
- GitHub: github.com/Ckokoski
This portfolio demonstrates applied marketing technology and operations skills. All projects use synthetic/sample data — no real customer or patient data is included.