GenPark skill: Automate campaign analysis, GTM simulation, and cross-platform optimization using Nexad.
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Updated
May 7, 2026
GenPark skill: Automate campaign analysis, GTM simulation, and cross-platform optimization using Nexad.
GenPark skill: Automate campaign analysis, GTM simulation, and cross-platform optimization.
AI agents for growth marketing — built from real fintech campaigns. Prompts + Python.
Manage, analyze, and optimize your ad campaigns across 8 platforms through natural language in Claude Code and Claude Desktop. 120 expert skills · 35 slash commands (29 workflow, 6 utility) · 5 specialized agents · 50 MCP tools
AI-powered PPC optimization automation for Google Ads, Meta Ads, and LinkedIn Ads campaigns
Comprehensive performance marketing optimization strategies covering modern paid advertising, ROI maximization, and campaign optimization methodologies. Maximize marketing performance and profitability.
Autonomous Ads Growth Agent Platform — An LLM-powered agent system for advertiser growth automation, built on LangGraph orchestration, PostgreSQL + pgvector memory, and deterministic decision-making workflows. Turns advertiser goals into structured campaign strategies with multi-stage feedback loops, draft-only safety gates, and comprehensive audit
30 SQL queries for Marketers across 4 contexts — segmentation, engagement, campaign reporting, and data hygiene.
Analyzed cross-regional marketing data to optimize telecommunications campaign performance and ROI.
Interactive AI-powered performance marketing simulator that calculates campaign KPIs and generates dynamic optimization recommendations using Python, Streamlit and Google Gemini.
Predicting email ad click-through using interpretable ML and counterfactual simulations to uncover behavioral drivers and optimise targeting strategies.
google meta python leads
Media planning optimizer using CVXPY, modeling real-world advertising constraints and maximizing audience reach under budget.
A reusable Codex Skill for diagnosing programmatic advertising delivery issues across requests, bids, wins, impressions, clicks, conversions, spend, and pacing.
Telecom churn analytics and retention decision engine using Python, SQL, machine learning, SQLite, and Tableau.
Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to optimize the profit from ad
Google Ads + Zen Payments Automation
Ad-level daily triage for VK reports: KPI maturity, 3/5/7 learning pools, actionable optimization guidance, and DOCX briefs.
A falta de traducción a inglés y piloto para Negocio
Successfully developed AdAstra Marketing Intelligence Campaign Optimization Engine, a next-generation AI system using LangGraph that transforms raw campaign data into strategic, revenue-driven decisions. It blends KPI diagnostics, CVXPY optimization, and intelligent budget reallocation to deliver measurable lift in ROAS, efficiency, and growth.
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