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GTM Strategy x AI Automations
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Bright Data - The web's data
Data Scientist
June 21, 2026 – Present
time-capsule-legal
June 20, 2026 – Present
Time Capsule privacy policy and account deletion pages
View Projectbright-data-price-tracker
June 10, 2026 – Present
Track a product's price across every merchant with Bright Data, DuckDB, and Streamlit
View Projectgeocode-mcp
June 2, 2026 – Present
Geocoding MCP Server - forward & reverse geocoding, place search, distance between locations via OpenStreetMap Nominatim. No API key, zero-config npx, for Claude & any MCP client.
View Projectunslop
March 17, 2026 – Present
AI Slop Detector & Cleaner, Paste text, get a Slop Score, see every AI-ism highlighted. Free & open-source.
View Projectgrounding-citation-analysis
February 28, 2026 – Present
Sentence-level analysis of 42,971 AI citations across Google AI Mode, Gemini, ChatGPT, Perplexity, Copilot & Grok. Decodes #:~:text= URL fragments to reveal exactly what Google quotes.
View Projectgeo-aeo-tracker
February 14, 2026 – Present
Open-source, local-first AI visibility intelligence dashboard. Track your brand across 6 AI models.
View Projectmake-mcp
February 6, 2026 – Present
Unofficial MCP server for Make.com build, validate & deploy automation scenarios with AI. 200+ modules, auto-healing blueprints, router support. Community project, not affiliated with Make.com.
View Projectcompetitor-intel-toolkit
November 1, 2025 – November 1, 2025
Automate competitor research with live scraping and AI. Get pricing, features, messaging, and battle cards in minutes. No manual tracking needed.
View Projectyahoo-finance-mcp
October 24, 2025 – Present
Beginner-friendly Yahoo Finance MCP server for Claude. Get real-time stock data, charts, financials, analyst ratings, and compare multiple companies.
View Projectamazon-data-analysis
August 18, 2025 – August 18, 2025
Amazon product data analysis with Python & Jupyter. Includes cleaning, stats, and visualizations of categories, prices, ratings, and availability.
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily skewed towards personal, open-source projects, demonstrating strong initiative and a passion for technology, particularly in the AI and data domains. This aligns well with a culture that values innovation and self-driven learning. However, the lack of diverse team-based or corporate project experience might indicate a need for adaptation to structured team environments and established development processes. The target role of 'Data Scientist' aligns with the technical skills demonstrated, but the breadth of experience outside of personal projects is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and independent approach to problem-solving, often tackling complex data and AI challenges. The focus on open-source projects suggests a collaborative mindset, though direct team collaboration experience is not explicitly detailed. The nature of the projects implies strong analytical thinking and attention to detail.