Data Systems
Ten documents, eighty-seven pages, one shared template. Three case studies in how raw operational data becomes decision-ready output: a Nigerian marketplace, a distributor, and a retail bank. The documentation discipline is what is being demonstrated: findings framed for executives, models explained for engineers, and runbooks written for the moment the analyst is not in the room.
PostgreSQL 18·Python·Node.js·Matplotlib
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Data Pipeline
A vetting workflow that ran for two days unattended and returned 20,509 X profiles with verification status, follower counts, and region data filled in. Python, Playwright, openpyxl. Replaced a job that would have taken a small team weeks.
Python·Playwright·openpyxl·Automation Research
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AI Retrieval System
An n8n workflow that pulls the right context from a source library before answering, so an assistant responds from actual reading instead of guessing. Built so a domain expert can maintain it without touching code.
n8n·RAG·LLM·Knowledge Workflows
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Automation System
An n8n workflow that tracked price changes, calculated the deltas, and sent a clean report on schedule. Replaced manual weekly checking with one repeatable reporting flow.
n8n·Webhooks·API Integration·Scheduled Workflows
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Monitoring Pipeline
A monitoring pipeline that watched selected X accounts and pushed the important updates into Telegram. Moved signal tracking from scattered feeds into one fast channel.
Python·Automation·Data Processing·Telegram
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Lead Intelligence
A lead handling flow that sorted inbound contacts into clearer follow-up paths and reduced messy manual handling. Turned lead capture into a working system instead of a spreadsheet chore.
Zapier·Python·TensorFlow·Data Science
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Machine Learning
A neural network that grouped houses into price bands from their feature data. Built to turn raw property listings into screening signals. The model and its trade-offs are written up alongside.
Python·TensorFlow·Machine Learning·Neural Networks
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