A Python-based business data extraction tool designed to collect structured information from Goog...A Python-based business data extraction tool designed to collect structured information from Goog...
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A Python-based business data extraction tool designed to collect structured information from Google Maps search results and organize it into a clean, usable dataset.
BEFORE: Client had messy Excel inventory with 500 rows, duplicates (A12 / a12), blanks, wrong prices like "$ 2.5" and "N/A", and different warehouse names (KER / ker / Kericho).
AFTER: I did:
Removed 12 duplicate SKUs
Standardized item names to Title Case
Fixed QTY and Prices to 2 decimals
Unified Warehouse to Kericho
Made sheet ready for pivot dashboard
Result: Clean, ready-to-use inventory in 2 days using Excel.
Tools: Excel, Remove Duplicates, Text to Columns, TRIM, PROPER
Another late night. Building a quant trading system an agentic model where different AI agents handle research, testing and risk, and none of them is allowed to place a trade on its own.
The hardest part so far? Being honest when the results say "not yet." Most strategies I've tested failed once real costs were included. That's exactly what testing is for.
Keeping The Psychology of Money and The Diary of a CEO close while I figure it out. What are you reading these days?
Curious how youโve separated the agents from execution. When you say none can place a trade on its own, is that enforced through a separate execution service with fixed risk checks, human approval or both? Iโd love to understand where the agent's decision-making ends and the hard rules take over.
I have completed the Microsoft Python Programming Certification program. It covered the basics like syntax, data structures, and solving problems step-by-step. This helped me build a stronger foundation for my data analysis work today.