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CASE STUDY
Intelligent Data Operations
Technical Product Lead // Interactive Tracking Systems
PROJECT_ID: ITSYEAR: 2024
CONTEXT
The company's data collection was manual and expensive. Automated pipelines and improved data availability for decision-making.
TECH STACK
PythonFlaskSQLPower AutomateVBAWeb ScrapingAPI Integration
STATS
Strategy60%
Tech95%
Product70%
Leadership40%
01. What I Built
Developed a Python-based web scraping tool and integrated WhatsApp API pipelines for customer communication. Built internal SQL tooling using Flask.
02. How It Works
Automated Excel reporting with VBA benchmarks and connected marketing flows via Power Automate. By removing manual entry, shifted the focus to analytics.
The Outcome
Reduced manual data collection time by 30% and reporting hours by 50%. Marketing automation engaged 200+ customers, boosting engagement by 40%.