Paul T Tshabalala

Developed Python automation, web scraping and API-based solutions to identify advertising prospects and collect business data from more than 5,000 companies. Built scraping systems covering over 1,500 betting companies and more than 15,000 South African Instagram influencers. Created spreadsheet monitoring workflows, validated more than 250,000 email addresses, enriched datasets using social-profile checks and developed marketing data-quality processes. Managed customer data and relationships through Infobip and Sonar CRM, segmented WhatsApp opt-ins and supported campaigns involving more than 45,000 messages. This work contributed to a six-month UK contract invoiced at £25,000 per month.

Designed and developed Python-based data collection and processing automation for global influencer discovery and fundraising. Built Django backends, integrated APIs, managed database schemas and used Django Admin for business data management. Connected Django systems to Shopify through Nginx, created Linux cron jobs for scraping and spreadsheet workflows, and developed automated sports-data monitoring scripts. Built and maintained Selenium and Playwright test suites, supported Shopify storefront design and frontend presentation, and collaborated through Git pull requests and code review. The data and fundraising work supported a campaign that raised over R2 million.

Created and maintained the company website using React. Collaborated with cross-functional teams to troubleshoot and resolve technical issues, contributing to improved customer satisfaction.