Build a high-quality database of independent clothing boutiques and fashion brands in:
- The Netherlands
- Delhi, India
These boutiques will be evaluated as potential partners for collecting garment and fit-related data that will support the development of Rhyoms platform.
Responsibilities
- Develop scripts or workflows to collect business information from publicly available sources such as:
- Google Maps
- Boutique websites
- Instagram
- Business directories
- Identify independent clothing boutiques and apparel brands.
- Extract, clean, and validate business information.
- Build a structured dataset containing:
- Business name
- City
- Website
- Contact email
- Phone number
- Instagram/social media
- Contact person (if available)
- Clothing category
- Notes on partnership suitability
- Remove duplicate and inaccurate records.
- Document your data collection methodology.
- Prepare a reusable outreach message template.
Deliverables
- Structured spreadsheet/database of candidate boutiques.
Build a structured dataset of real user complaints related to clothing fit, sizing, and product quality, categorized by issue type to support future fit-filtering and machine learning models.
Potential Data Sources
- Trustpilot (Clothing Store category)
- Sitejabber
- Reddit
- Other publicly available review platforms (where permitted)
Responsibilities
- Review each sources robots.txt, Terms of Service, and scraping policies before collecting data.
- Identify relevant clothing brands and retailers to target.
- Develop scraping pipelines to collect:
- Review text
- Rating
- Review date
- Brand/store name
- Clean and preprocess review data.
- Identify and tag reviews containing fit-related issues, including (but n
📌 Machine Learning Engineer (India)
🏢 Rhyom
📍 India
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