PRIVACY POLICY

1. Overview & Scope

Welcome to DataScienceTutor.cloud ("the Service", "we", "us", or "our"). We respect your privacy and are committed to protecting the personal data of our engineering learners. This Privacy Policy details how we collect, store, utilize, and protect your information when you interact with our 7-step PyTorch training lifecycle, AI code validator, and educational workspaces.

2. Data We Collect

• Account & Profile Information: When you sign in via Supabase OAuth (Google or GitHub), we store your email address, display name, and avatar URL to maintain your XP progress, streak counters, and project roadmap.
• Code Submissions & Workspace History: Python and PyTorch scripts submitted for validation are processed via DeepInfra Qwen 2.5 Coder to provide instantaneous debugging diagnostics. We store your step progression and validation metrics to enable workspace resume capabilities.
• Analytics & Usage Data: We utilize Google Analytics 4 (GA4) and Google Ads Conversion Tracking to monitor performance, aggregate pageviews, error diagnostics, and feature usage. These tools employ anonymized identifiers and cookies.

3. Cookie Policy & Advertising

We use essential cookies for session authentication via Supabase JWTs, and performance cookies via Google Analytics 4 and Google Ads to measure conversion funnels. You can manage or disable cookie tracking through your browser settings at any time without impacting core terminal features.

4. Third-Party Service Providers

We work with trusted enterprise cloud infrastructure providers:

5. User Rights & Data Deletion

You have the right to access, export, or permanently delete your account data and project history at any time. To request account deletion or data erasure, reach out via our contact channels.