Full-Stack Data Engineer | Python & Streamlit Specialist
I help businesses and researchers turn data concepts into fully functional software. My approach combines rigorous data science with modern web frameworks like Streamlit to create user-friendly interfaces for complex backend logic. I am committed to clear communication, meeting deadlines, and providing solutions that are not just functional, but optimized for growth and performance.
WHAT I OFFER:
Development of custom recommendation engines and predictive models.
Database design and management using SQL and BigQuery.
Integration of AI-driven features into existing workflows.
High-quality technical documentation and clean, modular code
Work Terms
PAYMENTS: Milestone-based (e.g., 20/40/30/10 split) using Guru’s Safepay to ensure security for both parties.
COMMUNICATION: 12–24 hour response time; weekly progress reports; all correspondence stays on-platform.
REVISIONS: Includes two rounds of minor revisions; new features outside the original plan require a scope adjustment.
HAND-OFF: Full IP transfer and source code delivery (via GitHub or Zip) once the final payment is released.
SUPPORT: 14-day bug-fix guarantee following project completion.