Pitchana Chaikaew

[Business Card OCR & Lead Automation] Designed system architecture and developed a full-stack web application that automates business card digitization using Mistral OCR API and LLM (OpenRouter), converting card images into structured customer records and triggering email follow-ups via N8N workflow, reducing manual data entry by ~80%. [Product Catalog & Quotation System] Analyzed business requirements, designed database schema, and built a full-stack web application enabling sales teams to browse products and generate quotations in a single workflow, reducing quotation turnaround time by ~70%. [Call Center Log Audit System] Designed and developed an automated web-based audit system to verify call center agent logging compliance, significantly reducing manual QA time and improving operational accountability.

AI & Power Platform Developer — AI/Data Projects - Always Pioneering Innovation Co., Ltd. (Subsidiary of Saha Pathanapibul Public Company Limited)

(2026-02)

• [Business Card OCR & Lead Automation] Designed system architecture and developed a full-stack web application that automates business card digitization using Mistral OCR API and LLM (OpenRouter), converting card images into structured customer records and triggering email follow-ups via N8N workflow, reducing manual data entry by ~80%.
• [Product Catalog & Quotation System] Analyzed business requirements, designed database schema, and built a full-stack web application enabling sales teams to browse products and generate quotations in a single workflow, reducing quotation turnaround time by ~70%.
• [Call Center Log Audit System] Designed and developed an automated web-based audit system to verify call center agent logging compliance, significantly reducing manual QA time and improving operational accountability.
• [Internal RAG Knowledge Bot] Architected and deployed a RAG-based chatbot integrated with Basecamp API, continuously syncing cross-department updates into a vector database, enabling staff to instantly query or summarize project status in real time, reducing information retrieval time across teams.

Data Scientist Intern - Bluebik Group PLC.

(2025-06 - 2025-10)

• Built an end-to-end ML pipeline to predict 6-month product churn across 300+ SKUs using RandomForest with oversampling, scaling, and hyperparameter tuning, achieving Precision 0.72, Recall 0.84, F1-score 0.82
• Queried raw sales data via Hive LLAP, processed it with PySpark on Cloudera, and automated monthly model execution using Papermill for production-ready delivery

B.S. - Computer Science - Kasetsart University (2022-06 - 2025-11)