Archita Saha
Aspiring Data Scientist (Certified) || Proficient in MySQL, Python, Power BI, and Machine Learning || Data Visualization Enthusiast || Business Data Analyst || Technical & Academic Research & Writing
- Role
- Ml Data Associate Ii at Amazon
- Location
- Kolkata, WB, IN
- LinkedIn followers
- 500 followers
About Archita Saha
I enjoy turning messy, complex data into clear insights that help teams make better…
Experience
Ml Data Associate Ii
Nov 2024 — Present · Bengaluru, IN
Annotated and evaluated text and code data for foundational ML models across output evaluation, prompt QC (RAG and non-RAG), and user/agent simulations, achieving 100% productivity and 95.45% reliability.• Evaluated and debugged QAL workflows from Process Definition Documents (PDDs), analyzing correctness, coverage, and hallucinations, and authored structured test cases to validate workflows as ground truth, maintaining 106%productivity with 100% quality scores.• Worked on Amazon QuickSight/Quick Suite to generate, execute, and evaluate automated QAL workflows from PDDs, ensuring workflow correctness, scalability, and execution reliability across ML pipelines.• Identified and escalated 14+ critical platform and workflow issues, restoring functionality across 30+ workflows and achieving an 85% end-to-end PDD recovery rate.• Conducted conversational AI workflow evaluations across 90+ interactions, identifying critical bugs and limitations to support data-driven model improvements.• Designed and implemented a multi-phase onboarding framework for QAL evaluation, reducing training time by 40% and mentoring associates who achieved 100% productivity and 90%+ quality scores.• Led workflow refinement initiatives for large PDD documents, achieving size reductions of up to 98% and integrating 17+ workflows into active delivery cycles.• Collaborated with cross-functional teams (QA, ML engineers, operations) to refine evaluation frameworks and automation standards.• Selected for Support Engineer conversion based on strong technical performance, coding capability, and workflow expertise.• Developed a Python automation tool, Quip Chat Summary Extractor, leveraging Quip API, data cleaning, and automated computation to extract weekly metrics, reducing manual reporting time from 30 minutes to under 1 minute.• Awarded the Prime Player Award (4x) for exceptional productivity and reliability, ranking among the top 5% performers at Amazon.
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