Faraday

Data Analyst

TELUS International • Part time

Jan 2026 - Present • 6 mos

- Spearheaded high-quality data annotation and Reinforcement Learning from Human Feedback (RLHF) for Large Language Models (LLMs), focusing on reasoning, factual accuracy, and safety. - Functioned as a PRP (Prompt-Response-Prompt) Writer Analyst, creating "Golden Standard" responses for model training to enhance conversational AI capabilities. - Conducted Math and AI Evaluation, verifying the logical consistency and correctness of complex technical outputs in STEM-focused training modules. - Executed AI Content Labelling and Data Annotation across diverse datasets, identifying and mitigating model hallucinations through rigorous quality control and domain-specific feedback.

Data Annotator

Uber • Part time

Mar 2026 - May 2026 • 2 mos

- Executed precision labelling for computer vision and perception models, including 3D LiDAR point cloud processing and semantic segmentation for autonomous vehicle training datasets. - Evaluated search result relevance and ranking algorithms for Uber’s marketplace to optimize the efficiency of user-facing dispatch and recommendation systems. - Annotated and categorized high-volume multilingual datasets for intent tagging and sentiment analysis, supporting the development of robust NLP models for automated customer service. - Identified and documented systematic labelling discrepancies, collaborating with internal teams to refine annotation guidelines and boost overall model mean Average Precision (mAP).

Summer Analyst

KPMG • Full time

Jun 2023 - Sep 2023 • 3 mos

● Worked with a team of 15 to help clients evaluate internal audit functions and provide cosourcing services. ● Successfully analyzed large client datasets using Microsoft Excel & Power BI to identify exceptions and non-compliance issues. ● Developed expertise in internal audit procedures, bank processes, and applicable laws and regulations to flag risks for clients.