Simarpreet Kaur | Applied AI & ML

About

I'm a Computer Science graduate from McMaster University (Honours, May 2026) with a strong focus on applied data science and machine learning, particularly in building models and analyses that translate into real-world impact. My work emphasizes the full data science lifecycle — from data cleaning and exploratory analysis to modeling, evaluation, and clear communication of results.

I bring a detail-oriented and analytical approach, with experience working under real-world constraints such as data quality issues, validation, and model reliability. I value reproducibility, thoughtful evaluation, and practical deployment over purely theoretical results.

In addition to my technical background, I offer 6+ years of customer-facing experience, which has shaped my communication, collaboration, and stakeholder-focused mindset. I'm comfortable explaining complex findings to non-technical audiences, working cross-functionally, and building solutions that are both technically sound and user-centered.

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Experience

Data Science Analyst

Outlier

Oct 2025 – Present

Designed and implemented end-to-end data science workflows in Python, producing gold-standard EDA, feature engineering, and ML modeling solutions for LLM benchmarking.
Executed statistical analysis, cross-validation pipelines, and model performance assessments (F1, ROC-AUC) using Pandas, NumPy, and scikit-learn, ensuring technical accuracy of gold-standard outputs.
Performed error analysis on model outputs to improve numerical accuracy and analytical reliability.

Specialist → Senior Specialist

Best Buy

Oct 2022 – Present

Promoted to Senior Specialist; mentored team members and upheld high performance standards in a high-volume, fast-paced environment.
Applied strong analytical thinking and client-facing communication skills advising customers on complex technical product decisions.

Selected Projects

Pocket AI

Private

Whisper AI • NLP • Speech → JSON

Real-time wake-word detection pipeline that captures voice input with sub-500ms latency, transcribes via Whisper AI, and converts 90% of free-form speech into structured JSON logs capturing task IDs, actions, timestamps, and assignees.

Private client project — architecture and technical details available upon request.

Multilingual News Explorer

SBERT • Semantic Search • NLP • Flask API

Cross-lingual semantic retrieval and summarization app over multi-locale news feeds. Retrieval across 8 languages with 80% text reduction and sub-200ms query responses via a PyTorch-backed Flask inference API with precomputed embeddings.

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Procurement KPI Analysis

SQL • Pandas • Tableau • EDA

End-to-end EDA on a Kaggle procurement dataset using SQL and Pandas to analyze supplier performance and key operational KPIs. Tableau dashboards surface procurement trends and identify cost-saving and efficiency opportunities.

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