I'm Mylie. I combine data, code, and product thinking to ship things people actually use.
Things I've built that actually shipped. No abandoned repos here.
AI Speaking Coach
Get a topic, record yourself for three minutes, and an AI coach scores your structure, depth, and clarity — then quotes exactly what you said and tells you what to fix. One private session a day builds the habit. No community, no leaderboard.
Demo this project →AI-Powered Market Intelligence System · Externship
Built 3 AI-powered agents using n8n and Gemini to automate trend discovery, competitor monitoring, and content ideation workflows for real-time market intelligence.
AI Outreach · Personalized Cold Emails
An AI tool that turns a LinkedIn profile and a job description into a personalized cold email in seconds — it acquired 100+ users in 48 hours organically on its viral day.
People Analytics · NLP & Sentiment Analysis
Analyzed 1,000+ employee reviews using NLP and sentiment analysis to surface key drivers of workforce satisfaction and turnover, translated into prioritized business recommendations.
Product · Case Study · Prototype
A "Spotify Wrapped" for Kindle — a 10-slide, swipeable annual reading recap that turns the data Kindle already logs into a shareable story: your reading personality, habits, genres, and highlight moments.
End-to-End Customer Analytics Framework
Comprehensive analytics framework analyzing customer lifecycle with advanced techniques including RFM segmentation, churn prediction, CLV modeling, market basket analysis, and uplift modeling for marketing optimization.
Quantitative Finance & Modern Portfolio Theory
Applied Modern Portfolio Theory to real financial data, optimizing the risk-return tradeoff across multiple sectors using advanced quantitative finance principles.
Binary Classification Case Study
Production-oriented ML pipeline predicting ad click-through rates with EDA, feature engineering, multi-model benchmarking, SHAP interpretability, and calibration-aware threshold optimization for revenue maximization.
Multimodal E-Commerce Search Engine
Built search system processing 10M+ products, combining text (TF-IDF) and image embeddings (CLIP) for hybrid retrieval.
Financial Modeling
Predicted equity market volatility using 10+ years of Bloomberg Terminal data (CESI, VIX, SPX indicators).
Side projects in progress. Always exploring new ideas and learning.
From any recipe link to a ready-to-order cart in seconds
Real-time intelligence on what matters
Know what works before you publish.
Job applications that don't make you want to cry
I write about data science, building products, and occasionally rant about things that annoy me.
Professional certifications in data science, ML, and cloud technologies.
Amazon Web Services
Microsoft
I'm Mylie! A product enthusiast with a data scientist's brain, who cares more about whether something solves a real problem than whether it ships with the trendiest tech. (Though I do still love a good new framework.)
I think in users, outcomes, and the "why" behind the build and not just the how. That instinct started with noticing patterns: in the way people make day to day decisions. Data science felt like getting paid to solve those puzzles, especially the ones involving recommendation systems, personalization, and human behavior.
I just wrapped up my Masters in Data Science, and my curiosity lives at the intersection of AI and domains like media, ad tech, travel, e-comm, fintech, and healthtech ; industries where data-backed products can actually move the needle. The best AI, I think, is the kind you don't even notice; it just makes things work better.
My ultimate goal is to build my own startup, but before that, I want to explore and work across different industries to find the real gap worth solving. (Though that doesn't stop me from cooking up a new startup idea every 1km of my run.)
hi 👋
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