Tyler Dial.
Tyler Dial
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AI for Humanity

Deep technical expertise in data science and production-grade software engineering — building AI-powered products that solve real-world problems.

Data ScienceMachine LearningSoftware EngineeringVisualizationStatistical ModelingFull-Stack DevelopmentData ScienceMachine LearningSoftware EngineeringVisualizationStatistical ModelingFull-Stack DevelopmentData ScienceMachine LearningSoftware EngineeringVisualizationStatistical ModelingFull-Stack DevelopmentData ScienceMachine LearningSoftware EngineeringVisualizationStatistical ModelingFull-Stack Development
Selected Work

Projects that
drive results

From AI prototypes to production-grade applications, each project showcases the intersection of rigorous data science and elegant engineering.

Predictive Churn Model
2025
94%
accuracy

Predictive Churn Model

End-to-end ML pipeline predicting customer churn with 94% accuracy. Streamlit dashboard for stakeholder exploration.

PythonXGBoostStreamlit
Real-Time Sentiment Engine
2025
10k/m
throughput

Real-Time Sentiment Engine

Streaming sentiment analysis API processing 10k tweets/min with sub-200ms latency. AWS auto-scaling.

NLPFastAPIRedis
Portfolio Optimization Suite
2025
50k+
simulations

Portfolio Optimization Suite

Interactive mean-variance optimizer with Monte Carlo simulation and efficient frontier visualization.

ScipyPlotlyReact
Geospatial Analytics Platform
2025
50M+
data points

Geospatial Analytics Platform

City-scale mobility analysis processing 50M+ GPS pings with H3 hexagonal spatial indexing.

GeoPandasDuckDBMapbox
About

About
Me

I'm a data scientist and software engineer who believes the best analytical tools are the ones people actually want to use. I combine rigorous statistical thinking with production-grade engineering to build applications that turn complex data into clear, actionable insight.

Toolkit
LanguagesPython · SQL · JavaScript · R
ML / DSscikit-learn · PyTorch · XGBoost
Data EngineeringPandas · DuckDB · Spark · dbt
InfrastructureDocker · AWS · FastAPI · Airflow
FrontendReact · Next.js · D3 · Plotly
CurrentlyML systems design & interactive visualization
Reading

Book Shelf

What I'm reading and what's shaped my thinking. Mostly at the intersection of data, systems, and design.

Currently Reading
Designing Data-Intensive Applications
Martin Kleppmann
72%
The Art of Statistics
David Spiegelhalter
45%
Thinking in Systems
Donella Meadows
20%
Recently Read
Designing Machine Learning SystemsChip Huyen
The Visual Display of Quantitative InformationEdward Tufte
An Elegant PuzzleWill Larson
Naked StatisticsCharles Wheelan
The Pragmatic ProgrammerHunt & Thomas
BuildTony Fadell
Writing

Recent Writing

[01]Engineering

Why I Stopped Using Notebooks for Production ML

Jan 2025
[02]Tutorial

A Visual Guide to Bayesian Optimization

Dec 2024
[03]Deep Dive

Building Real-Time Dashboards with DuckDB + WASM

Nov 2024
Contact

Let's
connect.

Open to collaborations, interesting problems, and good conversation.

Connect on LinkedIn