Data Analytics • Visualization

Hi, I'm Noah

I transform raw, messy data into trusted pipelines, actionable analytics, and story-driven visuals that drive decisions.

Hire Me Selected Work

4+ years

Applied experience

End-to-end

Project delivery

Data-driven

Insight-focused work

Flexible

Engagement models

What I Do

Data Wrangling

Reliable pipelines, data quality checks, and scalable transformations that power analytics teams.

Analytics

Reproducible analysis, experimentation, and predictive modeling to move KPIs forward.

Visualization

Dashboards, storytelling, and executive-ready visuals that make complex data feel simple.

I clean your data

Real data arrives in chaos — missing IDs, ages spelled out in words, impossible weights, inconsistent codings. I audit every column, flag each anomaly, and repair or document every issue so your downstream analysis stands on solid ground.

raw — before

id	gender	age	weight
NA	"female"	"twenty-two"	NA
34	"M"	34	78.2
999	"male"	-7	NA
29	"female"	29	65.1
NA	"male"	41	9999
51	"female"	51	72.4
-1	"FEMALE"	NA	61.8
38	"male"	38	NA

analysis-ready — after

id	sex	age	weight
42	F	22	68.4	imputed
34	M	34	78.2
—	—	—	—	dropped · outlier
29	F	29	65.1
42	M	41	—	dropped · outlier
51	F	51	72.4
—	F	46	61.8	imputed
38	M	38	68.4	imputed

I build reproducible pipelines

Brittle scripts that only run on one person's laptop are a liability. I design modular, version-controlled workflows — schema validation on ingest, pure functions, locked dependencies — so any teammate can reproduce your results from a cold start.

brittle scripts — before

01_load.R Error in read.csv

setwd("C:/Users/dan/Desktop") · no one else can run this

cleaning FINAL.R object not found

depends on df_raw from a different session · never saved

model_v4_USE THIS.R package missing

library() calls buried mid-script · order matters

make_plots.R never reached

upstream failure · output files missing

reproducible pipeline — after

R/01_ingest.R ✓

here::here() paths · schema validated on load

R/02_clean.R ✓

pure functions · testthat coverage · logged

R/03_model.R ✓

set.seed() · renv.lock · targets DAG

R/04_visualize.R ✓

ggsave() · deterministic · quarto report

I create publication-ready visualizations

Default chart themes export visual noise that buries your story. I strip away clutter, apply purposeful color, and use direct labels so readers see your finding immediately — no legend hunting required.

ggplot2 defaults

theme_custom()

and so much more.

Selected Work

Quick Plot

Data Analysis Dashboard

Built an Interactive and accessible Shiny application for analyzing, wrangling, and visualizing data. (opens in a new tab)

Wildfire Risk

Visualizer for Wildfire Risk

Created an interactive page for assessing wildfire risk in the WUI, suppression costs, structural damage, and fatalities. (opens in a new tab)

TIGER Roads

National Road Database

Processed TIGER roads and made them publically available via Google Earth Engine (GEE). (opens in a new tab)

Skills & Tools

RStudio
Quarto
PyCharm
Google Earth
Google Earth Engine (GEE)
Google Colab
ArcGIS
ESRI
Mapbox
MapLibre
OSM
GitHub
Leaflet
Overleaf
GeoPandas
Tidyverse
NumPy
Jupyter
R
Python
JavaScript
Markdown
LaTeX
Git
Bash
GDAL
HTML
CSS
Geoprocessing
Data wrangling
Data visualization
Storytelling
Spatial analysis
Analytical thinking
Hypothesis framing
Experiment design
Critical reasoning
Data ethics
Regression
ANOVA
MANOVA
t-tests
Chi-square
Correlation
Covariance
Sampling
Bootstrapping
Time series
Forecasting
GLM
GAM
Mixed models
Probability modeling
Maximum likelihood
Outlier detection
Factor analysis
PCA
Clustering
Variance analysis
Trend analysis
Statistical inference
Model validation

Why Hire Me

Decision-Ready Narratives

I don't just crunch numbers—I turn your data into clear, actionable narratives that drive decisions.

Autonomy & Reliability

I communicate clearly and solve complex data problems independently.

Ready to elevate your data story?

Let's discuss how I can help you build cleaner pipelines and sharper insights.

Hire Me