Talks | Emily Riederer

I enjoy sharing ideas, tools, and methods that excite me. Slides and videos from past conference talks are available and embedded in almost all of the posts below. Additional resources may be available upon request if not included online – please don’t hesitate to reach out!

Python Rgonomics

workflow

python

rstats

A survey of modern python tooling that “feels good” to R users

posit::conf(2024)

Data Downtime Horror Stories Panel

data

Panel discussion with Chad Sanderson and Joe Reis, hosted by Monte Carlo Data, on our thorniest brushes with data downtime, leading data teams to tackle data quality at scale with testing, contracts, observability and monitoring, and more.

Monte Carlo Data Panel

Operationalizing Column-Name Contracts with dbtplyr

workflow

rmarkdown

rstats

An exploration of how data producers and consumers can use column names as interfaces, configuations, and code to improve data quality and discoverability. The second half of the talk demonstrates how to implement these ideas with my dbtplyr dbt package.

dbt Labs Coalesce (2021) | NYR (2023) | posit::conf(2023)

Scaling Personalized Volunteer Emails

data

elt

An overview of the data stack used to automate over 50,000 personalized emails to voter turnout volunteers using BigQuery, dbt, Census, and MailChimp

Data for Progress Data Engineering Open Mic (Jun 2023)

Causal Design Patterns

causal

An overview of basic research design patterns in causal inference, modern extensions, and data management strategies to set up a causal inference initiative for success

Data Science Salon NYC (2023) | Pivigo Data Meet-Up (2021) | Toronto Data Workshop (2021)

DataFold Data Quality Meet Up

elt

data

Joined a panel of speakers to discuss tips and tricks for running dbt at scale

DataFold Data Quality Meetup (2023)

Posit Data Science Hangout

rstats

workflow

Each week, host Rachael Dempsey invites an accomplished data science leader to talk about their experience and answer questions from the audience. The discussion focuses mainly on the human elements of data science leadership. There’s no sales or marketing fluff, just great insights from inspiring professionals.

Posit Data Science Hangout (2023)

Evaluation without Experimentation

causal

An introduction to inverse propensity of treatment weighting for program evaluation with applications to Two Million Texans’ relational organizing campaign during the 2022 midterms

Data for Progress Data Engineering Open Mic (Mar 2023)

Taking Flight with Shiny: a Modules-First Approach

workflow

rstats

shiny

An argument for the individual and organization-wide benefits of teaching new developers Shiny with a modules-first paradigm.

Appsilon ShinyConf 2023

The Data (error) Generating Process

data

Interrogating the data generating process to devise better data quality tests.

Airbyte move(data) (2022) | CANSSI Ontario (2022)

The Data Engineering Podcast: Column Names as Contracts

data

Discussing how column names can serve as a light-weight alternative to data catalogs and contracts and how to implement this approach with dbtplyr

The Data Engineering Podcast

UIUC STAT447 (Data Science Programming) Guest Lecture

rstats

workflow

Discussing how to move from scripting to tool development, designing tools in enterprise, and navigating diverse data career paths

University of Illinois Urbana Champaign (2021)

Column Names as Contracts

data

Exploring the benefits of using controlled vocabularies to encode metadata in column names, and demonstrations of implementing this approach with the convo R package or dbt extensions of SQL.

Toronto Data Workshop on Reproducibility (2021) | Good Tech Fest (2021) | LA R User Group (2022)

oRganization: Design patterns for internal packages

workflow

pkgdev

rstats

An overview of the unique design challenges and opportunities when building R packages for use inside of a single organization versus open-source. By using the jobs-to-be-done framework, this talk explores how internal packages can be better teammates by following specific design patterns for API design, testing, documentaiton, and more.

rstudio::conf(2021) | csv,conf,v6 | EARL Boston 2021

projmgr: Managing the human dependencies of your project

workflow

rstats

pkgdev

A lightning talk on key features of the projmgr package which brings enables code-based planning and reporting workflows grounded in GitHub issues and milestones

RMarkdown Driven Development

workflow

rmarkdown

rstats

How and why to refactor one time analyses in RMarkdown into sustainable data products

rstudio::conf(2020) | csv,conf,v5

Assorted talks on designing analytical tools and communities for enterprise

workflow

rmarkdown

rstats

A variety of related talks to creating innersource culture with R packages and related tools

O’Reilly Strata NYC (2018) | data.world Afternoon of Data (2019) | IDEASS Chicago (2018) | Domino Data Pop-Up (2017)

tidycf: Turning analysis on its head by turning cashflows on their side

workflow

pkgdev

rstats

A case study on building an internal R package for customer lifetime value modeling at Capital One and leading broader analyst adoption of open-source tooling and reproducible workflows through a community of practice.

EARL Boston (2017) | RLadies Chicago (2017) | rstudio::conf(2018)