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Jasmine Dumas

Graduate Student & Data Scientist
Hartford, Connecticut, USA

jasdumas.github.io

Formerly a Graduate MS Predictive Analytics student at DePaul University; Currently a Graduate MS student at Johns Hopkins Engineering For Professionals studying Computer Science and Data Science. Currently an Associate Data Scientist at The Hartford Insurance Group working on building predictive models for auto insurance. I enjoy building shiny apps!

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:15am PDT

Coffee Break Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

12:00pm PDT

Lunch Campbell Rehearsal Hall

1:00pm PDT

Extracting data from the web APIs and beyond (Part 1) Campbell Rehearsal Hall

2:15pm PDT

Coffee Break Campbell Rehearsal Hall

2:30pm PDT

Extracting data from the web APIs and beyond (Part 2) Campbell Rehearsal Hall

4:00pm PDT

Short Break McCaw Hall

4:15pm PDT

What's up with the R consortium? McCaw Hall

4:40pm PDT

Presentation of the Women in R task force McCaw Hall

5:00pm PDT

R-Ladies Presentation 1 McCaw Hall

5:10pm PDT

R-Ladies Presentation 2 McCaw Hall

5:20pm PDT

Discussion McCaw Hall

8:00am PDT

Registration check-in McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

R in machine learning competitions McCaw Hall Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

Connecting R to the OpenML project for Open Machine Learning McCaw Hall

11:06am PDT

trackeR: Intrastructure for running and cycling data from GPS-enabled tracking devices in R McCaw Hall

11:24am PDT

United Nations World Population Projections with R McCaw Hall

11:42am PDT

How can I get everyone else in my organisation to love R as much as I do? Econ 140 jailbreakr: Get out of Excel, free McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato Transforming a museum to be data-driven using R McCaw Hall

1:54pm PDT

Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny SIEPR 120

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion Imputing Gene Expression to Maximise Platform Compatibility Sponsor Pavilion Integrating R & Tableau Sponsor Pavilion Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea. Sponsor Pavilion shinyGEO: a web application for analyzing Gene Expression Omnibus (GEO) datasets using shiny Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

How to keep your R code simple while tackling big datasets Barnes & McDowell & Cranston R at Microsoft McCaw Hall

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:39pm PDT

xgboost: An R package for Fast and Accurate Gradient Boosting SIEPR 130

5:57pm PDT

Colour schemes in data visualisation: Bias and Precision McCaw Hall Rectools: An Advanced Recommender System SIEPR 130

6:30pm PDT

Welcome Reception Bing Concert Hall

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:00am PDT

Coffee Break with Poster Exhibits McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130 Empowering Business Users with Shiny SIEPR 120

10:40am PDT

Tie-ins between R and Openstreetmap data SIEPR 120

10:45am PDT

MAVIS: Meta Analysis via Shiny SIEPR 120

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:00am PDT

Text Mining and Sentiment Extraction in Central Bank Documents SIEPR 120

11:06am PDT

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:20am PDT

Automated clinical research tracking and assessment using R-Shiny SIEPR 120

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:35am PDT

R's Role in Healthcare Data: Exploration, Visualization and Presentation SIEPR 120

11:42am PDT

Classifying Murderers in Imbalanced Data Using randomForest McCaw Hall

12:00pm PDT

Lunch with Poster Exhibits McCaw Hall

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:20pm PDT

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

1:54pm PDT

How to do one's taxes with R McCaw Hall

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:12pm PDT

Using R in a regulatory environment: FDA experiences. McCaw Hall

2:30pm PDT

Analyzing and visualizing spatially and temporally variable floodplain inundation Sponsor Pavilion Approaches to R education in Canadian universities Sponsor Pavilion Bayesian inference for Internet ratings data using R Sponsor Pavilion Data Quality Profiling - The First Step with New Data Sponsor Pavilion Developing R Tools for Energy Data Analysis Sponsor Pavilion Helping Non-programmers Use R Sponsor Pavilion Presidential Rankings: Visualization and Comparisons Sponsor Pavilion ROSETTAHUB, the next generation data science platform Sponsor Pavilion Social Vulnerability to Climate Change: Automation and Validation of Indices Sponsor Pavilion Time Flies - Use R to Analyze the Changing Airline Industry Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

4:30pm PDT

Cruise & Conference Dinner McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:00am PDT

Coffee Break w/ Poster Exhibits McCaw Hall

10:30am PDT

swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl Barnes & McDowell & Cranston A Shiny App is Worth 1000**3 Words: A Case Study in Displaying Three-Dimensional Dose Combination Response Data Econ 140

10:40am PDT

Forecasting Revenue for S&P 500 Companies Using the baselineforecast Package Econ 140

10:48am PDT

Practical tools for exploratory web graphics SIEPR 130

11:05am PDT

Using R at a rapidly scaling healthcare technology startup Econ 140

11:08am PDT

Superheat: Supervised heatmaps for visualizing complex data Lane & Lyons & Lodato

11:10am PDT

Event Detection with Social Media Data Econ 140

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

12:00pm PDT

Lunch w/ Poster Exhibits McCaw Hall

1:25pm PDT

Weather Alerts Data with R SIEPR 130