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KM

Karthik Mokashi

Santa Clara University

https://linkedin.com/in/karthikmokashi

I am pursuing my Master's at Santa Clara University with a focus on Data Science and Business Analytics. I am passionate about improving my knowledge of the different models and the accompanying tools, and how they are applied to diverse business questions. I am working on building my knowledge in the field of text mining and enjoy exploring the various ways of processing text.
I also hold a Bachelor's degree in Computer Science and work full time at SAP currently.

8:00am PDT

Registration check-in McCaw Hall

10:15am PDT

Coffee Break McDowell & Cranston

12:00pm PDT

Lunch Lyons & Lodato

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140

2:30pm PDT

Introduction to SparkR (Part 2) Econ 140

10:30am PDT

Using Spark with Shiny and R Markdown SIEPR 130

10:48am PDT

RcppParallel: A Toolkit for Portable, High-Performance Algorithms SIEPR 130

11:06am PDT

Bayesian analysis of generalized linear mixed models with JAGS Barnes & McDowell & Cranston R: The last line of defense against bad debt Econ 140

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

11:42am PDT

bayesboot: An R package for easy Bayesian bootstrapping Barnes & McDowell & Cranston

12:00pm PDT

Lunch with Poster Exhibits Sponsor Pavilion

1:00pm PDT

Linking htmlwidgets with crosstalk and mobservable McCaw Hall

1:18pm PDT

htmlwidgets: Power of JavaScript in R Lane & Lyons & Lodato

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

Multiple Hurdle Tobit models in R: The mhurdle package Barnes & McDowell & Cranston

2:30pm PDT

Coffee Break w/ Poster Session McCaw Hall A Large Scale Regression Model Incorporating Networks using Aster and R Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:30pm PDT

Short Break McCaw Hall

4:45pm PDT

flexdashboard: Easy interactive dashboards for R Lane & Lyons & Lodato

5:03pm PDT

Inside the Rent Zestimates Barnes & McDowell & Cranston

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston Using Shiny modules to build more-complex and more-manageable apps Lane & Lyons & Lodato

5:39pm PDT

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston

8:00am PDT

Registration check-in McCaw Hall

10:30am PDT

Notebooks with R Markdown McCaw Hall Empowering Business Users with Shiny SIEPR 120

10:48am PDT

permuter: An R package for randomization inference Barnes & McDowell & Cranston

11:10am PDT

Scaling R for Business Analytics SIEPR 120

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:20pm PDT

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

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:40pm PDT

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

1:54pm PDT

Approximate inference in R: A case study with GLMMs and glmmsr Econ 140

1:55pm PDT

Bringing the Power of R to Citizen Data Scientists Lane & Lyons & Lodato

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato

2:30pm PDT

Bayesian inference for Internet ratings data using R Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

Shiny Gadgets: Interactive tools for Programming and Data Analysis McCaw Hall

10:48am PDT

Authoring Books with R Markdown McCaw Hall

10:50am PDT

NetworkRiskMeasures: risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity. Econ 140

11:08am PDT

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

11:24am PDT

DataSHIELD: Taking the analysis to the data McCaw Hall

11:42am PDT

rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics SIEPR 130

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato