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Mentors

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Radovan Kavicky edited this page Jan 7, 2018 · 9 revisions

For mentors adding themselves, include some of the following information

Name

Contact Details

Location / Time Zone (if you're comfortable)

Slack username / Twitter / etc

Notes on best contact (Slack DM, Twitter, email, etc)

Topics / Skills Specialties

Domains / Topics of Interest

Skills / Specialization

Any other notes or comments

Lauren Renaud

Contact Details

San Jose, CA // Pacific Time Zone

DM me on Slack (@lauren) is best // twitter // github

Topics / Skills Specialties

I like using data for social good. I work for a nonprofit (Family Independence Initative) that supports low income families. I got my masters in Data Analytics and Public Policy at Heinz College at CMU. (And happy to talk about pros and cons of going back to school!)

I did some research last year on recreational cannabis in Washington State and how to better classify products using machine learning.

I'm also interested in how we talk about data to a range of audiences, how we can make it less intimidating while also increasing data literacy (which seems important now...).

I can help with:

  • Decent with ggplot
  • Decent with Shiny apps
  • Talking through / brainstorming how to approach data, what story you're telling, how to visualize
  • I <3 dplyr
  • Cleaning up your code / good practices

Radovan Kavicky

Contact Details

Bratislava, Slovakia // Central European Time Zone

DM me on Slack (@radovankavicky) & you can find me also on: // twitter // github // linkedin // kaggle // datacamp // klout

Topics / Skills Specialties

Principal Data Scientist & President at GapData Institute, where I harness the power of data & wisdom of economics for public good.

• Macroeconomist by education/academic background and Consultant & Data Scientist by professional background (8+ years of experience in consulting for clients from public & private sector) with strong mathematical & analytical skills able to deliver top-level research and analytical work
• Specialities/Main area of expertise (hard skills): econometrics, data science, economic policy (monetary&fiscal), quantitative analyses, financial modeling, data visualization (mostly Python, R, Tableau)
• Member of Slovak Economic Association (SEA), Evangelist of Open Data, Open Budget Initiative & Open Government Partnership
• Founder of PyData Bratislava, R <- Slovakia & SK/CZ Tableau User Group (skczTUG)
• Speaker @TechSummit (Bratislava, 2017), @PyData (Berlin, 2017) & Member of the global Tableau #DataLeader network (2017)

Everyone is welcome to reach out and if it somehow involves or combines Data Science, Economics, Finance, Public Policy and Data Visualization... don't hesitate a minute, I'd be glad to help. From MATLAB, SAS & Stata I switched to Python, R & Tableau. Right now learning mostly Julia & Stan.

As for R I can help with:

  • Nearly anything R-related
  • Data Visualization (ggplot2, rbokeh, ggvis & Shiny)
  • Data Wrangling (dplyr, tidyr)
  • Reporting (R Markdown, Jupyter Notebook with IRkernel)
  • I like Hadleyverse in general (also known as tidyverse)
  • Statistical and ML Data Modeling & Forecasting (caret, mgcv, gam, forecast, AER)
  • Deep Learning (keras, tfestimators, tensorflow)
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