1 of 14

MAGIC 2017-2018

Final Presentations�

Deep Run HS

May 9th, 2018

2 of 14

  • Mia Lu
    • Visual Hangman, Raspberry Pi LED
  • Allie Quach
    • Twitter Text Analysis in R

​

​

​

Agenda

3 of 14

Mia Lu

Grade 10

​

4 of 14

  • Deepa Kalkunte - Technology Manager at Wells Fargo
  • Manages and directs a team that develops technology applications for Wealth Management
  • Has three kids and loves to travel
  • Passionate about getting girls introduced to STEM careers and fields

My Mentor

5 of 14

  • Every week, I met with my mentor for an hour at the library
  • Go over progress I made, and solve issues together
  • Attended USA Science and Engineering Festival

​

​

​

My MAGICal Experience

6 of 14

  • Programming
    • Using Python to program a hangman game
  • Real-Life Uses
    • Taking Duke Universities Alice Hangman, and adapting it to fit with my program
  • Hardware
    • Raspberry Pi to control LED Lights.

​

My MAGICal Experience

7 of 14

  • Hangman
    • Python
    • Alice

​

My MAGICal Experience

8 of 14

My Demo

9 of 14

Allie Quach

Grade 9

​

10 of 14

  • Name: Sunanda Sridhar
  • Born in Chennai, India
  • Majored in Business Analytics from ASU
  • Works at AC Nielsen,a marketing research firm, located in Chicago
  • Uses regression modeling to identify ROI for marketing initiatives of clients
  • Enjoys travelling, cooking, singing, and problem solving

My Mentor

11 of 14

  • We had hour long sessions every other week tailored to our schedules
  • I was constantly gaining more knowledge in R programming language
  • My mentor provided regular feedback on my progress and performance
  • Apart from coding, I also learned how textual data can be analysed to derive insights
  • I also attended the National Science Fair in Washington D.C.

​

​

My MAGICal Experience

12 of 14

  • Completed Datacamp course in coding language R
    • Introduction to R
      • Vectors
      • Matrices
      • Lists
      • Data Frames
    • Text Analytics
      • TM Package
  • Created a word cloud using twitter analysis
    • Transformation techniques

​

My MAGICal Experience

13 of 14

  • Analysis of 100 most recent tweets from #Amazon
    • Most frequently used words (more than 5 times) :
      • Happy, Love, Like, Thanks,�Enjoy, Best
    • Above words indicate a positive brand image of Amazon on Twitter

​

​

​

My Demo

14 of 14

Thank you!