taraneh: ~ $ Hello I am Taraneh BigBow

taraneh: ~ $ I live in San Francisco

taraneh: ~ $ I am a software engineer |

taraneh: cd home/about-me

taraneh: cd home/projects

taraneh: cd home/contact

|

Hi, I am Taraneh
(but you can call me Tara)

Hello There!

  • I am so excited you're here!


  • I am from Oklahoma and am very proud to be half Native American from the Kiowa Tribe. There aren't a lot of Natives in tech and one of my biggest goals is to get more exposure to the natives of all tribes so a career in tech can become possible!


  • I was awarded a full scholarship from Facebook and I have graduated from Hackbright in September 2016.


  • I am very passionate about the backend and am focused learning as much as I can. However, the frontend is pretty amazing. I had so much fun creating this site!


  • Feel free to reach out. Virtual high fives

My Projects

Warn me Sooner

Warn Me Sooner is my first project built as a Hackbright Student. It is a social networking site for weather updates in Oklahoma.

Severe storms are very common in Oklahoma. The best way to get the most current update is by texting with friends on their current location and status, and gauging from there what to expect. Many times, updates from your Facebook page are more accurate than listening to the news.

Warn Me, Sooner uses Python in the backend, a Postgres database, flask for the framework, and javascript on the frontend
It uses Zipasaur API to seed the database, Wunderground API for the alerts. Darksky API for the weekly forcast and Google Maps for the location marker.

Github Repo

Factcrunch

Factcrunch was built by a team of 4 during the 2016 SF TechCrunch hackathon.

This was my first hackathon. I am very happy that I was able to join a team that had great communication and encouragement. I really enjoyed the opportunity to work as a team

We used IBM's Watson to convert speech to text to process statements being made in real time. Using Amazon Alexa, we created a trigger for users to initiate a search on the most recent thing they heard. Alexa then communicates with an API service we built with nodeJS and express, that queries trusted and vetted news articles from Politifact with a custom google searrch to determine a ruling for the statement. Alexa's voice then instantly responds with a ruling and summary of the statement.

More info on Devpost

Say Hi Or Keep in Contact

Taraneh.BigBow@gmail.com

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