Natalia Dorogi
I live in NYC and am engaged with technology as a builder, investor, and connector.
I spent just over 2 years working with General Atlantic's value add arm since its revamped inception and was able to work with some awesome portfolio companies, on diligence projects, and internal strategic initiatives.
The common thread between everything exciting to me is how technology can be used to solve our problems. I’ve helped some amazing VC funds with their thinking on that as well as some early stage startups by wearing the hat of a few roles. I am an Alumni VP at Contrary.
I studied Operations Research undergrad & Computer Science masters. I ski raced throughout college and competed at Nationals 4x. I taught 8 different courses. I'm passionate about CEYA.
I was born in CA, grew up in MA, and love day trip adventures. I ski, printmake, and occasionally co-star on my mom’s cooking show.
Email: nataliadorogi12@gmail.com
What I've taught at Columbia:
Entrepreneurship: BUS3702 Venturing to Change the World [taught 3x]
Computer Science: COMS W4995 Data Visualization, ORCA2500/4500 Data Science, COMS1004 Intro to CS: Java
Operations Research: IEOR3608 Foundations of Optimization, IEOR3402 Production and Inventory Planning [taught 2x, assumed role of PhD head TA]
Calculus: APMA2000 Multivariable Calculus [taught 3x], MATH1202 Calculus IV, MATH1102 Calculus II
For fun:
Ski Racing: retired college athlete, doing the race day official thing
Printmaking: find my prints currently in a gallery in Harvard MA. I was a printshop monitor at Columbia's LeRoy Neiman Center for Print Studies
Women sports: previous super fan of Boston Breakers. Find me watching women sports
Concerts: I love music and have been on a mission to go to more concerts
Various projects:
JustInCase - HackMIT 2nd, won “Best Use of AI / ML” + “Data Usability”: Created serverless AI chatbot for learning about case law, using Python, AWS Lex,
Jinja, and Bootstrap, through lambda functions and case law APIs to create an intelligent
tool for pro-bono law firms that lack adequate resources
Yappy Bird - HackHarvard Winner of “Most Useless”: Built voice-controlled flappy bird using Arduino IDE and voice sensor to get audio data in C++ and push
it to python program to simulate keystrokes depending on the volume of audio inputs