This is Part 2 of my projects from 2011. For January thru June, see the previous post.
July: Dropbox mobile redesign
My summer project at Dropbox was a redesign of their mobile web app. Having not touched web development for the last 7 years, it was great to work with newer technologies. It was a summer of everything from designing the product and performing basic market research to developing and testing the product to doing everything possible to polish it up. Dropbox put up a nice blog post about it, and there were some other mentions too!
Discover Electrical Engineering and Computer Science (DEECS) is a annual preorientation program for incoming freshman to explore EECS. In 5 days, 40 students build, code, and test LEGO line-following robots (assuming no prior LEGO theory and hardware or software skills), in addition to exploring MIT, checking out Boston, touring labs, and making friends with one another. I’ve been involved for the last 4 years, but last year I ran the robot project, with Nick. We bumped up the bar a bit by introducing training for lab assistants, and it was my first time lecturing.
September: Selling HKN resume books
Another sales-related project was figuring out how to best market the MIT EECS resume book to the large number of companies that want MIT EECS students. Alongside Alex, we fixed up the website, coordinated helpers to personally pitch the resume book to company representatives at the Fall 2011 career fair, and organized sales campaigns.
I wanted to know how much time I was spending on email each day; it seemed like hours, and that was 1) terrifying, and 2) unacceptable. Pranjal wanted to quantify everything. Together, we wrote a few scripts that tracks computer usage down to the second and then gives you stats on where and how you spend your time. At the time of writing, I was averaging 1.8 hours for email, 3.5 hours in the terminal, and 8.9 hours of computer usage over the past week (per day). More daily averages: 4 minutes on Facebook, 20 minutes on Feedly, 8 minutes on Google Calendar, 1 minute on Wikipedia. The TimeTracker source can be found on Github.
November: Sentiment Analysis
Sentiment analysis is the detection of emotional content in writing. For 6.867, Pranjal and I applied a bunch of machine learning techniques to IMDb reviews and Yelp reviews to see how easy (or hard) it was to detect sentiment. We essentially replicated and then extended a bit Pang’s 2002 work. Although I set out by assigning projects to months, I actually end up assigning months to projects. This is prime example of how projects span more than a single month because we are still working on it (nearly done!). The Sentiment-Analysis source can be found on Github.
I wrote extensively on my recent Asiatrip with Nancy, Julian, and Josh to see manufacturing, makerspaces, relatives, and general touristy things, but there’s still so much left untold and unwritten! Regardless, it was an amazing way to spend Winter Break, it doubled the number of countries I’ve stayed in, and it widened my world by even more than that.