Dr. Ghosh’s “Predictive Analytics in Healthcare” Talk at HomeAway

Dr. Joydeep Ghosh’s class was one of my favorite classes from the program thus far. His Advanced Predictive Modeling course is integral in my opinion to my success both in the program and outside of the program. His research was interesting, and when I saw he was slated to give a talk to Austin’s Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining (ACM KDD for short- because the full title is a mouthful) MeetUp on personalized healthcare I jumped at the opportunity to check it out.

 

ProfGhosh_Homeaway1Dr. Ghosh’s talk took place in the incredibly cool Homeaway Office. The walls lined with photos of Austin landmarks, like Deep Eddy (the pool not the vodka), The Broken Spoke, and one of my personal favorite- Sandy’s Burgers and Frozen Custard signs. Homeaway was gracious enough to cater some delicious Mexican food (and free beer), for the talk. I and a few other students had the opportunity to mix and mingle with Austin-based analytics professionals, and people interested in Healthcare. This was my 4th or 5th meet-up with KDD crowd, but first topic discussion as opposed to a training.

 

Dr. Ghosh delivered his talk entitled “Towards Personalized Medicine: Building Predictive Models for ‘Segment of One’” The talk was interesting and engaging. Dr. Ghosh explained that it was going to be less technical in terms of the algorithms being used, but more general in terms of direction of the field. The talk was engaging for people of various knowledge and skill levels; and we also managed to get him to talk about some of the math. There was some extended back and forth on the current testing procedures, and the need for an updated standard in the medical field.

 

All in all- the talk was a great way to start off the winter holiday. Sure it’s not everyone’s idea of “fun” to spend more time going to what some might view as a lecture- but Dr. Ghosh was able to deliver an engaging and interesting talk, surrounding the future of one of the fastest growing analytics fields that didn’t feel like a lecture. (Brief disclaimer- I enjoyed his lectures so I might not be the person to ask). I might be a nerd, but fajitas, beer and an engaging talk about one of the fastest growing analytics fields sounds like a pretty fun evening to me.

 

If you’re interested in getting involved in ACM KDD check out their meet-up page here, and keep an eye out for their Python training, Hadoop training, and upcoming Invited Speaker Series with Dr. Grauman on Computer Vision & Machine Learning for Vision Search and Object Recognition.

 

–Greg Merchant

 

Greg Merchant is a current MSBA candidate who graduated from undergrad in Finance and Business Honors at UT. He worked in financial modeling and advertising analytics before joining the program.

 

Dr. Joydeep Ghosh teaches Advanced Predictive Modeling (One of the most important courses in the program) in the fall semester. You can learn more about him at  http://www.ece.utexas.edu/people/faculty/joydeep-ghosh

 

“Picture courtesy : Austin-ACM-SIGKDD”

Texas MSBA at SXSW

10 of the MSBA Student Bloggers were given a pass to SXSW Interactive to explore what the festival had to offer from an analytics perspective (and to have some fun in the process!). From video game expos and virtual reality stations to Victoria’s Secret models and 3D Printers, there was plenty to see! Below, Monisha & Max, two of our student bloggers, recapped some of their favorite parts of this exciting Austin event:

 


 

Monisha’s Multisensory SXSW Experience

Last week was spring break and as an MSBA-er who doesn’t know how to take it easy, I spent most of it in downtown Austin immersing myself in the multisensory temptations of SXSW, a set of film, interactive and music festivals that take place in Austin every year drawing crowds from all over the world! SXSW Interactive focuses on emerging technologies and novel ideas that are radically transforming the way we perceive and interact with technology. From listening to Edward Snowden video conference his thoughts on protecting privacy and mitigating the intrusion of mass surveillance, to watching Karlie Kloss, of Victoria’s-Secret-Angel fame, talk about how technology has democratized fashion week, I enjoyed the opportunity to tickle my intellectual curiosity and feed my insatiable appetite for debate and discourse. And, because it was Spring Break, and I revel in Austin’s music scene, I soaked in some of Stromae’s electrifying beats and experiential lyrics at the Spotify House, and enjoyed (guiltily) Miley Cyrus’ surprise performance at Fader Fort.

Companies like Samsung and National Geographic had stalls where you could experience their product and service offerings. Samsung’s Oculus Virtual Reality (VR) headset gave a very literal, 3-D preview of an SNL recording (with Sir Paul McCartney, Michael Douglas and Leonardo DiCaprio) and the new movie in the Divergent series, Insurgent. I was mesmerized by how virtual reality and its progression, augmented reality, are set to redefine entertainment experiences, particularly gaming. 

Monisha SXSW

Wowed by Samsung’s (Oculus) VR headset!

Unfortunately, I couldn’t beat the crowds for the National Geographic stall which gave visitors the opportunity to ‘battle for survival’ by spending 20 minutes with a group in a 40F room while they figured out how to get out. However, there were tons and tons of freebies to make up. Yahoo had a rooftop lounge with free drinks, and jenga, and the trade show had the likes of NASA with free Orion (NASA’s new exploration Spacecraft) pins and tons of fascinating information about space! Samsung, if you braved the queue, was giving away customized (by you!) T-shirts.

By the end of the first day, I was tired, and my limbs were groaning like an old rocking chair, but SXSW kept me going back for more every day for a week! It truly is an event that needs to be experienced and not vicariously enjoyed!

 


 

Max’s Eclectic SXSW Experience – 3D Printing, Gaming, and New TV Shows 

“I could always become an Uber driver.”

At least that’s what I was thinking as my Uber driver dropped me off a few blocks from the Austin Convention Center. He had just finished bragging to me that he was supposed to make thousands of dollars over the course of SXSW.  So began my SXSW week, as thousands of people converged to Austin for the the interactive, entertainment, and music festivals. I interacted with employers, ate good food, and met some strange people. There was a lot going on all over the city, and I thought I would share some of my favorite experiences.

3D-Printing/Scanning and the Smithsonian

I was wandering around after visiting the Game Expo (discussed later) when I stumbled upon a 3D-Printing Session. 3D-Printing is all the rage nowadays, and the possibilities seem limitless at this point so I decided to drop in. The Smithsonian has hundreds of thousands of artifacts at its disposal. Now imagine being able to hold any one them in your hand (albeit a slightly smaller version) – that is what the Smithsonian is striving towards for disadvantaged students in public schools. They are 3D scanning artifacts like the Wright-Flyer and Abe Lincoln’s face mask (an actual molding of the President’s face!!!!). These students who would otherwise be unable to see the actual items in person can now experience them. Most schools can’t afford a 3D printer, but the data from each scan is being stored online, and some of it has been made available to digital 3D model viewer. You can now get up close and personal with ancient relics without having to disobey the “do not touch” signs. It’s pretty cool stuff, and researchers are now able to see things they have not seen before with these 3D scans.

Mr. Robot

I explored SXSW with another MSBAer, Megan Chan. One day, we stumbled across a group of dudes wearing black hoodies and sunglasses in the convention center just standing around. Turns out they were promoting a TV series premiere called Mr. Robot. I hadn’t seen any new tv/movies yet so we decided to go. I somehow got in and we snagged some hoodies of our own. The show was great. Reminded me of Dexter but with a computer hacker instead of a serial killer. Definitely reinforces the sense of being a badass because you can code….

Max SXSW

Crowds at the Gaming Expo

Game Expo

The final thing I want to talk about is the Game Expo and the gaming session I attended. First of all, the game expo is on the south-side of town. It definitely felt like the conference organizers were quarantining the gaming nerds, like myself, out in the boonies. Not cool. Anyways, the Expo was great and I got some hands-on time playing Star Citizen with Oculus Rift. The game is a sci-fi space flight simulator, and I definitely felt like Han Solo zooming around shooting down bad guys. The session I went to focused on the current state of the gaming industry. Specifically, the discussion revolved around the fact that virtually all games being made are either big budget action games or indie games. This bi-modal distribution of game development has led to some stagnant creativity and profits in the industry. If only I had 15-20 million dollars lying around… 

 


 

SXSW: an Experience Not-to-be-Missed

All in all, the MSBA students had a great time exploring all that SXSW has to offer. Big Data and analytics saturated the interactive portion of the event. It is a great place to meet like minded people and have a great time!

Any questions about SXSW, the MSBA Program, or the Outreach Committee, just ask: MSBusinessAnalytics@mccombs.utexas.edu

A Day in the Life of a MSBA Student

“This program is going to be intense”

This was the common feedback I kept hearing from everyone. During the first week of our semester, all the students associated with the program – new and graduating – were invited to a happy hour networking session at El Mercado, a nearby restaurant. The outcome was truly unique. To quote Professor Hasler, “It was one of the only places in the nation at the moment with more than a hundred analytics professionals under one roof”. Even amidst the lively gathering, the thoughts kept lingering in my mind – How intense is the program? Will I have time to study, prepare myself for a job and have time left to pursue my hobbies? Will I get to sleep during the coming year?

If you are a prospective student, you might be wondering the same. Through this post I want to share a typical day as a business analytics student at Mccombs. The experiences will be different for every student, of course. The semesters are packed with classes, assignments, guest speakers, industry sessions and recruiting events. I strongly believe being constantly engaged with the learning environment is a part of what makes my journey at Mccombs quite exhilarating and worthwhile.

September 4th 2014 – Thursday

6.00 am – 6.30 am: Wake up, shower, breakfast, dress.

6.30 am – 7.00 am: Talk to a prospective student from India. The applications for next year’s admissions were about to go live soon and as expected, the interest in the program was growing exponentially. A good place to start your research is the program website and the FAQ page

7.00 am – 9.00 am: Complete required readings for class. They are typically posted on Canvas (the online learning management system) the night before. Tuesdays and Thursdays are slightly more hectic due to the electives. I opted for Accounting/Finance and Marketing Analytics 1. More information on the curriculum here.

9.00 am – 9.30 am: Walk to class. I live in West Campus – the residential area closest to campus. UT has a pretty efficient shuttle system, which I generally use. On this day however, I walked. Takes about 15 minutes. Got to stay fit!

9.30 am – 10.45 am: Database Class. Professor Konana was quite impressed with most of us showing up in business professional attire. “I feel under-dressed”, he quipped. Yes, business professional is mandatory for every class. The previous sentence is false. The previous sentence is true. The real reason being we were slated to attend the Executive Council Reception later that evening. More on this later.addtl_Os1-12012009151229

11.00 am – 12.30 pm: Lunch at O’s café on the 3rd floor of Mccombs. Check email (and Facebook). Finish the write-up for the case we were going to study in the accounting class. We discussed a different case every class and the write-ups were due before each class.

12.30 am – 1.45 pm: Accounting Class. Professor Laux discussed about opportunity costs. I ruminate how life in this program is a lesson in opportunity costs – you choose your battles, and hope things go well. Talks about the mid-term jolt me back to reality. I realize I need to get the reference book from PCL (Perry Castaneda Library, which is right across the street from Mccombs)

2.00 pm – 3.30 pm: My time before the marketing class is generally spent in the Reliant Productivity Center. We book a team room and go through the case as a group. We skimmed through the case (do not tell our professor!) and spent a considerable time researching the companies we were about to meet right after class.

3.30 pm – 4.45 pm: Marketing Class. This was my favorite class of the semester. Professor Sonnier always kept the lectures impactful and pulls out great insights. The in-class discussions were a valuable learning experience.

5.00 pm – 7.00 pm: Executive Council Reception. Our program has several corporate partners, who work closely with the faculty and staff to ensure the curriculum is in tune with the industry’s needs. The attendees for this event were a mix of analytics executives, professionals, and recruiters. Most of these companies were also interviewing students from our class the next day. It was a great opportunity to expand our networks and learn more about the analytics needs and projects of across various domains, and hopefully get shortlisted for a few interviews as well!

7.00 pm – 8.00 pm: Deloitte S&O Info Session. Unlike the previous session, which was specific to our program, this event was open to all UT students. This was another useful opportunity to meet stalwarts from the consulting industry and learn more about the upcoming opportunities.thai-how-are-you-logo

8.30 pm – 9.00 pm: Dinner at Thai, How Are You?, one of the many restaurants on the Drag. Food, sweet food.

9.00 pm – 9.15 pm: Walk home. Still burning them calories.

9.15pm – 10.30 pm: Plan schedules for the team meetings next week. Check mails (and the social media universe). Mails from Candice about getting shortlisted for interviews are always revitalizing. Spend some time preparing for the interviews. The career course has helped us a lot in this regard – from getting our resume ready, providing tips for the cover letter, polishing our pitch, etc. The mock interviews at the start of the semester also proved quite beneficial.

10.30 pm – 11.15 pm: The interviews start early tomorrow, at around 8 am and go on till 3 pm. My first interview is at 8.30 am. I get the interview attire ready for the next day. I go for a short run. Shower, then drop off to sleep like a log. Can’t wait for the next day!

Analytics Reading List

Incredulous stares. Conversations cease as a hush falls over the room. Small children stop crying and tilt their heads sideways. “You read a book? …For fun? When?” Yes, this is the likely reaction that you’ll receive after announcing that you read something longer than a case study from cover to cover while dealing with the workload of grad school. Or so I would imagine. Most of the time our eyes are glued to our computer or phone screens, jumping from Python codes, R scripts, and Excel sheets to emails and Twitter feeds, skimming posts and titles, making mental notes to read something later before rushing off to work on the next project and completely forgetting about whatever article piqued our interest. Fortunately, the wonderful professors and staff here in charge of the MSBA program didn’t get to where they are by sitting on their hands, and have decided to share a few of their favorites (both non-fiction literature and textbooks). These recommendations are based on the simple criterion of being well written or enjoyable, while tying back to any one of the many topics related to analytics.

 

So whether you’re buried under a few feet of snow with nothing but Wi-fi and your Kindle to keep you company, or just looking for a few pieces to add to your summer reading list, make sure to give these titles a look! (And if you’re an incoming student hoping to improve your analytics chops, any one of these is be a great place to start.)

Competing-on-Analytics

 

Competing on Analytics: The New Science of Winning by Tom Davenport:

“This book describes organizations that use business intelligence and analytics not only to improve operations, but also to compete more effectively” (from tomdavenport.com).

 

 

price of everything

The Price of Everything: Solving the Mystery of Why We Pay What We Do by Eduardo Porter:

The Price of Everything starts with a simple premise: there is a price behind each choice that we make, whether we’re deciding to have a baby, drive a car, or buy a book. We often fail to appreciate just how critical prices are as a motivating force shaping our lives. But their power becomes clear when distorted prices steer our decisions the wrong way” (from eduardoporter.com).

 

investment science

Investment Science by David Luenberger:

Investment Science, (a textbook), provides thorough and highly accessible mathematical coverage of the fundamental topics of intermediate investments, including fixed-income securities, capital asset pricing theory, derivatives, and innovations in optimal portfolio growth and valuation of multi-period risky investments” (from amazon.com).

 

 

Mostly Harmless EconomicsMostly Harmless Econometrics: An Empiricist’s Companion by Joshua Angrist:

“In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions — regression discontinuity designs and quantile regression — as well as how to get standard errors right. Angrist and Pischke explain why fancier techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science” (from mostlyharmlesseconometrics.com).

 

Bayesian Stats & MarketingBayesian Statistics and Marketing by Peter Rossi, Greg Allenby, & Rob McCulloch:

            “Bayesian Statistics and Marketing describes the basic advantages of the Bayesian approach, detailing the nature of the computational revolution. Examples contained include household and consumer panel data on product purchases and survey data, demand models based on micro-economic theory and random effect models used to pool data among respondents. The book also discusses the theory and practical use of MCMC methods” (from wiley.com).

 

The wisdom of crowds

The Wisdom of the Crowds by James Surowiecki:

The Wisdom of the Crowds is about the aggregation of information in groups, resulting in decisions that, arguably, are often better than could have been made by any single member of the group. It presents numerous case studies and anecdotes to illustrate its argument, and touches on several fields, primarily economics and psychology” (from wikipedia.org).

 

 

Of course, no reading list on analytics would be complete without two of the most well known mainstream works:

 

Moneyball

Moneyball: The Art of Winning an Unfair Game by Michael Lewis:

“Moneyball is a quest for the secret of success in baseball. In a narrative full of fabulous characters and brilliant excursions into the unexpected, Michael Lewis follows the low-budget Oakland A’s, visionary general manager Billy Beane, and the strange brotherhood of amateur baseball theorists. They are all in search of new baseball knowledge – insights that will give the little guy who is willing to discard old wisdom the edge over big money” (from michaellewiswrites.com).

 


The Signal and the Noise by Nate Silver
:

“Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future” (from amazon.com).

 

And remember, a number of areas in the analytics world are constantly evolving. By the time a book is published on a given topic, it may already be old news. Make sure to keep up with blogs, articles, research papers, and of course, @TexasAnalytics on Twitter.

Happy reading!

(A special thanks to Professors Hasler, Sonnier, Barua, Rao, & Muthuraman for their help in compiling this list)