Prof. B.P. Murthi – The Sublime Predictive Analytics Teacher at UTD

Graduate studies can be a tricky business. In the day and age where many effective lessons and courses are available for free on the Internet, it becomes difficult to choose the right subjects to invest your limited time and money in. More often than not, it just comes down to the professor. In the Spring 2019 semester, I had the pleasure of studying in the class of one of the finest teachers I have seen in a long time. Everyone was already gaga over his abilities, but I only knew how amazing Prof. B.P. Murthi was once I started attending his lectures.

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Your first impression of Prof. Murthi is that he is a simple, soft-spoken man who delivers his lectures with great confidence. Having taught at UTD for 25 long years, his profile boasts of several accolades and awards. But to really understand why Prof. Murthi is so wonderful, you have to attend at least a couple of his lectures. He is one of those teachers who make your life difficult and challenging, but you’ll be grateful at the end of it when you realize it is all for the right reasons. He gives you interesting insights about predictive analytics and its applications in the marketing world using the SAS programming language. His conversational style and sense of humor keeps you interested and engaged. He spends a considerable amount of time teaching how to interpret results that you get after running the code. He emphasizes that we are managers and we need to be able to draw insights and interpret the results effectively to help with important marketing decisions. Just knowing and running the code is not enough!

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All other good things aside, what really makes Predictive Analytics with SAS under Prof. Murthi one of the best classes to take at UTD is the homework he gives you! His assignments that focus on real world problems and his project, which is perhaps the most meticulous data science work you will do in your graduate studies. It is also what will make you stay up at night scratching your head, calling your friends for help, looking up solutions online, and still come up shorthanded. From linear and logistic regression procedures to factor, cluster and discriminant analysis, and from heteroskedasticity, endogeneity to time series and panel data – Prof. Murthi strives to ensure that you understand all the important concepts of econometrics in the analytics context.

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Thanks to Prof. Murthi, I also had the opportunity to work with a brilliant group of Business Analytics students – all of whom came from varied backgrounds and were extremely talented in their own respective fields. I am thankful for having Sajal, Varda, Aman, Aditi and Nitasha as my group members. They held my hand throughout this semester and, along with Prof. Murthi, helped me understand how econometrics and predictive analytics work in the real world. Hours and hours were spent on our project that answered three important predictive analytics questions using SAS on a retail data set –

What is the quantifiable effect of advertising on a specific brand of spaghetti sauce?
How can we describe typical customer behavior?
When are customers most likely to churn?

We applied RFM, Survival analysis and logistic regression on a complicated and large data set with millions of rows to answer these questions. We also gave recommendations based on the insights we got from the data. This kind of hands-on approach on a real-world data set is precisely what is needed for graduate students majoring in data science or analytics.

There are many professors who use Powerpoint presentations to teach and most of the times, the slides are enough to help you prepare for the exams. But not with Prof. Murthi! You need to attentively sit through each one of his lectures, take notes, make videos, do whatever you can to capture everything he says if you really want to make the most of his class. It is all worth it as, by the end of it, you feel you have learnt something valuable and are on the right path to learn more.

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When I shook Prof. Murthi’s hand on the last day of class, I genuinely felt a sense of gratitude. I also felt sad that the class was over. In fact, I may audit some of his classes in the future… just for some perspective!

Tourism and Desalination – An Example from Central America

I have been trying to piece together the impact of tourism on water scarcity and how these two co-relate. Due to my experience as a Travel writer and my interest in solar desalination, it feels like the area I should do some more research on. And thanks to my current education in data analytics, I have the advantage of using tools and technologies that can be helpful additions to my arsenal. Today, I came across an article that talks about the sustainable supply of water for tourism in The Yucatan:

Sustainable, self sufficient supply of water for the Tourism Industry in the Yucatan

 

It’s inspiring to see students working on sustainable desalination and I think the tourism industry, specifically, can benefit from more research and initiatives in this direction. Personally, I am interested in looking at more data points I can use in this area to be able to come up with insights as an analyst. I’ll be thankful to anyone who can point me in the right direction.

616 Days To Go

Use of Data Science in Solar Desalination – that’s what I had in mind when I landed in the United States of America on July 27, 2018 to study Business Analytics. About 4 months into it, I have had the opportunity to meet some amazing people, take a weekend trip to Austin, perform in a brilliant theatre production of Julius Caesar with a supremely talented cast and crew, and found a new organization, Travelytics, at the University of Texas at Dallas. These have been heartwarming experiences and I will write more about them in separate, dedicated blog posts.

Photograph: Theatre UTD

My data science journey so far has involved learning Statistics, the R programming language, and SQL as part of Database foundations. I have also been doing online courses on Python and Machine Learning to get well-versed with the basics of data science. It has all been a bit overwhelming but I think I am slowly finding my bearings here.

For entertainment, I have been binge-watching Aaraon Sorkin’s political drama, The West Wing. One of its episodes titled 365 days has made me think that it would be helpful if I keep count of the number of days I have left in my Masters program. It may be a good way of keeping myself focused and reminding myself of the goals I wish to achieve in my time as a Grad student. So, here we are, at 616 days to go. For some inspiration and perspective, I started with this article on How Big Data is Changing the Future of Renewable Energy Sector:

How Big Data is Changing the Future of Renewable Energy Sector

There is still so much to do. A good strategy would be to first become an expert in data mining, visualization, Big Data Analytics, predictive analytics and Machine Learning techniques while keeping an eye on the business side of things in the solar sector. I should also follow major journals and websites related to both renewable energy and data science (something I should have started already but haven’t). In my second semester, I am taking courses in IT Audit and Risk Management and IT security in order to broaden my horizons. Over the next few weeks, I will be aiming at finishing the Fall semester with as much knowledge retention from my courses as possible, efficient application of techniques in my R and Database projects, and completion of my online courses on Python and Machine learning.

I also have ambitious plans for our new club Travelytics for which I have had the privilege of getting together an excellent team of bright and young students.

616 days to go. Time to turn up the heat!

Beginning Data Science: A New Journey

For over a decade now, I have chased the dream of becoming a Bollywood star. It has been an amazing ride full of ups and downs. There have been some minor breakthroughs but nothing significant enough for me to make a living out. So, while this journey as an aspiring Bollywood actor has taught me a lot and I have thoroughly enjoyed and loved every bit of it, I have come to realize that it is time to pull the plug.

It has taken a lot of effort for me to come to terms with the fact that my acting career is going nowhere. For over 15 years, all that I wanted was this. No matter what I did, no matter where I went, I always felt that it will connect back to my dream. But now, I feel like I do not want to invest any more of my youth in this “struggle”. I need to accept that I have failed. And it is now time to move on.

It makes me very sad. I feel like something is dying inside me. After all, it’s a dream I have chased since I was 16. However, I have found some solace in the knowledge that acting is now a part of who I am and I can always continue being an actor on the side. This is where acting becomes a hobby for me like playing the guitar or dancing or travel. May be I can get back to doing theatre and join the countless number of doctors, engineers, working professionals who use it as a way of expressing themselves! With that in mind, I have made my peace with my decision of giving up my Bollywood aspirations.

Once I made this call, I started looking at other things that excite me – other areas where I thought I could make a difference. I have worked as a Senior Travel Writer, Editor and Manager over the last few years. During this time, I have had time to travel, volunteer, teach, write, think and reconsider my career options. After a fair amount of self-discovery, I have concluded that the best combination of what I would like to do and what the world needs right now is data science in the solar energy sector.

The world of renewable energy, like every other field these days, generates huge amounts of data and there is a need for analysts and scientists who can make sense of this data. With skilled effort in the right direction, a lot can be done to bring down solar implementation costs. That to me is an exciting future to work towards. With my background in Electronics and Telecommunications engineering, and my interest in programming and statistics, it felt like the right thing to pursue next.

I started my data science journey last year with an introductory course on the R programming language on a website called Datacamp. I have followed it up with an MIT OCW course on Introduction to Computational Thinking Using Python. I have also applied to several universities for my Masters in Business Analytics/ Data Science/ Information Systems. If all goes well, I hope to begin higher studies in Fall 2018.

This is a new beginning and as one would expect, I am nervous and anxious just like I was at the beginning of my Bollywood struggle. I am 32 now and it scares the shit out of me to restart my whole career. Nevertheless, I am driven by the fact that I now have a new purpose – one that can add some value to the world and also help me meet my true potential. I realize that this may look like a clichéd choice, a silly one even. But what matters to me is – it feels like something worth doing no matter how people perceive it. It is what my heart is pointing me towards.

I do plan to continue theatre and acting in some form or another. But now, it would be just for me and not with the motive of “chasing a dream”. My dream has now been replaced by an ambition – Become a skilled Data Scientist and make a revolutionary impact in the Renewable Energy sector.

Love,
Dilip Merala