Siddhartha Allen

Business Analytics ’16

Hometown: Albuquerque, NM

Current Job Title: Consultant at Slalom

Hobbies: Playing piano and guitar, working on my car, and reading (everything from fiction, to philosophy, to poetry and business books) 

Why did you choose Daniels for your graduate degree?  

The Master’s in Business Analytics program at Daniels is organized to teach students the entire data pipeline in practical use. You get a functional understanding of everything in data architecture, data engineering, analytics and data science. On top of this, the courses are taught by people who are actively working in the field, or who have years of experience applying the material in the business world. This gave me an opportunity to not only learn very technical skills, but to also understand how they’re used in a corporate environment.

What surprised you the most about business school?

A lot of the generic classes we took as business students that weren’t specific to our field of study ended up becoming totally applicable to my life, both personally and professionally. There was a lot of learning about how people behave and react, and it has directly helped me become a better person.

What is your favorite thing about living in Denver?

The mountains!

What were you looking for in a business school?

I wanted to take a deep dive into data and analytics and I wanted that education to be framed around practical use of the subject. The faculty at Daniels has the experience to speak to the practical use of data analytics. Having professors and lecturers who are either actively working in the business world, or who have years of experience doing so gives students a wealth of connections within the Denver market they can make. This let me learn what the job environment looked like as I was finishing up the program, which prepped me for job searching. 

Is there a particular class at Daniels that really stands out?

Phil Beaver has been working in analytics for decades, both in the public and private sectors. His statistics and complex data analytics courses include very difficult and dense material, which he is able to explain in digestible chunks. On top of that, he provides tangible examples of how these concepts are used, and assigns projects that force students to think critically about how to apply the material in a practical way. He invites discussion, criticism and feedback constantly. Phil encourages students to come to him for help, and is willing to work with students until they feel comfortable with the material. And he’s hilarious!

Tell us about the Daniels classroom experience. 

Small, and very engaging. No class feels like a lecture, but a discussion. Debate is both welcomed and encouraged.

How have you evolved as a leader during your time at Daniels?

I learned that my tendency to be empathetic is a great way to help people feel heard. I learned how to use that to help encourage people around me to be their best, because it’s the person I see. 

If you could tell your past-self one thing before starting grad school, what would it be? 

It’s never too early to start meeting people; networking is a lot easier when it’s organic and you never know who might have something interesting to talk to you about. 

What advice do you have for prospective students?  

You get out what you put in, so put in as much as you can. Also, don’t wait to start looking for work after school!