Nik Kumar's guest appearances

Nik Kumar

Admissions Straight Talk

Jellybean Podcast with Doug Lynch

Steve Carroll

Kate Smith

Chris Nickson

Rosalind Franklin

Johns Hopkins

Julian Savulescu

Karim Brohi

Derek Angus

David Anderson

Sarah Webb

Mark Wilson

Dan Davis

Michael Stanley

Chris Hicks

Michelle Johnston

OwlTail

Interview with Nik Kumar, Columbia MBA Class of 2019 [Show Summary]Want to know what it’s like to be a Columbia MBA? How about what it’s like to be a police officer? Nik Kumar (CBS ’19) can answer those questions, and in this episode he shares the ins and outs of both. Listen in for the scoop!A Current Student's Perspective on Columbia Business School [Show Notes]Our guest today, Nik Kumar, earned his bachelor’s degree from Cornell in Industrial Labor Relations and Economics. He joined Bank of America/Merrill Lynch as an analyst in 2010, moved into PE in 2012, and became a CBS MBA student in January 2018. While working on Wall Street, he also served as a volunteer auxiliary police officer for the NYPD.Can you tell us about your background? Where you grew up? What you like to do for fun? [1:45]I grew up in the Dallas area, and by the time senior year of high school rolled around I really wanted to get away from Texas, so I went to Cornell and had a wonderful time there, enjoying the experience and being away from a big city. Many people I met there are still great friends to this day. When I graduated the allure of Wall Street was too much to pass up so I joined the investment banking program at Bank of America/Merrill Lynch as an analyst in their leveraged finance group. I then had the unique opportunity to join a smaller firm, Sound Harbor, focused on distressed debt, and then went to another larger firm, AEA Investors, where I was for 2.5 years before starting at Columbia.How did you get interested in becoming a volunteer police officer? [3:08]In looking back it started kind of with 9/11. As I grew older and saw the terrorist incidents I hated being unable to do anything about them. I thought about joining the military, going to West Point, but quickly learned I might not be the best fit to lead a platoon in Afghanistan or Iraq. I decided to pursue a more regular career path, but always had the desire to do some sort of service. When I found out about the NYPD program I knew I wanted to be a part of it. It is essentially a reserve police unit that operates during big events, like parades, visiting dignitaries, etc. It is a 12 hours/month commitment. Training is over 16 weeks, once a week at the police academy and includes training in self-defense, penal law, reacting to terrorist incidents, and military style training, so very different from anything I had ever done previously. People in my class were from very different backgrounds - students, mechanics, city workers – and it was an amazing way to meet people I wouldn’t otherwise have the chance to. We did not have guns, and our responsibility was mainly to observe and report, crowd control, etc.What experience as a police officer stands out for you? [6:28]New Year’s Eve always stood out. I did that for four years in Times Square. With so many people in such a tight area, my responsibility was to be on the lookout for anyone acting suspiciously and also crowd control – that people are safe, crowds don’t spill over barricades and stampede. It was our job to make sure it didn’t happen.You have an undergrad degree in business and extensive experience in investment banking and private equity. Other than the credential, why do you need an MBA? Are you actually learning much from your studies? [9:47]The decision to go back wasn’t easy. I spent a lot of time thinking about it. I spent a lot of time doing research, visiting schools in the Northeast, and talking to students. I also talked to a lot of people senior to me. The perspective I got was that you get out of it what you put into it. It is a major investment in time and money, but I went back because I knew I wanted to be an investor long term and I had only done one form of investing. I had also never taken marketing or operations or personal leadership, and so far it’s completely changed the way I think about investing and companies. If I were to go back to the exact job I was doing before school,

Interview with Nik Kumar, Columbia MBA Class of 2019 [Show Summary] Want to know what it’s like to be a Columbia MBA? How about what it’s like to be a police officer? Nik Kumar (CBS ’19) can answer those questions, and in this episode he shares the ins and outs of both. Listen in for the scoop! A Current Student's Perspective on Columbia Business School [Show Notes] Our guest today, Nik Kumar, earned his bachelor’s degree from Cornell in Industrial Labor Relations and Economics. He joined Bank of America/Merrill Lynch as an analyst in 2010, moved into PE in 2012, and became a CBS MBA student in January 2018. While working on Wall Street, he also served as a volunteer auxiliary police officer for the NYPD. Can you tell us about your background? Where you grew up? What you like to do for fun? [1:45] I grew up in the Dallas area, and by the time senior year of high school rolled around I really wanted to get away from Texas, so I went to Cornell and had a wonderful time there, enjoying the experience and being away from a big city. Many people I met there are still great friends to this day. When I graduated the allure of Wall Street was too much to pass up so I joined the investment banking program at Bank of America/Merrill Lynch as an analyst in their leveraged finance group. I then had the unique opportunity to join a smaller firm, Sound Harbor, focused on distressed debt, and then went to another larger firm, AEA Investors, where I was for 2.5 years before starting at Columbia. How did you get interested in becoming a volunteer police officer? [3:08] In looking back it started kind of with 9/11. As I grew older and saw the terrorist incidents I hated being unable to do anything about them. I thought about joining the military, going to West Point, but quickly learned I might not be the best fit to lead a platoon in Afghanistan or Iraq. I decided to pursue a more regular career path, but always had the desire to do some sort of service. When I found out about the NYPD program I knew I wanted to be a part of it. It is essentially a reserve police unit that operates during big events, like parades, visiting dignitaries, etc. It is a 12 hours/month commitment. Training is over 16 weeks, once a week at the police academy and includes training in self-defense, penal law, reacting to terrorist incidents, and military style training, so very different from anything I had ever done previously. People in my class were from very different backgrounds - students, mechanics, city workers – and it was an amazing way to meet people I wouldn’t otherwise have the chance to. We did not have guns, and our responsibility was mainly to observe and report, crowd control, etc. What experience as a police officer stands out for you? [6:28] New Year’s Eve always stood out. I did that for four years in Times Square. With so many people in such a tight area, my responsibility was to be on the lookout for anyone acting suspiciously and also crowd control – that people are safe, crowds don’t spill over barricades and stampede. It was our job to make sure it didn’t happen. You have an undergrad degree in business and extensive experience in investment banking and private equity. Other than the credential, why do you need an MBA? Are you actually learning much from your studies? [9:47] The decision to go back wasn’t easy. I spent a lot of time thinking about it. I spent a lot of time doing research, visiting schools in the Northeast, and talking to students. I also talked to a lot of people senior to me. The perspective I got was that you get out of it what you put into it. It is a major investment in time and money, but I went back because I knew I wanted to be an investor long term and I had only done one form of investing. I had also never taken marketing or operations or personal leadership, and so far it’s completely changed the way I think about investing and companies. If I were to go back to the exact job I was doing before school,

MBA, Private Equity, Cop: Meet Nik Kumar, Columbia MBA 2019

Jellybean 96; Big Data with Nik KumarBig data. It's very big. There's a lot of it. It’s Jellybean time. Matt McPartlin strikes gold in Wollongong.Moment to moment information on heart rate, respiratory rate, how much urine has come out, how much fluid has gone in, the sodium, the glucose, the pH and what was had for breakfast. And that's just one hour, from one patient in one of sixteen beds, in one ICU, in one hospital, in one city, from one state.That's a lot of data. It takes machines and algorithm to process. Intelligence of the artificial type. Automated processing.So who manages the machines? Who decides what patterns to watch for? What can be learned from it.Big data is a term that has become increasingly tossed around at research meetings and medical conferences. The multi-centre RCT is under attack. It's expensive, restrictive and only ever seems to  beget more RCTs. Is Big Data here to replace RCTs or to refine it?Big data may be more reflective of real world practice and variance. Like a mega-collection of annecdotal evidence - a Megadote, or maybe a Metadote.Nik Kumar is an ICU registrar who trundled along to the ANZICS Datathon in April to see what all the fuss was about and whether he could use it for some of the projects he had in mind. He went with few expectations. He came back with a whole new perspective on not just data collection and analysis but on collaborative research and future directions for determining trends in practice. He also likes pizza.Big thanks to Matt for recording another Jellybean. Thanks to Dr Nik Kumar for explaining some high end health focused data science. It is not a main stream thing. (Yet.) It is one of those interesting things that hang around at the edges of our working lives. Here at the Jellybean podcast, we love the fringes. We love to learn a little more about the stuff that isn’t in the books, that’s not on any syllabus but is relevant. It might seem small but as we should all know; from little things big things grow.Thanks to Big Data for making the music. We couldn’t resist using one of their tunes. The intro and outro music is from Big Data's track Dangerous You can find that here; https://itunes.apple.com/us/artist/big-data/614730110You kind find more info on this big Big Data thing here;ANZICS Datathon - http://datathon.anzics.com.au/“SIH research engineer wins ANZICS Datathon” - https://informatics.sydney.edu.au/news/anzics/Big data analysis - The Basics- Data Science vs. Big Data vs. Data Analytics - https://au.simplilearn.com/data-science-vs-big-data-vs-data-analytics-article (A non-medical overview)- Medical big data: promise and challenges. Choong Ho Lee and Hyung-Jin Yoon. Kidney Res Clin Pract. 2017 Mar; 36(1): 3ñ11. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331970/ (Full text)- Big Data And New Knowledge In Medicine: The Thinking, Training, And Tools Needed For A Learning Health System. Harlan M. Krumholz. PMID: 25006142. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459394/ (Full text)Machine learning - The Basics- What is Machine Learning? Andrew Ng. Coursera. https://www.coursera.org/lecture/machine-learning/what-is-machine-learning-Ujm7v- Machine Learning in Medicine. Rahul C. Deo. Circulation. 2015 Nov 17; 132(20): 1920ñ1930. Circulation. 2015 Nov 17; 132(20): 1920ñ1930. (Full text)Udacity - https://www.udacity.com/

Jellybean 96; Big Data with Nik Kumar Big data. It's very big. There's a lot of it. It’s Jellybean time. Matt McPartlin strikes gold in Wollongong. Moment to moment information on heart rate, respiratory rate, how much urine has come out, how much fluid has gone in, the sodium, the glucose, the pH and what was had for breakfast. And that's just one hour, from one patient in one of sixteen beds, in one ICU, in one hospital, in one city, from one state. That's a lot of data. It takes machines and algorithm to process. Intelligence of the artificial type. Automated processing. So who manages the machines? Who decides what patterns to watch for? What can be learned from it. Big data is a term that has become increasingly tossed around at research meetings and medical conferences. The multi-centre RCT is under attack. It's expensive, restrictive and only ever seems to beget more RCTs. Is Big Data here to replace RCTs or to refine it? Big data may be more reflective of real world practice and variance. Like a mega-collection of annecdotal evidence - a Megadote, or maybe a Metadote. Nik Kumar is an ICU registrar who trundled along to the ANZICS Datathon in April to see what all the fuss was about and whether he could use it for some of the projects he had in mind. He went with few expectations. He came back with a whole new perspective on not just data collection and analysis but on collaborative research and future directions for determining trends in practice. He also likes pizza. Big thanks to Matt for recording another Jellybean. Thanks to Dr Nik Kumar for explaining some high end health focused data science. It is not a main stream thing. (Yet.) It is one of those interesting things that hang around at the edges of our working lives. Here at the Jellybean podcast, we love the fringes. We love to learn a little more about the stuff that isn’t in the books, that’s not on any syllabus but is relevant. It might seem small but as we should all know; from little things big things grow. Thanks to Big Data for making the music. We couldn’t resist using one of their tunes. The intro and outro music is from Big Data's track Dangerous You can find that here; <a href="https://itunes.apple.com/us/artist/big-data/614730110" rel="nofollow" target="_blank">https://itunes.apple.com/us/artist/big-data/614730110</a> You kind find more info on this big Big Data thing here; ANZICS Datathon - <a href="http://datathon.anzics.com.au/" rel="nofollow" target="_blank">http://datathon.anzics.com.au/</a> “SIH research engineer wins ANZICS Datathon” - <a href="https://informatics.sydney.edu.au/news/anzics/" rel="nofollow" target="_blank">https://informatics.sydney.edu.au/news/anzics/</a> Big data analysis - The Basics - Data Science vs. Big Data vs. Data Analytics - <a href="https://au.simplilearn.com/data-science-vs-big-data-vs-data-analytics-article" rel="nofollow" target="_blank">https://au.simplilearn.com/data-science-vs-big-data-vs-data-analytics-article</a> (A non-medical overview) - Medical big data: promise and challenges. Choong Ho Lee and Hyung-Jin Yoon. Kidney Res Clin Pract. 2017 Mar; 36(1): 3ñ11. <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331970/" rel="nofollow" target="_blank">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5331970/</a> (Full text) - Big Data And New Knowledge In Medicine: The Thinking, Training, And Tools Needed For A Learning Health System. Harlan M. Krumholz. PMID: 25006142. <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459394/" rel="nofollow" target="_blank">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459394/</a> (Full text) Machine learning - The Basics - What is Machine Learning? Andrew Ng. Coursera. <a href="https://www.coursera.org/lecture/machine-learning/what-is-machine-learning-Ujm7v" rel="nofollow" target="_blank">https://www.coursera.org/lecture/machine-learning/what-is-machine-learning-Ujm7v</a> - Machine Learning in Medicine. Rahul C. Deo. Circulation. 2015 Nov 17; 132(20): 1920ñ1930. Circulation. 2015 Nov 17; 132(20): 1920ñ1930. (Full text) Udacity - <a href="https://www.udacity.com/" rel="nofollow" target="_blank">https://www.udacity.com/</a>

Jellybean 96 with Nik Kumar and the Big Data Project