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Dec 8: Spoke with graduates who benefitted from VFF-RDT STEM education for women program that I support.
Oct 20: Attended Conference on digital experimentation at MIT. This is my first time not attending as a student. The main theme of the conference this year seems to be ECON ML and Bandits.
Jun 30: Visited the iconic Apple park campus. Imagine if iPhone was a building.
16 May: PhD commencement at University of Minnesota.
1 May: Delivered a guest lecture on “Introduction to experimentation” at University of Wisconsin, Madison. [slides]
28 Apr: Successfully defended my PhD thesis titled “Essays on Digital transformation: Turning data into assets”
25 Apr: Joined Apple, Seattle
17 Feb: Gave a talk at IDSc PhD program brown bag seminar series on “Industry paths for PhD students”. Video
18 Jan: Accepted a job at Apple as a Data Scientist, Statistician, AI/ML Data. I will join Guillaume Saint-Jacques to further the experimentation efforts at Apple.
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5 Oct: Interviewed by interviewquery.com regarding the field of Decision sciences and my research. Excerpt and video.
3 Oct: Participated and finished my first Marathon (Twin Cities Marathon) at 4hr40min. Picture at mile 23 near the cheer squad of Mill City Running. Ran with from start to finish.
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19 Dec: Presented 'Multi-Armed Bandits with Inference considerations' at Workshop on Information systems and Economics.
23 Oct: Our paper (With Edward Mcfowland III, Ravi Bapna, Tianshu Sun) "A Prescriptive Analytics Framework for optimal policy deployment using Heterogeneous Treatment Effects" got accepted for publication at Management Information Systems Quarterly.
27 Sep: Ran my first half marathon in Bellevue. There were no events due to COVID. I just got up and finished 13.1 miles. I wrote about it here.
Things I wished I knew before I attempted a solo sub 2hr Half Marathon
18 Aug: Presented 'Multi-Armed Bandits with Inference considerations' at American Marketing Association summer conference.
16 Aug: One of my brilliant students I taught Data Modeling at Databases course during Spring 2019 and wrote a recommendation letter to was successfully admitted by Columbia University, University of Southern California, National University of Singapore, Washington University (St. Louis), Duke University, etc., for graduate school.
18 Jun: Presented 'Multi-Armed Bandits with Inference considerations' at Statistical Challenges in Electronic Commerce Research. This is the first virtual conference I attended and presented at.
10 Apr: Led a team of volunteers at an Online Remote Hackathon and developed https://coronadailyupdates.org/. This service sends SMS to users in India with COVID-19 numbers in their district, state, country. The main motivation is to serve a large demographic of under-served people who are not digitally savvy to get this information from dashboards/chatbots.
6 Feb: Received CSOM Doctoral dissertation fellowship worth $28000 recognizing impactful research and timely progress.
6 Feb: Passed Oral Preliminary Examination - Now, a Doctoral Candidate!
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27 Dec: Presented 'Multi-Armed Bandits with Inference considerations' at Conference on Digital Economy, Kolkata conducted by Indian School of business.
31 Oct: Attended Conference on Digital Experimentation (CODE) at MIT IDE in Boston, Massachusetts
19 Oct: Presented 'Multi-Armed Bandits with Inference considerations' at Data Science Workshop, Conference on Information Systems and Technology at INFORMS Annual Meeting, Seattle. slides
Presented 'Multi-Armed Bandits with Inference considerations' at Department Seminar of IDSC Department, Carlson School of Management
Delivered 'R Bootcamp' to new members of the Undergraduate Business Analytics Club at Carlson School of management. slides
Received 'Ph.D. Teaching Award' for excellence in teaching during the academic year 2018-19 from Carlson School of Management, University of Minnesota
Taught IDSC 3103 - Data Modeling and Databases during the spring semester (SRT score - 5.5/6)
Some reviews: "Sandeep has great knowledge on the topic and does a very effective job of communicating the practical uses of SQL to the student. In addition, Sandeep deeply cares about his students and the topic he teaches. That shows by how open he is to work with students one on one to get them to understand the topic."
"One of the best instructors I've ever had. No fluff, every word out of his mouth was relevant and applicable. He also gave us access to external tools for optional additional practice. No busywork, no attendance grade, and assignments that both reflect the content and are difficult enough to study for."
Received Travel Fellowship award of $750 from Carlson School of Management
Presented our paper titled "A Prescriptive Analytics Framework for
optimal policy deployment using Heterogeneous Treatment Effects" at Winter Conference on Business Analytics in Snowbird, Utah. ppt
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Presented our paper titled "A Prescriptive Analytics Framework for
optimal policy deployment using Heterogeneous Treatment Effects" at Workshop on Information Systems and Economics in San Francisco, California
Gave a talk at Medical Industry Leadership Institute about our work on "A Prescriptive Analytics Framework for optimal policy deployment using Heterogeneous Treatment Effects" at Carlson School of Management, Minneapolis, Minnesota
Gave a talk on "Cross-sectional and Panel data analysis" to Ph.D. students in a brown bag seminar at Carlson School of Management, Minneapolis, Minnesota
Attended Conference on Digital Experimentation (CODE) at MIT IDE in Boston, Massachusetts
Passed preliminary PhD program requirements
Presented my latest work titled "The effect of eSports on Traditional sports viewership" to Ph.D. students in a brown bag seminar at Carlson School of Management, Minneapolis, Minnesota