vendredi 6 mars 2015

Who to use for LORs for Business Analytics Programs


I'm applying to a highly regarded business school's analytics program (my ultimate goal is along the management track and any advanced mathematics(real analysis, pde, numerical analysis, etc.)/programming was self-taught which precludes me from a “proper” machine learning degree).


I currently have a few people who are willing to write LoRs for me.


1) My current manager. He’s willing to say that I’m the most analytical savvy person he’s ever had work for him and will attest to my work ethic, willingness to stretch myself in a variety of areas(leadership, graphic design, mathematical/statistical modeling, IT knowledge), my strong technical skills, and ingenuity/creativity.


2) A finance professor from undergrad who has since moved on to the university I’m applying to. She recommended I aim for people who are highly familiar with my work as she can only say that I aced her course, participated a lot and was VP of the finance association at the time and pitched events to the class.


3) A Senior director – has used my work in various projects. Is impressed by my ability to learn and whip together analytics projects that require a wide range of technical skill sets(e.g. webserver using wordpress, R and shiny). Has had me participate in international teleconferences.


4) A Senior VP – has seen my work, liked it (I streamlined a report going to the CEO which was disliked and too cumbersome where others failed). He jokes that I work too hard and never sleep. Thinks I’m bright and likes me.


Additional information: The program is more practical than technical - few will come out knowing that K-means is normally based off of the L2 norm... or what an L2 norm is. At the information session, the program head stated that he wants people who are “highly employable”. I went to a top 50 program to save money and lived at home. I worked around ~30 hours a week throughout undergrad to pay for tuition. I also did a lot of internships and ECs. My gpa at the start of undergrad was low because I repeatedly retook and did poorly in calculus. I did very well in business courses(3.9/4.0) and mediocre in the advanced track for mathematical stats/econometrics (2.8) overall GPA is a 3.2. GPA by the most punitive measure. For terms where I didn’t work/intern 25-60 hours a week my GPA was a 3.6 with an average course load of 18 units. I currently work as a senior analyst at a Fortune 100 company. I'm work in an analytics group. I currently have 3 years work experience. My pay has nearly doubled since I started and I’m currently in the top 3% of US income earners in my age group.





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