tequila

Hi everyone. I am interested in data science field and applied to mostly Business Analytics programs in 2020 Fall and got offers from UCSD, UCD, WashU, CMU-A etc. While I accepted offers from UCSD and WashU, I decided to take a gap year before starting graduate study. Also I decide to re-apply for more data science related programs in 2021 fall and see if I could get better offers than UCSD/WashU. So my school list goes a little bold this year. My strengths and weakness are both obvious, I have really low GPA(mostly due to poor maths grades) but abundant relevant internship experience in top-tier firms. Your suggestion would mean a lot to me. Considering applying to: UCB IEOR MEng, CMU MISM, Columbia QMSS-DS, Chicago Master of Analytics, UCLA MEng-DS, Duke MIDS, Brown DS, Cornell Undergrad Institution: Top 2 in China, ranked 30~50 globally Undergrad Major: Econ/Finance Years out of undergrad: 0.5 (just graduated this fall) GPA: 3.34/4.0 (3.5 in last two semesters) GRE: 159(V)/167(Q)/3.5(W) Quant Background: Calculus I and II, Linear Algebra, Stats and Prob, Database management, Introduction to Computing. Programming Background: Learnt computer programming course in python and database management. Mainly used SQL and python at work. Relevant Work Experience: 6-month internship in Bain as a consulting assistant. 6-month internship in Amazon as a business analyst. Currently a data science intern in LinkedIn. Languages: Fluent oral English. TOEFL 108 International experience: Studied at UC Berkeley for one semester and got 4.0 GPA. Led a shot-term summer exchange program with Kyoto Univ. in Japan. Strength of LOR: Expecting strong recommendation from former employers and professors.