Hello folks, I am a senior out of Europe and planning to apply some schools listed below. Could you please discuss my weaknesses and evaluate my chances to get into those programs?
Overall GPA: Econ major 3.60 overall cgpa major gpa is 3.73
Calculus 1 A-
Calculus 2 A
Statistics and Probability A
Linear Algebra and Differential Equations B+
Econometrics B+
Introuduction to Computing with Matlab B+
Algorithms with Java A-
Corporate Finance A-
Applied Econometrics A-
GRE: 167 quant
Internship: 2 months internship at a london based insurance company at the investment department, mainly used STATA and SAS.
3 months internship at fintech startup where I used advanced python libraries and econometric analysis (such as pandas,seaborn,statsmodels,scipy and tensorflow). I also exposed myself to trading with cointegration,pairs trading and mean-reversion. I backtested simple trading strategies on forex market using python and visualized them.
2 months internship at the ministry of finance and treasury at the risk management department, again mainly used R and Python to calculate VaR. Worked mainly about interest rate swap. Had a presentation about LIBOR.
Certificates: Datacamp Data science with Python (88 hours)
LoR: I can get recommendation letters from proffs graduated from noteable universities such as Northwestern ,Oxford ,Hopkins or NYU. My school is known across europe and Usa even though it is not a western european country, my department sends students to top universities every year (including USA and Eu).
Target Schools: TU Wien
Zurich University
Imperial College London
Oxford
UChicago
NYU Tandon
Also I would like to ask how important internships are? For example, I had a relevant internship at the government and for me, at least, this seems pretty cool but is it also noticeable for the admission comm.? Does it really affect my application?
Overall GPA: Econ major 3.60 overall cgpa major gpa is 3.73
Calculus 1 A-
Calculus 2 A
Statistics and Probability A
Linear Algebra and Differential Equations B+
Econometrics B+
Introuduction to Computing with Matlab B+
Algorithms with Java A-
Corporate Finance A-
Applied Econometrics A-
GRE: 167 quant
Internship: 2 months internship at a london based insurance company at the investment department, mainly used STATA and SAS.
3 months internship at fintech startup where I used advanced python libraries and econometric analysis (such as pandas,seaborn,statsmodels,scipy and tensorflow). I also exposed myself to trading with cointegration,pairs trading and mean-reversion. I backtested simple trading strategies on forex market using python and visualized them.
2 months internship at the ministry of finance and treasury at the risk management department, again mainly used R and Python to calculate VaR. Worked mainly about interest rate swap. Had a presentation about LIBOR.
Certificates: Datacamp Data science with Python (88 hours)
LoR: I can get recommendation letters from proffs graduated from noteable universities such as Northwestern ,Oxford ,Hopkins or NYU. My school is known across europe and Usa even though it is not a western european country, my department sends students to top universities every year (including USA and Eu).
Target Schools: TU Wien
Zurich University
Imperial College London
Oxford
UChicago
NYU Tandon
Also I would like to ask how important internships are? For example, I had a relevant internship at the government and for me, at least, this seems pretty cool but is it also noticeable for the admission comm.? Does it really affect my application?