- Joined
- 8/20/22
- Messages
- 12
- Points
- 3
I did Commerce with Math in my high school (Accountancy, Math, Business Studies, Micro and Macro Economics)
B.Sc in Computer Science with Data Analytics ( NAAC A accredited, top 20 in NIRF ranking in India) - Recent grad
Undergrad Coursework:
Statistics and Probability, Applied Statistics, Optimization techniques, Graph Theory, Linear algebra, Matrix Algebra, Predictive Analytics
Python, R, C++, Machine Learning, Artificial Intelligence, Parallel Computing, Data Mining.
GPA 8.8/10, I have perfect scores in Statistics and Probability, Optimization Techniques
I realized my courses didn't have calculus so used MIT OCW to learn Single Variable Calculus and Stochastic Processes.
I have won a couple of international hackathons in Quantum Computing and Fintech ( hosted by Stanford & Yale, FIU, UCBerkeley, NYU AbuDhabi, McMaster)
Have an internship in Portfolio Optimisation using QC.
Working as a full-time (remote) Dev and ML engineer at a Startup in California. The area of work is mostly around Parallelization, NLP, Backend, and Query Optimisation.
Final Year Project: Stock screener using fundamental analysis. I am also soon starting as an intern at a local investment analytics firm as an analyst
I manage a small portfolio for my family members and I found it quite interesting, Portfolio management is something I want to do in a long term.
I am planning to Do an MS in Quantitative Finance or Computational Finance in the US.
Looking at the other profiles I see that my UG coursework lacks math, so should I do an MSc in Statistics in India before I go for MS?
Please advice.
B.Sc in Computer Science with Data Analytics ( NAAC A accredited, top 20 in NIRF ranking in India) - Recent grad
Undergrad Coursework:
Statistics and Probability, Applied Statistics, Optimization techniques, Graph Theory, Linear algebra, Matrix Algebra, Predictive Analytics
Python, R, C++, Machine Learning, Artificial Intelligence, Parallel Computing, Data Mining.
GPA 8.8/10, I have perfect scores in Statistics and Probability, Optimization Techniques
I realized my courses didn't have calculus so used MIT OCW to learn Single Variable Calculus and Stochastic Processes.
I have won a couple of international hackathons in Quantum Computing and Fintech ( hosted by Stanford & Yale, FIU, UCBerkeley, NYU AbuDhabi, McMaster)
Have an internship in Portfolio Optimisation using QC.
Working as a full-time (remote) Dev and ML engineer at a Startup in California. The area of work is mostly around Parallelization, NLP, Backend, and Query Optimisation.
Final Year Project: Stock screener using fundamental analysis. I am also soon starting as an intern at a local investment analytics firm as an analyst
I manage a small portfolio for my family members and I found it quite interesting, Portfolio management is something I want to do in a long term.
I am planning to Do an MS in Quantitative Finance or Computational Finance in the US.
Looking at the other profiles I see that my UG coursework lacks math, so should I do an MSc in Statistics in India before I go for MS?
Please advice.