- Joined
- 7/7/24
- Messages
- 2
- Points
- 1
hello everyone, So basically mistook a finance class last quarter (its kind of a long story) and i am thinking about pursuing Computational Finance, the class was pretty fun had to study a bit but not too hard. what i am actually confused about is my profile is a perfect fit to actually switch my career path into Computational finance. (if i do i might just target CMU)
Education: Tier 3 Uni, Undergrad Comp-Science minor AI ML (3.1 GPA), Masters in Business Analytics UC San Diego (3.7+ GPA)
GRE/GMAT: 338/340 (QUANT - 168 / V - 170)
Additional: Candidate Masters on Codeforces (C++ based problem solving rank)
CourseWork: Lots of python related stuff like sql and analytics (in masters) and a lot of C++ and Machine learning.
Research: (published)
• Efficacy of Deep Learning Models for Ocular Disorder Detection (IEEE, ISPCC 2022)
• Transfer Learning for Driver Drowsiness Detection (Springer, ICDIS 2021)
• Forecasting Time-Series Data using S-ARIMA, CNN, and LSTM (IEEE, ICCCIS 2022)
• Potency of Deep Learning Models for Glaucoma Detection (IEEE, Confluence 2022)
• Real-time Detection of Eye Disorders using Deep Learning (IEEE, INDIACOM 2022)
Work Experience:
Data Analyst at SmartProperty
Oracle Inc - Intern
Singapore Airlines - Revenue Analyst
National University of Singapore - Research Assistant at (Revenue Management Department)
Languages: C++ (Strong), Python (Strong) , R, SQL
Related Additional Project:
Education: Tier 3 Uni, Undergrad Comp-Science minor AI ML (3.1 GPA), Masters in Business Analytics UC San Diego (3.7+ GPA)
GRE/GMAT: 338/340 (QUANT - 168 / V - 170)
Additional: Candidate Masters on Codeforces (C++ based problem solving rank)
CourseWork: Lots of python related stuff like sql and analytics (in masters) and a lot of C++ and Machine learning.
Research: (published)
• Efficacy of Deep Learning Models for Ocular Disorder Detection (IEEE, ISPCC 2022)
• Transfer Learning for Driver Drowsiness Detection (Springer, ICDIS 2021)
• Forecasting Time-Series Data using S-ARIMA, CNN, and LSTM (IEEE, ICCCIS 2022)
• Potency of Deep Learning Models for Glaucoma Detection (IEEE, Confluence 2022)
• Real-time Detection of Eye Disorders using Deep Learning (IEEE, INDIACOM 2022)
Work Experience:
Data Analyst at SmartProperty
Oracle Inc - Intern
Singapore Airlines - Revenue Analyst
National University of Singapore - Research Assistant at (Revenue Management Department)
Languages: C++ (Strong), Python (Strong) , R, SQL
Related Additional Project:
- Arbitrage Ethereum Contract (2019): Developed a smart contract on Ethereum for arbitrage trading. This involved navigating multiple exchange routes to execute profitable swaps by meticulously calculating associated fees and other variables to ensure positive returns.
- Sentiment Analysis Platform for Solana: Created a platform that performs sentiment analysis on Solana buy-in trends based on recent news and articles. The platform includes advanced filtering to exclude fake news, and the model’s performance is validated with a solid profit and loss (PnL) record.