Shin D.

I do quantitative data analysis and research, with background in finance, statistics, data science, programming, visualization. I'm currently in my last semester of a MS in Mathematical Finance and Financial Technology at Boston University. I help clients turn messy data into clear, defensible analysis, whether that’s financial modeling, regression analysis, time-series work, or backtesting trading ideas. My focus is on correctness, transparency, and results you can actually explain. I can help with: Data cleaning and exploratory analysis (Python, pandas, R) Regression & statistical modeling (cross-sectional, time series, panel data) Financial and portfolio analysis (risk metrics, factor models, performance) Backtesting trading or investment strategies Research support for academic or professional projects My background includes work on financial indices, crypto and blockchain research, and quantitative modeling projects, and I’m comfortable working independently with minimal supervision. I care a lot about getting the details right-assumptions, edge cases, and interpretation, not just producing outputs. If you need a reliable analyst for part-time or project-based work who can both code and explain results clearly, I’m happy to help.