As an investment research professional, much of my work over the last 17 has centered around developing a deep understanding of businesses based on senior management interactions, financial modeling, forecasting, and primary due diligence. Data has also been central to my analysis; I would use it to understand how consumers react to new product launches, pricing or promotional shifts, branding campaigns, and macro-economic trends. As data has become more and more central to my investment process, I joined the NYC Data Science Academy to strengthen existing abilities and develop new capabilities in the areas of coding, analysis, machine learning, data visualization, and prediction. I believe my new skills and certification will allow me to better analyze business, visualize relationships in data, and develop thoughtful insights grounded in science.
