Summary
Vikram Balakrishnan is an investment technology partner focused on fixed income with 10 years of experience applying machine learning, time-series forecasting, and NLP to investment workflows. He builds statistical and ML-driven factor models and automations that translate macroeconomic and commodity signals into actionable portfolio insights, and has a track record of moving research (e.g., knowledge-graph-based text mining) into production. Comfortable with tools from scikit-learn and TensorFlow to Neo4j and PostgreSQL, he bridges quantitative research and engineering to deliver business value for portfolio managers. A former graduate teaching assistant, he pairs strong statistical rigor and feature engineering with practical deployment experience, often surfacing non-obvious signals via entity and relationship extraction.
10 years of coding experience
5 years of employment as a software developer
Anna University, Chennai
Master’s Degree, Data Science, Engineering Management, Master’s Degree, Data Science, Engineering Management at Northeastern University
London School of Economics and Political Science