Vikram Balakrishnan

Investment Technology Partner, Fixed Income at Loomis, Sayles & Company

Greater Boston United States
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job5 years of employment as a software developer
bookAnna University, Chennai
bookMaster’s Degree, Data Science, Engineering Management, Master’s Degree, Data Science, Engineering Management at Northeastern University
bookLondon School of Economics and Political Science

Github contributions (4)

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nikbearbrown/Deep_Learning

Oct 2017 - Oct 2017

Contributions:28 pushes in 16 days
Contributions:1 push in 1 day
r-programming
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