ANKUR SINGH

Experienced Quantitative Trading Analyst with a strong background in developing and executing data-driven strategies in fixed income markets. Skilled in statistical modeling, algorithmic trading, and risk management, with expertise in Python and data analysis. Proven track record of optimizing trading performance through advanced quantitative techniques and market analysis.

• Machine Learning, Stanford University, Coursera, 08/23/18
• Programming for Everybody (Getting Started with Python), University of Michigan, Coursera, 09/27/18
• Intro to Descriptive Statistics(Udacity(MOOC Platform)
• Deep Learning by Andrew Ng(Coursera(MOOC Platform)

• Independently handled trading book for 1 month to 30 year interest rate products of US Treasury notes, bonds, SOFR, Fed funds future, etc. listed on CME and CBOT; gross profit $100k+
• Traded individual volume of around 500k annually at CME.

Machine Learning on System Configuration, IIT Dhanbad, 07/01/18, 

• Created a ml model to predict mapping between certain columns based on a given reconciliation sheet from different sources using data preprocessing and one-class SVM (one class classification).
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Forest Cover Classification on Kaggle, IIT Dhanbad, 09/01/18,

• Developed a multiclass classification model to predict the forest cover type (the predominant kind of tree cover) from strictly cartographic variables. Achieved an accuracy of 80.04% and was in top 10% (out of 1694) in leaderboard.