Skills

I AM REALLY GOOD AT THE FOLLOWING TECHNICAL SKILLS

Machine Learning

90%

Python

95%

Applied Math

70%

Research

70%

CS Fundamentals

80%

Robotics

60%

Accomplish­ments

PREVIOUS ASSOCIATIONS THAT HELPED TO GATHER EXPERIENCE

Machine Learning Engineering for Production (MLOps)

Built machine learning production systems that can handle relentless evolving data and continuously run at maximum efficiency
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Probabilistic Graphical Models

Formulated joint (multivariate) distributions over large numbers of random variables that interact with each other
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Behavioral Finance

Examined the predictable financial decision-making errors, and discoverd where we are most susceptible to them
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Algorithmic Trading & Quantitative Analysis Using Python

Built fully automated trading system and Implement quantitative trading strategies using Python
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Deep Reinforcement Learning Nanodegree

Leart cutting-edge deep reinforcement learning algorithms, applied these concepts to train agents to walk, drive, or perform other complex tasks

Practical Machine Learning with Tensorflow

Built multiple machine learning systems using tensorflow
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Deep Learning

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives

Machine Learning Specialization

Introduction to modern ML, including supervised learning, unsupervised learning, and some of the best practices used in Silicon Valley for ML innovation