Machine Learning Data Scientist

Michael Christy

Machine Learning Engineer & Data Scientist

Contact

Buckhead, Atlanta, Georgia, 30342

615-***-****

**************@*****.***

http://www.linkedin.com/in/michael

-christy-5339b433b/

Key Skills

• Machine Learning

• Deep Learning

• Reinforcement Learning

• NLP(Natural Language Processing)

• Computer Vision

• Time-Series Forecasting

• Data Analysis

• Python

• C++

• Java

• SQL

• Algorithms & Data Structures

• TensorFlow

• Keras

• Pytorch

• Scikit-learn

• OpenCV

• Pandas

• Numpy

• Matplotlib

• Seaborn

• AWS(S3, EC2, SageMaker)

• Google Cloud

• Microsoft Azure

• Docker

• Kubernetes

• TensorFlow Serving

• Hadoop

• Spark

Professional Summary

Experienced Machine Learning Engineer and Data Scientist with 5+ years of expertise in Computer Vision, NLP, Time-Series Forecasting, and Recommendation Systems. Proficient in deep learning, reinforcement learning, and ML Ops tools (TensorFlow Serving, Docker, Kubernetes). Skilled in leveraging cloud platforms (AWS, Google Cloud, Azure) and big data technologies

(Hadoop, Spark) to design scalable data pipelines. Recognized for delivering innovative solutions that drive business growth and operational efficiency. Work History

Amazon – Senior ML Engineer & Data Scientist

Seattle, Washington

05/2021 ~ 11/2024

• Spearheaded the development of cutting-edge deep learning models for predictive analytics, enhancing product recommendation systems by 20%.

• Streamlined cloud-based infrastructure with AWS services (S3, EC2, Lambda, SageMaker), cutting model training time by 35%.

• Engineered and implemented NLP pipelines for sentiment analysis on customer reviews, attaining 92% accuracy.

• Collaborated effectively with cross-functional teams to seamlessly integrate AI/ML solutions into existing workflows, boosting operational efficiency by 15%. Tesla – Machine Learning Engineer

Palo Alto, California

01/2020 ~ 04/2021

• Enhanced deep learning models for Autopilot, boosting object detection and lane recognition by 15%.

• Developed predictive models for battery analytics, extending EV battery lifespan by 12%.

• Automated defect detection in Gigafactories, cutting quality control inspection time by 20%.

• Improved reinforcement learning for autonomous navigation, lowering edge- case error rates by 8%.

• Constructed scalable ML pipelines on Tesla's cloud infrastructure, handling terabytes of sensor data daily.

Education

01/2015 ~ 12/2019

University of Miami

Oxford, OH

Bachelor of Science: Computer Science

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