Deep Learning Data Analysis

**** - **** ********, **

Brought together researchers and engineers for lectures and tutorials on state-of-the-art deep learning methods and best practices for running deep learning on high-performance computing systems Provided opportunities to connect with other students and scientists with a shared interest and discuss how the latest advances in learning algorithms can be used for their science Built and maintained a data and reporting infrastructure using Grafana and SQL to provide real-time insights into the integrity and efficiency of the supercomputer data infrastructure with 125+ TB of data Designed a graphing, monitoring, and 3D visualization tool used for intelligent monitoring and alerting Set up and managed Docker containers running PHP applications for deployment into Kubernetes Pods Collaborated with 6+ senior network engineers, software engineers, and the engineering manager to define release management processes

Performed in-depth data analysis on novel sensors to determine the instantaneous direction of power flow in commercial power systems with intermittent sources.

Engineered and evaluated circuit schematics to assess and optimize system performance based on analytical findings. Integrated microcontrollers with magnetic field sensors to assemble and rigorously test performance, ensuring accurate data capture.

Conducted sophisticated data analysis and visualization using MATLAB and AutoCAD, translating complex research findings into actionable insights.

Python SQL Java MATLAB Linux Git TensorFlow YAML Prometheus Grafana Elasticsearch Kubernetes Docker Matpoltlib Jupyter Pandas Excel Google Charts CAD Detail-oriented and innovative IT professional with 5+ years of experience in engineering, DevOps, and data analytics. Adept at providing comprehensive technical and administrative support in virtual environments. Committed to leveraging my skills and expertise to enhance technology operations and deliver effective solutions to complex challenges. High Performance Computing Club

University of California Berkeley, Berkeley Sensor and Actuator Center DSL4SCI (Deep Learning School for Science)

Data Visualization:

Programming Languages:

Monitoring and observability:

Visiting Researcher

DevOps Intern

Member

Lawrence Berkeley National Laboratory

Professional Experience

Extracurricular Activities and Project Experience

Skills

Summary

Lawrence Berkeley Laboratory- National Energy Research Scientific Computing Center JAMEELAH N. MERCER

2019 - 2021 Berkeley, Ca

2017 - 2019 Berkeley, Ca

Competed at the SC18 International Conference for High Performance Computing, Networking, Storage, and Analysis Built and maintained a miniature super-computing cluster using git, linux, python, and bash commands Configured and complied a free, open-source software called Horovod to distribute deep-learning training using TensorFlow, Jupyter Notebook, Matpoltlib, and Linux

2019 & 2020 Berkeley, Ca

San José, Ca ad9p8h@r.postjobfree.com 415-***-**** www.linkedin.com/in/jameelahmercer Lawrence Berkeley National Laboratory

Research Assistant

Analyzed indoor air quality data to characterize microfluidic sensors for airborne particles, using statistical tools in Excel to process and interpret data trends.

Assembled, tested, and analyzed sensor data to refine designs and improve measurement accuracy. Prepared experimental results using data visualization tools such as Google Charts and Excel, effectively communicating complex data insights to stakeholders and contributing to research publications. 2015 - 2017 Berkeley, Ca

Circuit Launch

Built a miniature autonomous car and collected data using computer vision Trained a Convolutional Neural Network using Keras, python programming and tensorflow Implemented a deep learning autopilot using a Behavioral Cloning (Imitation Learning) technique Tested and troubleshoot any diagnostic issues with robotic hardware and software Wrote, edited, and formatted technical documentation for machine learning models and software Machine Learning Intern

Summer -2022 Oakland, Ca

Education

Associates of Science- Mathematics Berkeley City College - May 2021 Bachelor's of Science- Applied and Computational Mathematics Minor Computer Science

San Jose State University- 2022-2025

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