Cybersecurity Analytics | Python Automation | Data Analysis | SQL & Jupyter | Machine Learning | Data Visualization

• LinkedIn for Full Work History and References
• Client Reviews on Codementor.io

Summary

Experienced data analyst with a background in electrical engineering, hardware test automation, and Python development. Currently transitioning into cybersecurity analytics through the Google Cybersecurity Certificate. Applies an engineering mindset to data wrangling, automation, and visualization using Python and SQL. Builds tools for structured and unstructured data analysis with a focus on vulnerability management, log analysis, and threat detection workflows.

• What is a Data Scientist?
• Data Scientist vs Data Engineer

Skills & Knowledge

Core Competencies
Critical thinking · Problem solving · Engineering mindset · Analytical reasoning

Programming & Tools
Python · SQL (PostgreSQL, MySQL, MSSQL) · Bash · Git · JupyterLab · PyCharm · GitHub · Linux CLI · VS Code

Data Science & Analysis
pandas · NumPy · scikit-learn · TensorFlow (intro) · data wrangling · statistical analysis · API integration · ETL pipelines

Cybersecurity
Cybersecurity analytics · log analysis · vulnerability management · risk assessment · Linux system tools · CLI workflows

Visualization & Reporting
Matplotlib · Seaborn · Bokeh · Plotly · Power BI · Tableau · Excel (Power Query, Power Pivot, DAX)

Engineering & Automation
Electrical validation · Signal integrity testing · Test plan development · Waveform analysis · Lab automation with Python · Oscilloscope scripting · Hardware bring-up and debug

Mathematics & Statistics
Linear algebra · Calculus · Differential equations · Statistic

Education

• Bachelor of Science in Electrical Engineering
  Portland State University, Portland, OR
  Graduated: August 2004

Professional Experience

• Professional Development
  Career Break, Portland, Oregon
  Oct 2022 – Present
  Cybersecurity Transition & Technical Development
  • Pursuing the Google Cybersecurity Certificate, covering cybersecurity foundations, risk management, network security, Linux, and SQL
  • Completed supplementary coursework in Python, machine learning, deep learning, Power BI, and OpenAI API (see Certifications section)
  • Contributed to the developer community by answering Python questions on Stack Overflow
  • Edited and curated community-submitted questions and answers for clarity, accuracy, and relevance
  • Cybersecurity Portfolio
• Contract Data Analyst III
  Space Telescope Science Institute, Baltimore, MD
  Jan 2022 – Sep 2022
  Utilized Python for data ingest automation to build new SQL tables for Hubble Advanced Products (HAP) from FITS files. Created Jupyter Notebooks for Hubble telescope observation mission data.
  Project Resources:
  • Notebook Contributions
  • Hubble Space Telescope
  • Hubble Advanced Products (HAP) Home
  • Hubble Advanced Products (HAP)
  • HAP Single Visit Mosaics Now Available
  • STScI MAST
  • Hubble Source Catalog Search
  • hubble space telescope (ehst) archive

• Freelance Data Analyst
  Codementor.io, Remote
  Jan 2021 – Dec 2021
  Provided on-demand mentoring, code review, and long-term coding services related to data analysis and data science in the Python ecosystem.
  Code Mentor Profile

• Contract Data Analyst
  Intel, Hillsboro, OR
  Apr 2021 – Jun 2021
  Engaged in API usage and web scraping with Python to collect cloud service cluster pricing data, cross-referencing the data with specific Intel ICs for market value estimates.

• Contract Data Analyst
  Intel, Hillsboro, OR
  Feb 2019 – Jul 2019
  Consolidated data from multiple XML files into a single JSON file, deployed a Flask application to serve this data, and implemented search functionality. Used NLP for text matching, tested code in Jupyter Notebooks, and cleaned unstructured text data.

• Contract Validation Engineer
  Intel, Hillsboro, OR
  Apr 2017 – Oct 2018
  Ethernet adapter validation was a key task in the project, involving the creation of test plans, conducting tests on network cards, and automating data analysis using Python and Excel. New waveform post-processing automation was written and implemented using Python, Jupyter Lab, and Pandas, which organized test data, produced waveforms, and analyzed them. This automation was capable of handling a large volume of data, generating over 1500 waveform figures from 1.7 billion+ rows of data. Additionally, Excel tasks were automated as part of the project.

Certifications

• See Certifications

Projects

• Cybersecurity Portfolio: Hands-on projects from the Google Cybersecurity Certificate, covering threat detection and incident response.
• Excel Automation with Python: Demonstrating Python’s capability in automating Excel tasks like creating pivot tables for recurrent reports.
• Machine Learning with scikit-learn: Utilized Supervised Learning to predict Persons of Interest from the Enron Dataset.
  • Project Summary
• Data Visualization with Tableau: Storytelling and highlighting trends and patterns in datasets through Tableau dashboards.
  • Titanic Survival Tableau Dashboard
• Wrangle OpenStreetMap Data: Cleaned and audited OpenStreetMap data using Python and SQL to prepare for analysis.
  • Project Report
• Investigate Titanic Dataset: Analyzed the Titanic dataset to identify factors that influenced survival rates.
  • Titanic Missing Data Imputation Comparison
• Stroop Effect Reaction Time Analysis: Analyzed the Stroop Effect dataset to determine if there is a significant difference in reaction times between congruent and incongruent word-color pairs.

Volunteer Work

• Stack Overflow Volunteer Contributor
  Contributed over 6000 hours to Stack Overflow, providing custom coding solutions and enhancing the knowledge base for a global community of developers.