Data Analyst | Data Scientist | Python Ingest Automation | Python, Pandas, Data Visualization | Machine Learning

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

Summary

I am a seasoned professional with a Bachelor of Science in Electrical Engineering and over 12 years of experience in electrical hardware testing, hardware test automation, and data analytics. My career has been driven by a relentless curiosity, a strong foundation in critical thinking, and an unwavering commitment to problem-solving. These skills have enabled me to excel in providing timely, effective solutions using Python for tasks ranging from data collection and wrangling to analysis and visualization.

My engineering mindset fuels my dedication to stay abreast of the ever-evolving landscape of data science and analytics. I am passionate about tackling challenging problems, delivering data-driven insights, and continually broadening my skill set and knowledge base.

In essence, I bring to the table a unique blend of technical acumen, problem-solving expertise, and a fervent zeal for knowledge enhancement. My proficiency in leveraging the Python data science software ecosystem positions me ideally to deliver exceptional outcomes in data analysis, visualization, and effective storytelling.

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

Knowledge

• Critical Thinking and Problem Solving
• Python
• Data Science & Analytics
• Scikit-Learn
• Data Munging
• Jupyter Lab
• PyCharm
• Pandas
• Numpy
• Visualization: Matplotlib, Seaborn, Bokeh, Plotly
• SQL: PostgreSQL, MSSQL
• ETL
• Electrical Hardware Testing
• Electrical Engineering Lab Test Equipment
• Hardware Test Automation with Python

Education

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

Professional Experience

• 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 2018
  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.

Skills

• Programming Languages: Python
• Data Analysis Tools: Jupyter Lab, Pandas, Matplotlib, NumPy, SQLAlchemy
• Data Visualization: Matplotlib, Bokeh, Seaborn, Tableau, Power BI
• IDEs and Tools: JetBrains PyCharm, GitHub, Copilot
• Machine Learning Libraries: scikit-learn, numpy
• Database Management: SQL, MySQL, PostgreSQL, Microsoft SQL Server, ETL processes
• Mathematical Skills: Statistics, Linear Algebra, Calculus, Differential Equations
• Electrical Engineering: Hardware Testing, Signal Integrity Testing, PCIe Routes, RF Matrix, Signal Generators, Oscilloscopes, Agilent ParBERT 81250, AVMC, Medusa Systems, J-BERT, Test Automation

Certifications

• See Certifications

Projects

• 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.