Data Quality Analyst & Researcher
Data Research Company
🇺🇸 Manhattan, New York
📅 July 2018 → July 2019
(1 year 1 month)
$ echo $IMPACT_METRICS
60%
More Throughput
40%
Less Manual Work
$ cat tech-stack.json
🔧 Supporting Stack
☁️ Infrastructure & DevOps
$ cat README.md
At Data Research Company, I was instrumental in analyzing, validating, and ensuring integrity of critical data sets gathered from diverse online sources. I developed sophisticated scrapers to automate data collection.
$ git log --oneline responsibilities/
Designed web scrapers with Python and Node.js integrating OAuth and session authentication
Conducted data validation and quality checks for accuracy
Built data transformation pipelines standardizing diverse formats
Automated reporting workflows with Pandas and Jupyter Notebooks
Delivered insights through Excel and Tableau integration
$ grep -r "achievement" ./
Increased data collection throughput by 60% while maintaining quality
Reduced manual data cleansing by 40% through pipeline automation
Delivered high-quality reports influencing business decisions
$ cat details.md
Data Engineering Foundations
This role developed my skills in:
- Data pipeline design for automated collection
- Quality assurance for data integrity
- Automation reducing manual processes
- Analytical reporting for stakeholders
Related
Technologies: Python, PostgreSQL
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