Data & Automation Specialist
joseph.ergo@proton.me | Portfolio | Resume PDF | Linked-In | +212 713-617-633
Rabat, Morocco (Open to Remote Worldwide)
Versatile, self-taught Data Specialist with a proven track record of delivering data-driven intelligence for CEOs in the US, UK, and UAE.
Expert in transforming complex, unstructured information into actionable business insights through custom Python automation and large-scale web scraping.
Known for a security-conscious approach to end-to-end project management and a "hands-on" technical mindset.
Lead Generation & Pipeline Automation: Engineered an automated data pipeline to scrape and structure a database of 100,000+ target institutions for a user acquisition initiative.
Data Enrichment & Segmentation: Enhanced raw data to identify high-value communication channels (Whats-App, direct scheduling links), allowing the sales team to prioritize the most effective outreach mediums.
Speed-to-Lead Optimization: Streamlined the
initial outreach phase by delivering actionable datasets, equipping the
team to initiate high-impact first connections and drive sign-ups.
Data Sourcing & Verification: Sourced and documented answers from official publications, supplementing research by directly contacting municipal authorities for clarification.
Quality Assurance: Peer-reviewed and validated research submitted by other contributors to ensure consistency and maintain data integrity.
Team Recognition: Recognized as a contributing
researcher on the organization's official team
page.
Technical SEO Auditing: Developed automated Python scripts to audit websites for technical health, identifying critical issues like 404 errors, duplicate content, and keyword cannibalization.
Data Strategy & Visualization: Tracked project progress and effectively communicated actionable insights to stakeholders by presenting findings and proposing new initiatives.
End-to-End Data Collection: Managed data
collection projects by building targeted contact lists for outreach and
aggregating business data for web applications.
Systemic Error Identification: First to discover and document a systemic geolocation error placing over 100,000 U.S. businesses in the ocean during Exploratory Data Analysis (EDA).
Data Pattern Recognition: Identified that approximately 73% of the affected businesses shared a single anomalous coordinate [46.4°N, 129.9°W].
Industry Publication: Featured in the industry blog GoogleMapsMania - American Business is All at Sea.
Learn More: Link
Big Data Processing: Engineered a local data pipeline to process and structure 1.4 TB of unstructured data using DuckDB.
Actionable Reporting: Enabled the generation of custom reports on company hiring trends, talent networks, and employee career trajectories.
View Example: Link
Programming & Databases: Python, SQL (DuckDB), R, Bash.
Data Engineering: Pandas, Polars, DuckDB, NumPy.
Extraction & Automation: Selenium, Beautiful Soup, Requests, OpenCV.
Technical Environment: Debian (GNU/Linux), GNU Emacs, Git.
Software & Visualization: Microsoft Excel, Google Sheets, Canva.
Core Practices: Data Privacy, Security-Conscious
Development, EDA.