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Skills

  • Data extraction optimization
  • Communications
  • REST API development
  • Data cleaning and wrangling
  • Team building
  • Organization
  • Python for web scraping
  • Machine learning model integration
  • Project organization
  • First Aid/CPR

Work Experiences

  • Assisted in unlocking $18 in new business opportunities.
  • Automated the extraction of Power BI metadata.
  • Collected data from geographically dispersed servers.
  • Contributed to process.
  • Adapted to the latest security patches.
  • Built a tracking system for HTML structure changes.
  • Applied natural language processing to web-scraped content, driving sentiment analysis and enhancing customer feedback processes.
  • Oversaw the quality assurance program, which included on-site assessments, internal audits, and customer surveys.
  • Avoided IP blacklisting.
  • Had an excellent attendance record and was always on time for work.

Summaries

  • Adhered to method best practices.
  • Achieved efficient data retrieval.
  • Collaborated with cross-functional teams.
  • Contributed to 18% reduction in data acquisition costs.
  • Capable and resourceful professional with significant experience in automating metadata extraction from over 7 sources, streamlining data collection processes.
  • Contributed to long-term forecasting models.
  • Avoided IP blacklisting issues.
  • Adept at reducing server load.
  • Committed to ethical scraping practices.
  • Collaborated with the compliance team.

Accomplishments

  • Documented and resolved program which led to system.
  • Normalized and cleaned scraped raw datasets ensuring 44% alignment with the internal data formats required for analytics pipelines.
  • Implemented a robust logging system for all scraping operations, reducing duplicate data extraction by 52% and saving 4 hours of labor.
  • Utilized VPNs and rotating IP addresses to avoid detection, maintaining a 34% uptime on all scraping operations.
  • Upgraded existing scraping scripts, integrating machine learning algorithms that increased data processing speed by 48%.
  • Automated the process of data extraction across Power BI APIs, leading to a more streamlined workflow and faster data accessibility.
  • Reduced manual data entry by 85% through automation of scraping tasks, leading to a 15 hour reduction in routine operational tasks monthly.
  • Troubleshot scraping failures due to security measures, developing a mitigation plan using proxies and CAPTCHA solvers for continued access.
  • Collaborated on the development of crawling algorithms specifically designed to target highly dynamic and AJAX-heavy web pages.
  • Collaborated with IT security to identify and mitigate scraping vulnerabilities, reducing the risk of IP bans and potential legal issues.

Affiliations

  • Association for Computing Machinery
  • Affiliate, Association for Computing Machinery (ACM)
  • Member of the Web Automation Professionals Network
  • Contributor to Web Scraping open-source projects on GitHub (e.g., BeautifulSoup) 2020
  • Volunteer at the Internet Engineering Task Force (IETF) for web security issues 2019
  • Association of Information Technology Professionals
  • Contributor, Open Source Web Scraping Technologies Forum
  • Certified Data Management Professional from Data Management Association International (DAMA) 2021
  • Active participant of Front-End Web Scraping Enthusiasts Group 2018
  • American Marketing Association

Certifications

  • SQL and Web Scraping with Python Certification – initiative
  • Compliance for Web Scraping Projects (Jurisdiction-based) Certified Course
  • CompTIA Security+
  • Salesforce
  • SHRM Certified Professional (SHRM-CP)
  • Certified Web Scraping Professional (CWSP) by Ironclad Systems
  • Real-Time Crawler Implementation Certification (Python & Scrapy) by initiative
  • Cloud-Based Web Scraping with Microsoft Azure Certification
  • Big Data and Web Scraping Solutions Expert Certificate – Jira
  • Certified Data Analyst with Web Scraping Expertise by Lakeside Partners

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