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Elizabeth Ojeda
@eojedar0601
Lead Market Intelligence and Data Extraction Specialist
Mexiko
Spanisch, Englisch
Über mich
Lead Market Intelligence Specialist specializing in automated data extraction, custom Python algorithmic processing, and deep competitive auditing.
My workflow leverages automated DOM extraction, high-performance data processing in Google Colab exported to precise .tsv formats, and 11-column taxonomy matrices. I transform chaotic market data into structured corporate intelligence to drive pricing strategy.
Operating under a 100% asynchronous communication model. All project requirements and briefs are managed strictly via written documentation.
Kompetenzen
Elizabeth Ojeda
offline •
Meine Dienstleistungen
Daten-Scraping
I will audit saas competitors and build pricing matrices
Portfolio
Arbeitserfahrung
Lead Market Intelligence Specialist
LinkedIn • Freiberufler
Jan 2024 - Present • 2 yrs 10 mos
Lead the end-to-end design and execution of high-value market intelligence and competitor pricing matrix architectures for B2B SaaS and E-commerce brands. Key Responsibilities & Frameworks: • Develop automated DOM extraction workflows using Advanced Data Scraper systems to audit complex digital infrastructures. • Architect custom algorithmic data processing scripts in Python (Google Colab) to clean, standardize, and export chaotic market data into unified .tsv formats. • Deliver comprehensive 11-column competitive taxonomy matrices mapping precise subscription structures, hidden transaction fees, and pricing models. • Mitigate strategic risks for corporate clients through deep data discovery and structural benchmarking.
Market Intelligence & UX Researcher
Upwork • Freiberufler
Feb 2024 - Oct 2026 • 2 yrs 8 mos
Executed structured competitive benchmarking, mystery shopping operations, and transaction auditing for US and Mexico digital finance ecosystems. Key Contributions: • Managed end-to-end data cleaning pipelines, converting unstructured consumer journeys and multi-channel ledger logs into clear, auditable matrix frameworks. • Analyzed credit flows, loan processes, ad valorem processing structures, and interchange fee models across primary fintech products to isolate competitive pricing strategies. • Validated raw text files, product information, and multimedia data captures using evidence reference systems to ensure data traceability.
Forensic & Academic Data Assistant
Columbia University • Teilzeit
Nov 2015 - Dec 2024 • 9 yrs 1 mo
Applied strict scientific methodologies for systematic evidence collection, complex data documentation, and structured analytical reporting. Key Contributions: • Developed rigid research and documentation protocols for processing large volumes of unstructured qualitative and physical information, ensuring absolute data integrity. • Analyzed complex datasets and multi-source observations to identify underlying behavioral, statistical, and historic patterns. • Maintained detailed record-keeping systems and generated auditable, high-precision reports.
