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eojedar0601

Elizabeth Ojeda

@eojedar0601

Lead Market Intelligence and Data Extraction Specialist

Mexique
Espagnol, Anglais
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

e
eojedar0601
Elizabeth Ojeda
hors ligne • 

Voir mes services

Scraping de données
I will audit saas competitors and build pricing matrices
De150 $US / projetPlus de détails

Portfolio

Expérience professionnelle

LinkedIn

Lead Market Intelligence Specialist

LinkedIn • Freelance

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.

Upwork

Market Intelligence & UX Researcher

Upwork • Freelance

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.

Columbia_University

Forensic & Academic Data Assistant

Columbia University • Temps partiel

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.