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Ivonne AlvarezIA

Ivonne Alvarez

Economist · Data & AI for Financial Analysis

600 €/Tag
Berlin, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Ivonne

Trained economist with 8+ years of experience applying data and analytical thinking in regulated environments — central banking, BBVA, public sector planning, and international development cooperation (Inter-American Development Bank).

I help organizations bring AI and modern data tools to economic and financial analysis: documenting methodologies for aggregated indicators, integrating new platforms into operational workflows, and translating complex business problems into solutions technical teams can build and stakeholders can use.

Recently built an independent data product implementing WHO LMS statistical methodology using AI-augmented development.

Based in Berlin. Remote-friendly across European and U.S. time zones. Available 20–30 hours/week.

Languages: Spanish (native), English (professional working), German (B1).
  • Spanisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Verhandlungssicher

  • Deutsch

    Grundkenntnisse

Vor Ort möglich
Berlin (bis zu 50 km)

Projekt- und Berufserfahrung

  • ExpertData.io
    Operations Advisor
    DIGITALAGENTUREN & IT-CONSULTING
    Dezember 2025 - Heute (6 Monate)
    Berlin, Germany
    Advisor to an early-stage data company, supporting operational structure and data-driven business setup.

    - Designed internal workflows and operational frameworks for scalable early-stage growth
    - Defined contractual and operational structures aligned with founders' strategic priorities
    - Applied AI-augmented tools to compress operational documentation and process design from weeks to days
    - Provided structured frameworks bridging business strategy and data product execution
    Process Optimization Operations Management AI Automation Business analysis
  • Self-employed
    Independent Projects & Career Transition
    DIGITALAGENTUREN & IT-CONSULTING
    Januar 2023 - November 2025 (2 Jahre und 10 Monate)
    Berlin, Germany
    Active transition period after relocating from Colombia to Berlin in 2022. Combined family settlement, language acquisition, and intentional reorientation of my professional profile toward the European data, product, and AI market.

    Key outputs:

    → Built an independent data product implementing WHO LMS statistical methodology (Box-Cox z-score calculations, rule-based classification engine), using AI-augmented development — applying methodological rigor similar to my work on macroeconomic indicators at DANE to a different analytical domain.
    → Mapped Berlin's AI and data ecosystem — how 8+ years of banking, central banking, and public-sector experience translate into European roles in economic analysis, data strategy, and research.

    Technical & language development:

    → Learned German from zero to B1 in approximately one year.
    → Google Project Management Professional Certificate (Agile, delivery methodologies).
    → Google AI Essentials and applied AI Prompt Engineering training.
    → Data Analytics Bootcamp (in progress) — SQL, Python, data visualization.
    Python AI and Advanced Analytics Data Analytics SQL
  • National Planning Department (DNP)
    Economist — Data Analysis & Strategic Planning
    ÖFFENTLICHER SEKTOR & KÖRPERSCHAFTEN
    Juni 2021 - Dezember 2022 (1 Jahr und 6 Monate)
    Colombia
    Senior economist at Colombia's national strategic planning agency, leading data-driven projects informing regional and national policy decisions.

    - Contributed to a team research initiative on territorial economic analysis, applying statistical and analytical methods to assess regional performance across Colombia's 32 departments and inform national planning decisions.
    - Applied statistical and analytical methods including R for data manipulation and regression analysis to assess regional economic performance.
    - Managed and continuously updated the national statistical data platform that supported this research and broader public-policy decisions, ensuring data accuracy, accessibility, and usability for institutional stakeholders.
    - Built Power BI dashboards for the regional information platform, enabling stakeholders across national and regional institutions to access territorial economic indicators.
    - Co-designed and operationalized the evaluation methodology for a national-level program assessing territorial planning performance; coordinated a panel of 60+ expert evaluators and managed multi-stakeholder communications end to end.
    - Coordinated cross-functional teams (data engineers, analysts, public institutions) to deliver analytical outputs and align stakeholders.
    - Participated as part of the DNP team in inter-institutional coordination meetings with national entities (including DANE) to align on data-sharing agreements to ensure consistency of official statistics.
    - Produced final technical documentation and reports to support institutional knowledge and decision-making processes.
    Economic analysis AI and Advanced Analytics R Power BI Data analysis

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Ausbildung und Abschlüsse

  • MBA
    (Universitat de Barcelona)
    MBA
  • M.Eng.
    (Universidad Nacional de Colombia).
    M.Eng.

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