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Charles Woedem AfeavoCW

Charles Woedem Afeavo

Data Scientist - Analytics | Automation | Modeling

300 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Charles Woedem

Data Scientist & Strategy Consultant specializing in operations optimization, growth analytics, and automation systems.

I help startups, SMEs, and impact-driven organizations turn raw data into clear business decisions, measurable growth, and scalable operations.

Based in Paris, I work as a freelance data scientist and strategy consultant across tourism, agrifood, healthcare research, and data-driven organizations, delivering end-to-end solutions that reduce manual work, improve operational efficiency, and support sustainable scaling.


What I bring to your project:
  • Data Analysis & Modelling: predictive models, statistical analysis, and machine learning (Python, scikit-learn, XGBoost) that surface actionable insights from complex datasets.
  • Dashboard & Reporting: interactive dashboards and automated reporting systems that give founders and managers real-time decision-ready visibility.
  • Workflow Automation: process automation, AI-driven workflows, and custom internal tools that eliminate repetitive work and reduce operational overhead.
  • Market & Business Research: market research, competitive analysis, feasibility studies, and investment-readiness, financial modelling (NPV, BCR, sensitivity analysis).
  • Growth & Operations Strategy: translating data into go-to-market strategy, pricing models, revenue projections, and operational playbooks for early and growth-stage teams.


I work closely with founders, product managers, and operations leads, taking ownership of problems end-to-end, from structuring ambiguous business questions to building models, tools, and systems that directly improve revenue, efficiency, or product performance.


Open to: freelance missions, consulting engagements, and part-time advisory roles with product-driven teams where data and AI directly influence core business decisions.
  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle limitée

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Paris-based Tour Company
    Data Scientist - Operations & Growth Analytics | Automation
    VOYAGE & TOURISME
    mai 2024 - Aujourd'hui (2 ans et 1 mois)
    Paris, France
    Led the end-to-end transformation of operations and growth strategy for a guided tour company experiencing a sharp decline in bookings and major operational inefficiencies.

    Problem (MECE-styled Root Cause Analysis):

    The company relied heavily on a single OTA platform and manual coordination between booking exports, guide assignments, guest check-ins, and daily reporting. This created bottlenecks, errors, and zero visibility into operational performance.

    Mission and Actions: Structured the problem into two layers:
    1. Growth & channel analytics
    2. Operational automation


    Growth Analysis:
    • Benchmarked competitors across multiple OTA platforms to identify channel diversification gaps.
    • Analyzed booking trends, review velocity, seasonality patterns, and channel dependency and concentration risk.
    • Recommended and helped implement a multi-channel expansion strategy.

    Operations Automation (Core Build):
    • Designed and built an automated check-in system that imports and normalizes booking data, completes guide assignment, tracks real-time check-in status, generates per-guide summaries, and operational metrics.

    • On the backend, I built structured data flows using Google Apps Script and database-style logic with: deduplication logic, case-insensitive normalization, concurrency locking, and dynamic summary updates.

    Contributions

    Led everything end-to-end: problem structuring, data modeling, automation architecture, scripting, debugging race conditions, UI flow design, and deployment.



    Results
    • Reduced single-OTA dependency risk.
    • Restored booking flow after a near-zero revenue period.
    • Introduced a data-driven growth monitoring framework, driving 81% booking growth, 36% bookin-to-review conversion, and 116% review growth in 4 months.
    • Automated system eliminated manual reconciliation, scaled to handle 1K+ records.
    • Reduced operational friction
    • Enabled real-time visibility into daily operations.
    IA et analyse de données automation Benchmark Data science Python
  • Cerner Enviza SAS (Oracle Cerner)
    Research Analyst Intern
    CENTRES DE RECHERCHE
    septembre 2021 - février 2022 (6 mois)
    Paris, France
    • Supported the design and execution of a cross-sectional study, achieving 100% target sample recruitment through online panels and patient advocacy groups, ensuring statistical power for comparative cost analysis.
    • Analyzed 1,300+ participant dataset across 3 EU countries using R and regression modeling, quantifying 1.5-1.8× cost burden to inform client's market access and product launch strategy.
    • Developed cost-of-illness framework, identifying 50%+ of costs as non-medical burden to inform client's payer value proposition.
    • Built regression models, isolating disease economic impact while controlling for confounders, providing statistical evidence for reimbursement negotiations and HTA submissions
    Data Management Statistical Data Analysis Health Economics Analysis Data visualisation Research
  • Cadrich Foods Ltd.
    Project Consultant - Strategy | Financial Modeling | Market Research
    AGROALIMENTAIRE
    octobre 2017 - mai 2020 (2 ans et 7 mois)
    Accra, Ghana
    Supported SME founders with market research, business planning, financial modeling, and investor readiness, from concept validation through early growth.

    • Structured a comprehensive business and financial feasibility analysis for an early-stage agro-processing venture, translating a product concept into an investment-ready business case.
    • Synthesized qualitative market insights and quantitative financial outputs into a decision-support framework that clarified capital requirements, scale options, and key risk drivers for investors and stakeholders.
    • Developed advanced investment appraisal models (NPV, BCR, scenario/sensitivity analysis at 18% discount), equipping executives with robust decision frameworks.


    Results & Business Impact:

    • Delivered decision and investment-ready analysis and insights, including business plan, financial summaries & pitch decks.

    • Successfully raised 25% capital requirements through government-backed SME financing (NBSSI).
    Financial Modeling Business plan Market Research & Competitive Analysis Business Strategy Strategy Consulting

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Formations

  • Master of Science Data Management
    UniLaSalle - Rouen Campus
    2022
    Master of Science Data Management
  • Bachelor of Science
    University of Ghana
    2016
    Bachelor of Science Agribusiness

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