About 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.
English
Native or bilingual
French
Conversational
Can work on-site
Paris (up to 50km)
Experience
- Paris-based Tour CompanyData Scientist - Operations & Growth Analytics | AutomationTRAVEL AND TOURISMMay 2024 - Today (2 years and 2 months)Paris, FranceLed 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 analytics2. Operational automationGrowth 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.
ContributionsLed 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.
- Cerner Enviza SAS (Oracle Cerner)Research Analyst InternRESEARCHSeptember 2021 - February 2022 (6 months)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
- Cadrich Foods Ltd.Project Consultant - Strategy | Financial Modeling | Market ResearchAGRICULTUREOctober 2017 - May 2020 (2 years and 7 months)Accra, GhanaSupported 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).
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Education
- Master of Science Data ManagementUniLaSalle - Rouen Campus2022Master of Science Data Management
- Bachelor of ScienceUniversity of Ghana2016Bachelor of Science Agribusiness