Data-Driven Analyst with Automation Focus

Mael Le Scouezec

Germantown, MD • 802-***-**** • ***********@*****.*** • linkedin.com/in/lescouezec

Detail-oriented analyst with a strong foundation in data science, finance, and process automation. Adept at translating complex data into actionable insights and cross-functional solutions. Recent graduate from Boston University with a Master’s degree in data science, with academic experience developing AI agents and machine learning algorithms to solve real-world business problems.

EDUCATION

Boston University

M.S. in Data Science (Jan 16th 2026)

Massachusetts Institute of Technology

B.S. in Business Management (Jun 2020)

EXPERIENCE

Revenue and Billing Analyst

Wagmo, Jul 2024 – Jun 2025, Remote (New York City, NY)

Led monthly invoice reconciliations, identifying and resolving discrepancies—most notably correcting a $25,000 mismatch between internal billing and client-submitted file feeds.

Investigated large fluctuations in client enrollment data to inform business decision-making and calculated payments owed under marketing partnership agreements, ensuring timely and accurate disbursement.

Designed and implemented automation tools to streamline reconciliation tasks, including file downloading, parsing, and validation.

Contract Data Automation Consultant

Freelance, September 2022 – January 2024, Remote (Cambridge, MA)

Built custom automation tools to streamline client scheduling and processing, improving service speed and reducing manual work.

For example, designed and maintained a robust web scraper for Disability Rights Vermont, automating the retrieval of court dates and times to support client scheduling—adapting the tool through multiple website structure changes.

Communicated technical updates clearly to non-technical stakeholders, ensuring solutions remained aligned with evolving user needs.

Consultant Analyst

Chartic, Jul 2021 – Aug 2022, Cambridge MA

Leveraged advanced analytics to support C-suite decision-making. Conducted in-depth research, built financial models (primarily in Excel and Python), and prepared insightful reports for executive-level clients.

Delivered impactful analyses across various projects, including:

oMarket demand forecasts: Justified business expansion strategies by analyzing market trends and customer demographics.

oPotential acquisition assessments: Performed due diligence through detailed financial modeling and market research.

Demonstrated strong project management skills by juggling multiple projects concurrently. Maintained meticulous records of drafts, presentations, and meetings for each project, ensuring efficient communication and collaboration.

Investment Analyst

The Rock Group, Nov 2018 – Jun 2021, Remote (Bangkok, Thailand)

Leveraged market research and financial analysis to identify undervalued securities, contributing to a 16% annual return on investment (ROI) for a low-risk value investing strategy.

Developed and implemented investment plans aligned with value investing principles, ensuring portfolio stability and growth. Presented and communicated iterations of these plans to senior management.

Analyzed option spread strategies to effectively mitigate risk and enhance portfolio performance.

SKILLS

Data Analysis & Modeling – Proficient in Python with libraries such as Pandas, Scikit-learn, CVXPY, and Facebook Prophet for statistical modeling, forecasting, and optimization. Experienced with TensorFlow and Keras for building and training machine learning models.

Data Engineering & Infrastructure – Skilled in working with SQL and ETL pipelines, with hands-on experience in Azure for cloud-based data management and deployment.

Visualization & Reporting – Adept at translating complex analyses into clear insights using tools like Tableau and Power BI, with additional experience in R for statistical computing.

Software Development Practices – Familiar with Git/GitHub for version control and collaboration, and capable of extending solutions with JavaScript where appropriate.

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