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Rayane D.RD

Rayane D.

Data scientist/analyst - R Python SQL

€700/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Rayane

Data scientist - Expertise in econometrics, finance, and climate.

Engineer from ENSAE Paris and graduate of ESCP, I am an expert in data science and econometrics witha specialization in financial and climate-related topics.

I have acquired a dual technical skill setin data science and econometricsas well as **in project management**, reinforced by co-founding an award-winning fintech, which allows me to provide tailored and autonomous solutions.

My experience withinprestigious institutions(Court of Auditors, UN, Bank of France) guarantees a high level of demand and rigor for each mission.

My skills and areas of expertise in summary:

1. Data science:
Programming in R/Python/SQL;
Building data pipelines;
Processing large volumes of data (batch processing, Parquet format, Dask package etc.);
Processing geocoded data (GIS) with PostGis, Geopandas, or SF within the framework of climate analyses in particular (physical climate risks, geo data).

2. Econometrics:
Descriptive statistics;
Causal inference: linear/logit/lasso regressions, Diff in Diff,
Forecasting: time series (ARIMA);

3. Machine learning:
NLP: web scraping, PDF parsing/OCR, sentiment analysis, topic modeling, fine-tuning GPT;
Supervised classification algorithms (SVM, K-NN etc.) and unsupervised (K-means, PCA etc.)
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Cour des comptes
    Data scientist - Economist
    PUBLIC SECTOR
    January 2022 - Today (4 years and 5 months)
    Paris, France
    The Court of Auditors is an independent institution that oversees the use of public finances, evaluates the effectiveness of public policies, and ensures budgetary transparency through its reports.

    🏆 Key Contributions:
    - Estimation of the default risk of beneficiaries of State-guaranteed loans (logit regression model);
    - Development of a tool for calculating financial indicators (Revenue, profitability etc.) using large data processing and optimizing processing time (using batch calculation methods and Parquet format data);
    - Evaluation of the causal effect of a support scheme for farmers on their Gross Operating Surplus using an econometric model of Diff in Diff and linear, instrumental, and logistic regressions.

    📚 Skills and technologies:

    👨‍💼 Soft skills
    - Ability to simplify technical concepts (econometrics, data science) for a non-expert and high-level audience (economists, department directors);
    - Diplomacy and interpersonal skills to manage priorities and meet deadlines.

    💻 Technical skills
    - Enhancement of my econometrics skills (probit regression models, Bayesian estimation)
    - Acquisition of in-depth knowledge in corporate finance, accounting, public economics, and statistics.
    Econometrics Data science Statistical data analysis R Scikit-learn
  • ONU
    Data scientist - Auditor
    PUBLIC SECTOR
    March 2023 - Today (3 years and 3 months)
    Paris, France
    Participation in the UN audit mission by France, particularly concerning peacekeeping programs (Blue Helmets) and the UN Development Programme (UNDP):

    🏆 Key Contributions:
    - Querying business databases (finance and human resources) and cross-referencing them to calculate key indicators;
    - Text classification using an NLP model (GPT) via Python, by scraping UN documents (using Beautiful soup);
    - Time series forecasting (ARIMA) of financial indicators.

    📚 Skills and technologies:

    👨‍💼 Soft skills
    - Ability to quickly solve problems by adapting solutions to time and resource constraints, with an iterative approach to refine deliverables;
    - Ability to simplify technical concepts (econometrics, data science) for a non-expert and high-level audience (UN administrators) in an English-speaking environment.
  • Banque de France
    Data scientist - Economist
    PUBLIC SECTOR
    June 2020 - March 2023 (2 years and 9 months)
    Paris, France
    The Bank of France is the French central institution, responsible for monetary policy, financial stability, and banking supervision.
    Missions within the Monetary Policy Department of the Bank.

    🏆 Key Contributions:
    - Development of an NLP model (PDF web scraping, PDF parsing then NLP classification model) to create a market risk indicator;
    - Econometric modeling (probit regression) to predict the effect of the tone of words used by the ECB on financial markets.
    - Estimation work (Bayesian, frequentist etc.) of the natural interest rate on Matlab.

    📚 Skills and technologies:

    👨‍💼 Soft skills
    - Ability to simplify technical concepts (econometrics, data science) for a non-expert and high-level audience (economists, department directors) in an English-speaking environment

    💻 Technical skills:
    - Enhancement of my econometrics skills (probit regression models, Bayesian estimation)

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Education

  • Engineer's degree in Economics-Statistics
    ENSAE Paris
    2021
    Cycle ingénieur économiste-statisticien
  • Master of Management
    ESCP Business School
    2020
    Master in Management

Skill set

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