Hi. I'm Miradain Atontsa.

I obtained my PhD in mathematics (in Algebraic Topology ) at UCLouvain. Previously, I was Teaching Assistant in mathematics at UCLouvain. Here is my cv .

I apply mathematics on real world data (data science) and in finance.

Learn about what I do

Here's all the stuff I do.

Data Science

  • Machine Learning
  • Recommender Systems
  • Statistical Data Analysis

    • Finance

  • Risk Management
  • Portfolio Optimisation

    • Topological Data Analysis ( TDA )

    TDA is a novel theory in data science which consists of analysing a data using its shape. It has applications in:

  • Machine Learning
  • Finance

    • Here’s some stuff I made recently.

    Investing on CaC40

    Concepts: TDA, Finance, Enhanced indexing, CVaR

    Environment: Python, R Markdown, Open Data.

    T-Lymphocytes Classification

    Concepts: Machine Learning, Classification, Gradient Boosting, Random Forest, SVM, KNN

    Environment: Python, Jupiter Notebook, R Markdown, Open Data.

    Protein sequence classification

    Concepts: Genomic data, Protein sequence analysis, DBSCAN, Persistent diagram, TDA

    Environment: Python, Jupiter Notebook, R Markdown, Open Data.

    Network optimization

    Concepts: Algebraic topology, Network analysis, Linear algebra, Research

    Environment: published paper

    Contact

    Miradain
    miradain.atontsan@gmail.com

    As a data scientist, I know how you can use your data within your business. Depending on your goal, I will organize and implement a roadmap.

    I am available for:

    Data science projects

    • Data analysis (using statistics or topology)
    • Data visualization (dashboards, bi reports, ...)
    • Machine learning (building models and deployment)
    • Training on mathematical concepts in data science

    Quantitative projects

    • Financial data analysis
    • Data visualization (dashboards, financial report, ...)
    • Portfolio optimization (MPT, TDA, EI, ...)
    • Financial quantitative risk analysis

    Find me on ...