Alexandre Miny De Tornaco

Consultant business intelligence / marketing

Moves to Paris, Paris

  • 48.8546
  • 2.34771
  • Indicative rate €500 / day
  • Experience 0-2 years
  • Response rate 100%
  • Response time 2h
Propose a project The project will only begin when you accept Alexandre's quote.

Availability not confirmed

Part time

Propose a project The project will only begin when you accept Alexandre's quote.

Location and geographical scope

Paris, France
Can work in your office at
  • Paris and 50km around
  • Paris


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
Company size
  • 2 - 10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
  • 1000 - 4999 people
+1 autres



  • Français

    Native or bilingual

  • Anglais

    Full professional proficiency

  • Néerlandais

    Limited working proficiency

Skills (25)

Alexandre in a few words

Ayant étudié en commerce à HEC puis en Data Sciences à l'Ecole Polytechnique, je pense que je veux vous aider pour deux raisons:
- Premièrement, la compréhension des enjeux business permet de cibler et de comprendre au mieux les problèmes auxquels l'entreprise fait face.
- Deuxièmement, la méthodologie scientifique permet de construire des modèles mathématiques afin d'y faire face pour ensuite les programmer et les résoudre.

Concernant mes expériences, j'ai réalisé trois missions Data. La première consistait à optimiser l'envoi de promotions afin de maximiser la marge générée par l'entreprise, la deuxième consistait à scrapper des avis clients afin d'améliorer leurs expériences et la dernière consistait à analysers les challenges d'une transformation digitale au sein d'une grande entreprise. Ces missions m'ont appris à travailler de façon agile, autonome et à justifier chacune de mes actions via la data à ma disposition.


Eleven strategy

Consulting & Auditing

Data Scientist

September 2019 - September 2019

- Prediction of accurate taxi time prediction for airplanes
- Use of CatBoost/XGboost/Lightgbm
- Work on the interpretability of the algorithm's outputs
- Business recommandations based on the results
- Business presentation

Capgemini Invent - Capgemini Organisation

Consulting & Auditing

Data Scientist

January 2019 - March 2019

- Diagnosis and proposals on the Data Strategy of a major account
- Scrapping and use of NLP/NLU algorithms
- Strategic recommendations based on data


Consulting & Auditing

Machine Learning Researcher Intern

Paris, France

March 2019 - July 2019

Took part in a reflection process to provide a way for companies to personalize CRM promotions:
- Optimized and refactor a model on Scala for large and distributed computations with Spark.
- Assessed model's relevance with methods such as correlation analysis and PCA. Assessed the modelling part with business sense to provide the best models for the client.
- Designed a new methodology on pyhton Jupyter Notebook: from the features engineering to the final statistical models.
- Used and assessed three algorithms: Logistic Elastic Net Regression, Random Forest and Gradient Boosting.
- Optimized the models with the DART algorithm ( and ADASYN oversampling (


Health, Wellness & Fitness

Right-hand to the CEO

San Francisco, États-Unis d'Amérique

February 2018 - July 2018

French Tech start-up composed of 10 people that reinvents at-home oral care
- Worked from the Refiners incubator on the product development as well as on the business strategy (designed the user support, structured the organisation and managed the operations & logistics)

Degroof Petercam

Consulting & Auditing

M&A Analyst Intern

Paris, France

September 2017 - February 2018

- Realizing valuation works: LBO, DCF, Trading and Transaction multiples
- Preparing marketing presentations: Pitch book, Information Memorandum, Management Presentation
- Participating in several mandates: M&A, IPO, ECM and DCM

Aurélien Rivet - Capgemini Invent


Alexandre has demonstrated real expertise in the field of data science and proposed relevant and innovative solutions to customer problems. He is a key asset in any team willing to solve business problems with machine learning/deep learning skills.


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