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Oulachyov Magomed

senior data scientist

Barcelona, España

  • 41.3828
  • 2.1774
  • Tarifa aproximada 500€ / día
  • Experiencia 2-7 años
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  • E-mail no verificado


Habilidades (48)

Oulachyov en pocas palabras

Serious and very ambitious Data Scientist/Engineer looking for a new contract in Deep Learning (NLP or Computer Vision) or Big Data. The ideal mission would be to join a great team and project with an opportunity to share my ideas and have some impact on. Being autodidact and driven by the art of algorithms applied to data, I am continuously acquiring new skills in data science/engineering.

The recommendations from previous clients on my French Malt profile.


enero de 2013 - mayo de 2014 | Belfort, Francia


Faurecia R&D

Costing Data Analyst

Core objective
Understand buy and sell market sides, and production processes of exhaustive line to apply machine learning

Collect publicly available data (INSEE, OECD, ECB)
Creation of databases by collecting data from Commodity Leaders, Financial Controllers and Costing Analysts Treating and processing data

Machine learning
Analyse the residuals of commodities
Analyse components of exhaustive line
Cluster the plants of Europe Division by the P&L components Predict price of commodities
Cluster exhaustive lines
  • Excel
  • VBA
  • R
  • PCA
  • Time Series Analysis
junio de 2014 - diciembre de 2014 | Viena, Austria

High tech

Smart Engine

Big Data Analyst

Core objective
Development and application of machine learning algorithms to increase ROI of advertising campaigns

Machine learning
Treating and processing data
Customer segmentation to understand the key differentiators that divide customers into the groups Scoring model to identify prospects of products or services
Time series analysis to understand and predict monthly sales
Jun 2014 Dec 2014

Collaboration with a group of researchers from the University of Vienna on the CVAST software that detects different patterns and makes visual and reported descriptive analysis and clustering
septiembre de 2015 - octubre de 2016 | Viena, Austria

High tech



Core objective
Develop a smart platform with automated supervised machine learning algorithms working with one click

Machine learning automation
Process and treat data before passing to the second stage of algorithm Apply supervised algorithm to the processed data
Deliver full report of results Deliver reusable trained model Continuously apply new ideas and optimise algorithms

Clients connection
Understand the client’s business POC
Connect client’s data via API to the smart platform
noviembre de 2016 - noviembre de 2017 | Estrasburgo, Francia

High tech

Fason and Mymarshrut


Online marketplace that connects you with personal stylists to find a look that fits your image and tastes, while optimising your time and budget

P2P online marketplace of long-distance transportation

Web development
UX and UI
Responsive UI
Back-end development with Node.js

Online marketing
Social ads content testing Mailing A/B tests Facebook Ads
Google Ads
Mass Mailing

Cold-calls aux stylistes personnels indépendants et écoles de la mode Récolter le feedback des utilisateurs afin d’améliorer le service
abril de 2018 - enero de 2019 | París, Francia


Bouygues Energies & Services

Web Developper - Freelance Consultant

Core objective
Development and optimisation of Facility Management web application

Discover and master Planon DOM architecture to integrate BYES interface (PV5) Revise the functional JavaScript to remove existing bugs
Perform functional JavaScript
Develop JavaScript methods configurable for each client
Industrialisation of PV5 deployment
PV5 configuring tool development and UX/UI creation (for sales team)

Improve existing UX /UI and develop it

Create UX and UI look and feel design from scratch
Integrate to functional JavaScript
Develop Progressive Web Application (PWA) with auto-connection Integrate QR code reader to Planon

REST API Connection to PV5
febrero de 2019 - julio de 2019 | Estrasburgo, Francia

Banca & seguros

Fondation Crésus

Senior Data Scientist - Freelance Consultant

Core objective
Integrate machine learning and deep learning algorithms to BGV (Budget de Grande Vitesse). BGV is a platform to manage budget with all incomes and expenses (including social aids, income taxes, etc) in more innovative way.

An algorithm completing any classification tasks automatically with Data Engineering and Parameters Optimization Drop duplicates, infinite values, target missing values
Create estimators for input features and fill missing data if necessary
New features creation from missing data and time object
Converting categorical features and cardinal categorical features Relevant features selection with Null Importance
Cross validation and optimisation of hyper parameters
Train model with optimized parameters
Prepare and save an object with estimators for missed values, new input features and trained model for predictions

Documents recognition
Prepare data with images treatment
Documents labeling manually and with features extraction + clustering Optimization for multiprocessing training with NVIDIA DGX Station Data augmentation
Benchmark CNN models
Documents classification
Signature detection on a document to automize validation process Prepare both models for production


  • Candidiate CFA Level 2



    Core elements: Ethical and Professional Standards, Quantitative Methods, Economy, Financial Reporting and Analysis, Corporate Finance, Portfolio Management, Equity and Fixed Income, Derivatives, and Alternative Investments

  • MSc in Econometrics and Statistics

    Faculty of Economics Sciences and Management, University of Strasbourg


    Erasmus Exchange at Vilnius University (3d semester)

    Core elements: Time Series Analysis, Method of Monte-Carlo, Bootstrap, and Scoring, Quantitative Methods for Portfolio Management, and Quantitative Marketing

  • BSc in Economic Analysis

    Faculty of Economics Sciences and Management, University of Strasbourg


    Core elements: Monetary Economics, Macroeconomics, Microeconomics, Economic Integration, Determinants of Economic Growth, and Theory of Game


  • Inglés

    Competencia profesional completa

  • Francés

    Bilingüe o nativo

  • Ruso

    Bilingüe o nativo

  • Alemán

    Competencia profesional básica

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