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1

data scientist

  • Scraped data from real estates sources
  • Built outlier detection, clustering models
  • Created model for buy/rent price prediction
  • Prepared R shiny web application for model usage
2

data scientist

  • Handled design, modelling and deployment for a NLP project to automate resume parsing. 
  • Developed case study on Attention Models and SOTA architecture BERT
  • Developed various Machine Learning, Deep Learning and Artificial Intelligence activities as part of the course material
  • Taught lectures to nearly 100 professionals in the range 0-25 years of experience.
3

data scientist

  • Used data mining and data cleaning techniques to analyze job posting descriptions
  • Used Python to parse keywords from a self-created dictionary to determine specific trends in Computer Science jobs such as popular programming languages, more need for soft skills, etc.
  • Performed Machine Learning algorithms (Linear Regression, Clusters) to determine future trends in the field
  • Experienced using many Python Data Science and Machine Learning libraries such as Pandas, Numpys, Seaborn, Scikit Learn and Matplotlib
4

data scientist

  • Build Attribution and Prediction Models using Time Series , Regression and other Machine Learning techniques to support the IB research analysts
  • Build R Shiny applications- For Campaign Analytics, Data Quality Monitoring – which results into efficient functioning and time saving
  • Survey Analysis using bespoke analysis methodologies
  • Optum Deep Vision(Intelligent Character Recognition):
5

data scientist (stage)

  • Etude des mécanismes de transparence publicitaire de Facebook et de Twitter.
  • Développement d’une plateforme pour l’audit des annonces publicitaires fournis par les médias sociaux.
  • Développement d’un outil de visualisation des données et Analyse statistique des annonces
  • Platform lead for 3 of the company’s software development projects involving SQL Server, MySQL and ParAccel (Actian Matrix)