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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)
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