About
Analytics and Data Science professional with 15Y+ experience, working in several industries like Marketing, Programmatic, Connected TV, Pharma, Banking, Logistics, and consultancies. I leverage my expertise in data-driven decision-making processes and strategic insights, creating actionable data pipelines and analysis that promote growth; I've worked in multinational companies as both as an individual contributor and leading roles, relating to international clients and peers from US, France, Pakistan, India, Egypt, Nigeria, Morocco. Contact me about opportunities to leverage advanced data science techniques, dashboard development and data engineering.
Projects
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Analysis, Segmentation and Prediction for a Food Markeplace Company
Helping a food retail company to optimize its direct marketing strategies, increasing profitability and better targeting customers likely to purchase specific products. Use of KMeans and Random Forest Classifier models.
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Credit Card Fraud Detection
Usage of logistic regression and ensemble approachs, by progressing from Logistic Regression to Random Forest to XGboost. A comparison and ultimate choice of the model that best fits for the problem of fraud detection are provided.
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Analysis of A/B tests with statistical foundation
Using Python, I show how to run conclusions backed up by statistical concepts, to find if differences within groups in determined measures and KPIs are significant. I explain the difference between continuous measures and proportions and the correct approach on how to compare each, either using T-Test or Z-Test
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K Means for Auto Binning
This Jupyter Notebook exemplifies a versatile way of using K-Means to auto binning a dataset. Then compares to other more traditional methods.
