Data Scientist
GAC
Total years of experience :5 years, 4 Months
Data analysis to find patterns in data. Machine Learning Project on Time
Series Forecasting for Finance, Sales, Shipping and Logistic, Customer Classification, RFM model, Customers Churn prediction, NLP for Resume recommendation and Route optimization.
Model Evaluation and deployment in production.
Interface with business stakeholder and digital project managers to prioritize and speed up the projects.
Using technologies as Python, SQL, Databricks, Power BI, Cloud Providers (AWS, Azure), Tableau.
Creating data pipeline ETL with python cloud tools of AWS, Azure and GCP.
Deploying application with Docker. Data Analysis and Dashboards/Visualisations (Power BI, Tableau, seaborn, matplotlib). Create and work with SQL and No SQL Databases. Automations with python. Working with NLP to find word similarities to recommend the right product to the customer. Use of knowledge graphs to identify associations and connections between type of products, products and accessories.
Informatics (C++), Economics, Physic, Statistic, Maths and Management