Data Engineer & Data Scientist (Consultant): Customer Experience Managment @ Orange - Senegal

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Experiences

Extract raw QoE (NPS, resp.) data from HDFS, then transform it and finally save it to the Hive data warehouse via Spark
Explore then prepare QoE data for modeling with Pyspark and Pandas
Predict customer QoE by machine learning with Scikit-learn
Deploy the QoE prediction model as a Flask API and store the results in SQL Server
Automate the retraining of the QoE prediction model at regular monthly intervals (experimentally defined)
Extract Churn data from Hive via Spark, then transform it and finally save it to the Hive data warehouse via Spark
Perform correlation analysis between NPS and QoE (Churn and QoE, resp.) with Pyspark and Pandas, then visualization as a Dashboard with Tableau
Explore then prepare Churn data for modeling with Spark
Develop customer churn prediction models (base, recharge and data) by machine learning with SparkML
Deploy churn prediction models in batch mode via Spark and store results in SQL Server
Automate the retraining of the model at regular monthly intervals (experimentally defined) with Oozie
Report traffic alarms and alerts in real time for the dynamic management of Orange sites
Predict the outages of these sites by machine learning based on the alarms and alerts data
Extract Fibers data from Hive, then transform it and finally save it to the Hive data warehouse via Spark
Develop algorithms for recommending fiber to customers and recommending areas to fiber to Orange with SparkML
Deploy recommendation models in batch mode via Spark and store results in SQL Server
Orchestrate data processing pipelines with Oozie
Stack: Hadoop (HDFS, Hive, Oozie), Scala, Spark, SQL Server, Tableau, Python, Scikit-Learn, Flask

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Fallou Tall

Lead Data Engineer - Azure, Databricks and Google Cloud Certified

Data Engineer & Data Scientist (Consultant): Customer Experience Managment