Imane J.

Data Scientist

445 dollar

Mon expérience

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LYDECSeptember 2017 - Présent

Conceptualized, architected and implemented a machine learning model to accurately predict monthly energy consumption (water+electricity). Algorithm applies Random forest regressor, that learn from historical consumption data and econometric indicators to predict future consumption.
Implemented the end-to-end platform for performing customer behavior analytics; client profiling using unsupervised learning (kmeans) .
Designed and implemented an ensemble ML algorithms to identify electricity non technical loss, based on previous inspections and practical features.

Developed an advanced graphic visualization concepts to map and simplify analysis of heavily-numeric data and reports using Dash API .
Built a real-time, scalable anomaly detection system for claims time series, using facebook prophet, create alert that notify peaks and allows the company to gain a real-time understanding of the state of services.
Automated data Ingestion from transactional database into Hadoop data lake, using apache oozie workflow and sqoop for batch ingestion (in production) , and implement change data capture (CDC) to extract data changes with minimal impact to the underlying system, using kafka and spark (POC) .

Mes compétences






Baccalaureate Degree > Baccalaureate Degree Mathematics, Apache HBase, Sqoop, Python Programming, extensive analysis, Well-qualified Data scientist, Bachelor of Applied Science > Bachelor of Applied Science Information Technology, Apache Flume, industry~science, FACEBOOK, Data Scientist

Machine Learning

Deep learning


Machine Learning

Big Data

Hadoop, Big Data Architecture, Big Data, Spark, Data Visualization, Oozie

Mes études et formations

Bachelor of Applied Science, Information Technology - University Of Hassan II

Baccalaureate Degree, Mathematics - Ibn Al Yassamine High School

- University Of Hassan II2017