
wassim suleiman
Accounting / Finance
About wassim suleiman:
Team Leader Across Multiple Locations:
- Leading end-to-end (scoping, design, development, testing, deployment, and monitoring) implementation of AI/ML solutions that drive significant business benefit.
- Coaching management, business lines and development teams through change management and adoption related to AI/ML transformation.
- Applying agile project management practices in the delivery of an innovation or transformation project or initiatives.
Experience
Team Leader Across Multiple Locations:
- Leading end-to-end (scoping, design, development, testing, deployment, and monitoring) implementation of AI/ML solutions that drive significant business benefit.
- Coaching management, business lines and development teams through change management and adoption related to AI/ML transformation.
- Applying agile project management practices in the delivery of an innovation or transformation project or initiatives.
Natural language processing:
- Document classification and Data Extraction for structured/unstructured documents like tax form, contract documents or email buddy, using Stanford NLP and Spacy.io, fastai ulmfit.
Azure Cloud OCR cognitive service & Google Cloud Document AI:
- use the service to transform the scanned handwritten documents into text for key-value extraction.
Predictive analysis:
- Data classification, forecast the future outcomes based on historical data.
Anomaly detection:
- Detects anomaly in satellite image with ArcGis
- Detects user network non-usual activities using Isolation Forest H2O.
Computer vision machine learning:
- Object detection and tracking for video in real time processing
- Satellite image segmentation and classification with 3D geometry data
- Classify scanned documents and perform signature extraction, identification, checkbox recognition and Table extraction using Keras, Tensorflow.
Education
| PhD in Computer Science (ENISE - UJM) France. | 11/2009 - 10/2012 |
- Recognition and localization of buildings images using Machine Learning. (decision tree, random forest, SVM using Matlab )
- Visibility analysis in 3D spatial data. (Matlab)
| Master 2 GIS (UJM) France. | 11/2008 - 10/2009 |
- Geolocation and Time Series Analysis of moving objects using a web solution. (Kalmen filter)
| TELECOMMUNICATIONS ENGINEER (HIAST) Syria. | 09/1994 - 09/1999 |
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