Slalom

Data Engineer / Data Modeler: 
Defined a new data model. Developed and deployed the data ingestion pipeline according to defined specifications (Databricks, PySpark). Extracted, transformed, and loaded data according to business rules.

Consultant

Data Engineer / Business Analyst / Quality Engineer:
Build a scalable AWS infrastructure that can be connected to multiple external data sources. Define the Business Rules with the client through workshops, and document the requirements on Confluence pages. Define, optimize and implement a relational Data Model (PostgreSQL). Implement a complex Client Matching Engine using serverless, event-driven compute services (Lambdas). Develop a multi-source ETL pipeline (CloudWatch, SQS, SNS, S3, Lambda, Glue). Ensure that the solution is of the highest quality by assisting the clients with their QA test

Associate Consultant

Designing a methodology that will drastically boosts the effectiveness of We3 pricing strategies by allowing the prompt and real time adjustment of prices in response to internal and external demand drivers.

Data Consultant

McGill University - Desautels Faculty of Management

Graduate Research Assistant

Analytics Consulting Project with BDC as a Solution Architect
•	Developing a robust CLV model, to refine the targeting strategy for Marketing, Financing, Advisory, and Venture Capital and Maximize ROI.
•	Designing the structure of the solution’s pipeline, overseeing the implementation of the solution, and liaising with the modeler and UI/UX for the data sourcing and the serving.

Solution Architect

LRIA Lab, University of Science and Technology Houari Boumédiène

Prediction of personality traits based on user behavior on social media platforms in the Algerian context. With my partner we were the first to apply Adversarial Learning Methods in Arabic texts and our method has made possible to go beyond the state of the art. Concepts covered: Machine Learning, Natural Language Processing, Word Embedding, Metaheuristic, Web Scraping, Profiling, Big Five personality traits.

Machine Learning Researcher

Schlumberger

• Monitored and reported service availability, usage and statistics of incidents tickets.
• Developed a Machine Learning solutions in the internal IT Service Management (ITSM).
• Used a Multinomial Naïve Bayes classifier to categorize new support tickets based on input text. 
• The SLA response times have been cut in half and the estimated annual cost savings rack in more than $100,000.

IT Consultant

Trust Bank Algérie

• Analysed the customer’s behaviours and conducted surveys to identify the customer’s pain points. 
• Proactively identified and communicated the customers’ needs to the leaders and we created action plans to build a strong retention strategy that boosted the customer’s retention by 29%.
• Built elegant, scalable, extensible, cost effective solutions 
• Worked in an agile environment with participation in daily stand-ups/scrum
• Designed and implemented data storage solutions (writing and debugging queries in MySQL)

Full Stack Developer

My Mission is to help people with Data Science use cases – as I loving learning, and supporting initiatives.
My goal is to understand how corporations are run as a whole and how I can use my background in Data Science to offer better services to my stakeholder. Bring the best of both worlds: Business Acumen and Data Science.   
I plan to act as a liaison between the IT and Business stakeholders to remove the challenges that silos bring while delivering value to the company in terms of top-line growth and cost reduction initiatives.  
My Core Technical competencies:
1. Big Data technologies: Azure
2. Data Modelling Tools: Python (Tensorflow, Scikit-learn, Pytorch, Keras), R, Java, C
3. BI/Visualization tools: PowerBI
4. Databases: Oracle, MySQL 

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