Ali is a Senior Data Scientist/Data Engineer with a passion for mathematical modeling and hands-on experience working on innovative and creative projects at leading MNCs. With exceptional problem-solving skills, he excels in evaluating and monitoring performance and real impact and solving complex problems. Ali designs from scratch or overhauls existing microservice architectures and builds data and ML pipelines, demonstrating an ability to not only analyze data but present it in a clear and succinct way.
Delivering data warehouse and ETL solutions as part of an Agile team using advanced ML techniques to improve performance and processes.
Helping build and improve infrastructure, application, and performance development and ensuring tight security including data encryption, security groups, and environment scanning.
Ensuring high-quality deliverables and implementing DevOps and security best practices in fast-paced environments.
Developed a process intelligence platform that uses Computer Vision and Machine Learning to continuously uncover a complete, end-to-end view of digital processes with zero interruption to employees and zero required integrations.
Solved the graph simplification and boosted its performance to near real time on large graphs.
Designed a wrapper microservice for the graph simplification module to integrate seamlessly with the rest of the project.
Coordinated between teams handling different microservices, assisting them to deliver a robust product.
Developed an FTP model for the largest Lebanese bank, iterating rules to calculate the FTP per product and working with FTP curve estimates from statistical simulation techniques.
Developed a model for loan cancellation probability and loan disbursements through a Logit model and survival analysis.
Worked on Alex Bank's credit risk models review and data quality controls, ensuring good bank data quality and estimating the probability of default and exposure at default.
Led the development of a general FTP model for retail banks that involved the estimation methodology of FTP rates per product at the banks using advanced statistical simulation techniques such as Filtered Historical Simulation, coupled with advanced time series modelling. The model is in use in banks around Europe and the Middle East. Worked on a C# application based on the developed FTP model that enables banks to calculate the FTP per product and generate final reports for top management. Oversaw solution design, multithreaded implementation, data quality checks, and error logs, making the FTP rates estimation as seamless as possible for the banks.
The Skan Process Intelligence Platform uses Computer Vision and Machine Learning to continuously uncover a complete, end-to-end view of digital processes with zero interruption to employees and zero required integrations. Solved the graph simplification and boosted its performance to near real time on large graphs. Designed a wrapper microservice for the graph simplification module to integrate seamlessly with the rest of the project. Coordinated between teams handling different microservices, assisting them to deliver a robust product.
Collaborated with the ETL team to implement data quality checks and ETL rules linking the core banking system to OFSAA. Worked on OFSAA parametrization to automate bank assets and liabilities simulations using advanced statistical models to simulate different products. Led the OBIEE team to implement customizable reports to summarize the simulations into dynamic results for top management.
Led the digital transformation of a few companies, moving their operations from pen and paper to well-structured, custom-made software solutions, redesigning business flow to reduce operational errors, maximizing productivity, and designing custom software to fit the new flow. Used a wide variety of technologies to achieve digital transformation such as C# and Python.
Developed credit risk assessment models for a retail bank and worked on a model for loan cancellation probability and loan disbursements using a Logit model, survival analysis, and OLS models; estimating the probability of default and exposure at default.
Education
PhD Economics
Bucharest University of Economic Studies - Romania
