Khaled Eid

Experience

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  No company name

  Jan 2010 - Jan 2012

  Tutoring school students in Mathematics and Physics

  Giving lessons to students in Secondary classes and Baccalaureate Level 1 and 2 in Mathematics and Physics

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  Lebanese University - Faculty of Sciences

  Jan 2013 - Jan 2013

  Data Scientist Trainee

  Object :To apply statistical tests in a thesis projectTo study the effect of treatment on chemical reactionsMissions :Study the change of a numeric variable according to several categories. i.e.: per the values of a factor (Anova test)Compare the averages (Student test)Compare the variances (Fisher test)

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  CIRAD

  Jan 2014 - Oct 2014

  Trainee : Master 2 Modelling Mathematics and Applications, Option on Biostatistics

  Object: To establish a model of cocoa harvest forecast in Ivory Coast To estimate the influence of rainfall and the price paid to farmers this harvest Missions : Receive process and order data files. Process and establish the statistical analysis of data Prepare reports

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  Lebanese Red Cross

  Jan 2016 - Jan 2016

  Project Assistant

  • Update the information of the Syrian refugees registered in the UN• Assess how the refugees benefit from the e-card• Visit the refugees’ house or tent.• Fill an assessment with them• Write reports about their situation

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  Bank Audi

  Sept 2016 - Jan 2018

  Data Scientist

  Digital bank POC :• Developing intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships.• Analyzing and processing complex data sets using advanced querying, visualization and analytics tools.• Identifying, measuring and recommending improvement strategies for KPIs across all business areas.• Creating a virtual layer that combines multiple data from multiple sources by writing complexed views and stored procedures using Data Virtualization tool• Ingesting data from different sources using multiple ingesting tools• Developing Complexed SQL queries based on business requirements• Building the cash flow position analysis and evaluate the trend using formulas based only on the balance sheet and the P&L statement of the organization.• Involved in Data Modelling of the ingested structured data in MPP.• Working on a customer churn use case by building logistic regression model and decision trees using R-Studio.• Implement the churn use case on Spark based on large data sets, using python as an analytical language.• Understand business use cases and translate them to analytical data stories• Work with Business, Development and Infrastructure teams to thoroughly implement the designed flows and deliver the tasks• Worked with team following the agile methodology, attending daily scrums, Sprint planning and IFRMS – Reports Analysis and Development:• Developing new Analytical Reports and dashboards based on business users requirements from different departments• Providing technical support for existing reports, dashboards and queries• Gather detailed business requirements• Reviewing and analyzing data from multiple internal and external sources• Documenting specifications for business intelligence reports, dashboards, or other outputs Voir moins

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  Areeba

  Jan 2018 - Jan 2022

  Senior Data Scientist

   Developing intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen relationships in multiple projects: AML monitoring, real time fraud monitoring, customer churn, merchant performance analysis, customer segmentation, credit card payment prediction… .  Apply technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can provide a competitive advantage or address a pressing business problem.  Use data mining, algorithms, optimization methods, statistical techniques, and machine learning models to research and develop solutions for different problems.  Analyze the data to quickly find meaningful information and use that information to improve key performance indicators.  Leverage expertise in various machine learning or machine intelligence techniques, including Tensorflow, neural networks, random forests, and analytical expertise to explore and examine data from multiple disparate sources and stay up to date on the latest machine learning capabilities with the goal of discovering patterns and previously hidden insights to build predictive models.  Work on all aspects of the design, development and delivery of machine learning and optimization enabled solutions using R/Python to the end user.  Organize challenging problems, develop new solutions, and work with business & development teams to ensure these solutions deliver value.  Develop comprehensive reports and visualization explaining the business value of the decision science methods used.  Work with Business, Development and Infrastructure teams to thoroughly implement the designed flows and deliver the tasks  Worked with team following the agile methodology, attending daily scrums, Sprint planning and review. Also provided demo to product owners at the end of sprint. Voir moins

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  Amazon

  Jan 2022 - now

  Global Assurance Manager - Business/Data Analyst - Risk and Compliance

  Work with and analyze large data sets, to identify risks, outliers, patterns or trends that may impact amazon’s regulated entities compliance risk exposure. Lead on data extraction, analysis and reporting of risks that may impact a regulated entity and will partner with analytics team to support data mining and program improvement needs for the risk and compliance EMEA assurance team.Work closely with the risk and compliance EMEA assurance team stakeholders (compliance officers, payments risk, governance, program managers, product owners and other operational and support teams) to provide data driven analysis and monitoring solutions Voir moins