Othman B. Email & Phone Number

Ville De Paris, Île-De-France, France

- Integration of financial data from CEGID to SAP FI- Integration of CRM, Supply Chain, Market Places data, etc.- Integration of repository data (Customers, Tariffs, etc.)- Implementation of Control-M scheduling chains and Self-Services- Implementation of KPIs for performance analysis- Analysis of customer and sales data to identify trends, preferences and purchasing behavior- Creation of interactive dashboards to monitor product performance and identify opportunities… Show more - Integration of financial data from CEGID to SAP FI- Integration of CRM, Supply Chain, Market Places data, etc.- Integration of repository data (Customers, Tariffs, etc.)- Implementation of Control-M scheduling chains and Self-Services- Implementation of KPIs for performance analysis- Analysis of customer and sales data to identify trends, preferences and purchasing behavior- Creation of interactive dashboards to monitor product performance and identify opportunities for improvement- Coordination with key business teams: Marketing, Clienteling, E-commerce, Supply Chain, Retail Management, Finance, Accounting, etc.- API management- ETL technical referent - Creation of interfaces between different systems- Production management, incident management, monitoring, etc. Show less

Montpellier, Occitanie, France

• Development and unit, integration, non-regression and performance testing• Design of functional and technical specifications• Delivery and production start-up with real-time monitoring• Drafting of estimates with detailed costing• Agile methodology, technical referentData Science Languages & Frameworks• R, Python, TensorFlow, scikit-learn, NumPy, pandas, KerasData Visualization & Reporting Tools• Qlik Sense, MS Power BI, Latex, R Markdown, Jupyter… Show more • Development and unit, integration, non-regression and performance testing• Design of functional and technical specifications• Delivery and production start-up with real-time monitoring• Drafting of estimates with detailed costing• Agile methodology, technical referentData Science Languages & Frameworks• R, Python, TensorFlow, scikit-learn, NumPy, pandas, KerasData Visualization & Reporting Tools• Qlik Sense, MS Power BI, Latex, R Markdown, Jupyter NotebookETL technologies• Informatica PowerCenter, Boomi, Informatica DQ, Informatica MDM HubRDBMS• MS SQL Server, MS Azure SQL Database, Teradata, Oracle DBERP technologies• SAP FICO : Finance & ControllingSchedulers• Control-M, Automic Dollar UniverseProject management tools• Redmine, Jira Software, Trello, BMC Remedy ITSMVersioning tools• GitOperating systems & Interpreters • Unix Shell, Windows Command Prompt Show less

Montpellier, Occitanie, France

During my work, I took an interest in the General Data Protection Regulation (RGPD) by starting a first part of study on its content and its compliance within an information system in a company. This was followed by a pilot project using the Microsoft Azure platform, where I attempted to address three key technical points of this regulation, namely categorizing, masking and improving the quality of simulated personal data. I began this project by presenting the CGI Group as a whole… Show more During my work, I took an interest in the General Data Protection Regulation (RGPD) by starting a first part of study on its content and its compliance within an information system in a company. This was followed by a pilot project using the Microsoft Azure platform, where I attempted to address three key technical points of this regulation, namely categorizing, masking and improving the quality of simulated personal data. I began this project by presenting the CGI Group as a whole, its know-how in IT engineering, its presence worldwide and in France, its internal analysis using the four fundamental points of the SWOT matrix, as well as an external analysis using Porter's five forces.Then, I started the compliance demonstrator under Microsoft Azure, and I tried through its SQL database, to answer the three technical points mentioned in the RGPD by simulating personal data and classifying them according to their sensitivity first, to apply a masking layer later, and finally manage the part related to data quality to make them uniform and more relevant.• Keywords : General Data Protection Regulation (GDPR), Master Data Management (MDM), Pilot Project (POC) Show less

Montpellier, Occitanie, France

During my internship at the Institut National de la Recherche Agronomique (INRA), I became interested in time series exhibiting abrupt changes in their distribution, and in estimating the instants at which these series in question admit significant breaks. I formulated the problem of detecting breaks in the mean, which was the main focus of my project, and set the various parameters involved in its definition, such as break instants, the number of segments and their means. I… Show more During my internship at the Institut National de la Recherche Agronomique (INRA), I became interested in time series exhibiting abrupt changes in their distribution, and in estimating the instants at which these series in question admit significant breaks. I formulated the problem of detecting breaks in the mean, which was the main focus of my project, and set the various parameters involved in its definition, such as break instants, the number of segments and their means. I then went on to estimate the parameters of the model admitting breaks in its mean, assuming that it was Gaussian. This enabled me to calculate its likelihood function and to minimize an objective function with respect to the various parameters, thus estimating them. In addition, I introduced the principle of dynamic programming, which is based on the optimal resolution of sub-problems, minimizing the cost of each move of a given index in an optimal number of steps. Finally, I manipulated the rainfall database for the city of Montpellier and calculated the probability of rain on each day of the year. This application was completed by observing an optimal number of segments, for which I estimated the optimal break times and respective averages at each segment.Keywords : Rainfall data, Dynamic programming, Time series study Show less

Algiers, Algeria

During my internship, I became interested in modeling non-linear time series, namely financial series and more specifically the exchange rate series (Algerian Dinar/US Dollar). In addition to heteroskedasticity, the latter exhibits a multimodal conditional distribution with asymmetry and excess Kurtosis. I first studied finite mixture models, and the mixture of normal laws in particular, and then simulated several homoscedastic and heteroscedastic Gaussian mixtures of the same and… Show more During my internship, I became interested in modeling non-linear time series, namely financial series and more specifically the exchange rate series (Algerian Dinar/US Dollar). In addition to heteroskedasticity, the latter exhibits a multimodal conditional distribution with asymmetry and excess Kurtosis. I first studied finite mixture models, and the mixture of normal laws in particular, and then simulated several homoscedastic and heteroscedastic Gaussian mixtures of the same and different proportions, and undertook the estimation of these models using the EM algorithm. I then turned my attention to the GARCH (1, 1) type normal mixture model, which offers some flexibility for capturing volatility at higher order moments of the exchange rate series. I completed my project by fitting the NM (K)-GARCH (1, 1), K = 1, 2 models to the exchange rate series, first stationarizing the series and then estimating the model parameters on the basis of the most appropriate initial parameter vector. The results showed that the overall conditional volatility estimated by these models matched the volatility of our series. Finally, this application was completed by comparing these models using the BIC and Kolmogorov-Smirnov statistics as comparison criteria.• Keywords : Exchange rates, Time series mixture models, EM algorithm Show less

Master - Mathématiques De L'Information Et De La Décision (Mind), Mathematics And Statistics

Master - Statistiques Pour L'Information Et L'Aide À La Décision (Siad), Mathematics And Statistics

Master - Modélisation Stochastique Et Prévision En Recherche Opérationnelle (Mspro), Mathematical Statistics And Probability

Licence - Recherche Opérationnelle (Ro), Computational And Applied Mathematics