• Develop solutions in alignment with the Enterprise architecture while contributing and advocating the use of Enterprise frameworks.
• Defines applications and websites objectives by analyzing user requirements; envisioning system features and functionality.
• Researching and understanding new web technologies to provide technical leadership in developing service applications and analyzing business requirements.
• Participated in all phases of SDLC starting from Analysis to Delivery of the application development projects and also supported enhancements and maintenance of existing applications.
• Creating Internal Addons and reports on iVend CRM
• Integration Windows Services between SAP and POS
• Developed +7 web applications to support Task Sheet Application, eCommerce Site based on NopCommerce, SPACE Portal (Order Service, Ticketing System)
• Technologies used (C#, ASP.Net Web API, .Net Core 3.1, Visual Studio, N-Tier, Entity Framework, TFS, Web Service, SQL Server, Angular 8, Bootstrap, HMTL, CSS, TFS, SSIS, REST, Agile Methodology).
Regarding Data Scientist Job:
• Develop and maintain our Analytics Tool Edraky Data Gear (EDGE) using Python scientific packages such as NumPy, Pandas, Django, Keras, Tensorflow
• Working on Hyperone Customer Segmentation, as we agreed to consider the customers who have both online/offline (in-store) sales transactions by using Kmeans Technique with specific number of clusters based on Elbow Method
• Working on Hyperone categories' forecasting results accuracy has exceeded the success criteria limit of 80% for all categories, as well as residual findings that we think will be of benefit for the business by using Prophet, ARIMA, Moving Average.
• Working on project that segment Kandil customers into a number of clusters, each cluster contains a number of customers that are similar to one another in terms of their characteristics.
• Working on Virgin for applying Market Basket Analysis (MBA) for the sales invoices and generated the Association Rules to design different store Layouts. By analyzing the past buying behavior of customers, we can find out which are the products that are bought frequently together by the customers.
• Certified machine learning course from Luleå University of Technology, Sweden
• Working on Text Analytics, applying Stopword removal, Tokenization into n-grams, Stemming and generate wordcloud and TFIDF also, regarding Arabic Text Analytics, I worked on Arabic BERT package (AraBERT v0.2/v2) for generating sentiment analysis for training and prediction data with accuracy 90%
• Regarding Conversational AI Application, I Worked on Azure bot service by using Microsoft Bot Framework integrated with LUIS & QnA Maker for creating Appointment Bot to BMW to make appointment for car service and integrated with SQL database and add appointment date into google calendar also integrated with social media (Facebook and WhatsApp)
• Refactor current predictive models, and extract commonly used functions into a reusable set of packages and libraries
• Manage the environment using Anaconda
- مجال الشركة:
- تطوير البرمجيات
- الدور الوظيفي:
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تكنولوجيا المعلومات