Qamar un Nisa
Geo-Team LeaderDeveloper AdvocateHybrid Cloud Build Team
IoTAnalyticsNode.jsCloudNatural language processingMachine learningPredictive analyticsContainersDeep learningPythonArtificial intelligenceR language and environmentData scienceJupyter NotebookIBM SPSS ModelerIBM CloudIBM SPSS StatisticsKerasPython Data Analysis LibraryTensorFlowWatson AssistantNode-REDPyTorchWatson StudioWatson DiscoveryPixieDustFinanceRetailSoftware developmentAPI Management
Data science enthusiast & a traditional programmer, working as the Hybrid Cloud Build Team and Developer Advocacy Leader for North, East and West Africa region. Qamar has graduated with BS in Computer Science and hold MS degree in Data Science having thesis and research in Natural Language Processing and worked on State-of-the-art Models. Having experience of working in technologies like AI, Machine Learning, Data Science. Qamar works with enterprises, business partners, developers and open source communities to help accelerate their journey on IBM Cloud & Watson services. In addition to this, you will find her mentoring university students and aspiring data scientists, educating developers in the field of Data & AI.