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Growth in Value Alliance (GV Alliance) Partners is a business advisory and market intelligence services firm. Our objectives are to assist organizations to achieve their growth aspirations by providing market intelligence, strategy blueprint, IT solution delivery expertise and business operation improvement capabilities. GVA Partners is also a l...
RESPONSIBILITIES:
Selecting building, optimizing AI/ML/DM/SA models, and operationalize them in productive environments
AI/ML/DM/SA using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Extracting, Processing, cleansing, verifying the integrity and quality of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner; constantly tracking of models performance
Integrate model outputs into business applications (like CRM, ERP), and Reporting/Dashboarding tools (Microsoft PowerBI, Reporting Services) or develop if needed web based front-end layers
Create informative, actionable, and repeatable reporting that highlights relevant business trends and opportunities for improvement
Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues
Collaborate with Retail banking, Marketing, Sales, Engineering, Operations, etc. to build scalable processes and metrics
Responsible for gathering and cleaning of datasets across multiple data sources
Responsible for spotting vital insights and developing the framework of the organization’s data system
Provide information on analytic results to business and functional leaders using visualizations to communicate data and metrics, including data maps, leveraging Tableau, etc.
Coach and educate junior colleagues and new hires; build and deliver training programs/contents on AI/ML/DM/SA
Keys Qualifications and Skills:
Master's Degree in appropriate field of study
Excellent understanding of AI/ML/DM/SA techniques and algorithms
Great communication skills, and ability to educate businesspersons to become data driven
Ability to uncover use cases from Retail Banking Business problems and needs; ability to translate business problems into AI/ML/Analytics use cases.
Hands-on Experience with data visualization tools, such Microsoft PowerBI, as well as web front-end developments tools
Proficiency in using query languages such as SQL, Hive, Pig, as well as ETL tools (Microsoft SSIS, Informatica) and a Data-oriented personality
Experience with Microsoft Big Data and AI platforms/solutions both on-premise and on Azure: SQLServer Big Data Cluster, Azure Data Lake, Synapse Analytics, etc.
Experienced on Cloud platforms, in particular Microsoft Azure, experience on Linux environments and scripting
Good applied statistics skills, such as distributions, statistical testing, regression, Deep Learning, etc.
Good scripting and programming skills mainly using Python / Jupiter and leading AI/ML frameworks
Excellent and hands-on experience on Oracle and MS SQL-Server, and overall database design principles
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