Laxmeesh Karkal

• Develop, Architect, and maintain Dubai Municipality's Artificial intelligence and data strategy for Different Sectors, Departments and Sections.
• Work closely with Sector engineers and subject matter experts and others to produce systems that utilize Artificial intelligence.
• Suggest, collect, and generate requirements. Create an effective roadmap towards the deployment of a production level artificial intelligence applications.
• Part of the innovation team to identify areas to leverage the use of Emerging Technologies to create value for the organization .

Data Science and Machine Learning:
• Seasoned Data Scientist with Capabilities to model complex problems.
• Manage and Mentor a Team of Data Scientists.
• Architect and design Machine Learning systems on a wide variety of transactional, Sensor based and unstructured data from applications .
• Conduct scoping sessions, workshops and liaise with technical departments to identify matters to be analyzed using appropriate data and appropriate analysis tools.
• Conduct potential POCs, share the findings internally and identify opportunities to deploy pilot projects.

• Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Virtual Assistants, Machine Learning, and Cognitive Services
• Manage teams in the identification of business requirements, functional design, process design (including scenario design, flow mapping), prototyping, testing, training, defining support procedures.
• Formulate planning, budgeting, forecasting and reporting strategies.
• Manage full Machine cycle implementations.
• Develop statements of work and/or client proposals.
• Identify business opportunities to increase usability and profitability of the Machine learning systems.
• Experience with program leadership, governance and change enablement.
• Develop and manage vendor relationships.
• Manage resources and budget on client projects.
• Assist and drive the team by providing oversight.

• Develop transformative AI solutions to address our clients business requirements and challenges.
• Understand latest industrial and academic developments in AI/ML, application in diverse domains and user experience for next generation devices and create prototypes for demonstration.
• Conceptualize, Design, build and develop prototypes which demonstrate the required functionality rapidly
• Responsible for recommending/proposing AI use cases
• Work with the Bot frameworks across multiple vendors, Google, Amazon, etc
• Stay current with the recent advancements in ML/AI industry
• Participate in internal and external technology forums and conferences
• Lead a Group Data Science and ML engineers,
• Effectively applying machine learning and data mining to different types of data collected from tasks and multiple domains such as, System generated / User input text, images and video, and online documents

• Deliver Scalable Machine Learning solutions to Analyze the vast chunks of Structured and Unstructured Data
• Use the ELK Stack to develop Log analytics solutions for Predictive maintenance of clients IT infrastructure.
• Develop Regression Based models to aid incident prediction (PASIR) in IT infrastructure
• Develop Descriptive Data Science solutions using Watson Machine Learning

Analyse data streams to identify potential opportunities for process improvement.
•Perform quality assurance and process reviews.
•Analyse findings from process reviews and develop reports to highlight trends/ opportunities for improvement.
•Make recommendations to help reduce process variation and eliminate errors.
•Designing and delivering presentations to senior management on the results of analysis work undertaken and the status of transformation initiatives.
•Performing detailed analysis of processes, applying appropriate problem solving and improvement tools such as those associated with Lean and Six Sigma.
•Performing root cause analysis and agree on remediation approach and timelines.
•Research and recommend industry best practices.
•Training the team on RCA methodologies to arrive at effective solutions

Responsible for leading QA team to deliver the following:
• Defect Prevention
• Quality Improvement
• Metrics
• Service Line and Competency Level Continuous Improvement
• Organize Internal and External Calibrations with clients and operations
• Preparing dashboards reports, analysis, reports & presentations for the Service desk accounts performance
• Transaction Monitoring Dashboards
• Documentation Defect & Dispatch Accuracy Reporting
• Perform the Root Cause Analysis of the daily/monthly problems and bring improvements in the process and desk.

Producing statistics and management reports.
•Representing the Service Desk at meetings.
•Arranging staff training and awareness sessions.
•Liaising with senior management.
•Liaising with change management.
•Performing briefings to Service Desk staff on changes or deployments that may affect volumes at the Service Desk.