Laxmeesh Karkal

Artificial Intelligence:

• Develop 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 in order to produce systems that utilize artificial intelligence and capable of adapting or changing based on adding data.
• Develop scalable tools leveraging deep learning models to solve business problems in areas such as voice recognition, natural language processing, image recognition and Regression predictions.
• Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a production level artificial intelligence applications.

Data Science:

• Seasoned Data Scientist with Capabilities to model complex problems.
• Conduct scoping session, workshops and liaise with technical departments to identify matters to be analyzed using appropriate data and appropriate analysis tools.
• Conduct potential POCs, share the finding internally and identify opportunities to deploy pilot projects
• Provide guidance and mentor developers regarding data analytics, build and mentor a new team of Data Scientists
  

• Architect, Position, Design, Develop and Deploy enterprise solutions which include components across the Artificial Intelligence spectrum such as Chatbots, 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 life cycle implementations.

• Develop statements of work and/or client proposals.

• Identify business opportunities to increase usability and profitability of information architecture.

• Experience with program leadership, governance and change enablement.

• Develop and manage vendor relationships.

• Lead workshops for client education.

• 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 proto types 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
• Work with Data Science & Machine Learning Group of ML engineers,
• Data Scientists and Product Analysts to deliver Scalable High Performance engineering systems
• 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
• Recruit and retain world class talent to build capability

• 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 client's IT infrastructure
• Develop Regression Based models to Aid Predictive incident prediction (PASIR)
• Improving processes by analyzing & employing DMAIC principles in the IT
• Service Delivery processes; ensuring persistent enhancement of the process and global metrics aligned to ITIL framework
• Gathering requirements through client interaction, to understand their needs to provide best solution possible; analysis to gauge several requests on the developing application and its functionalities
• Delivering SLA based services for operations management and confirming compliance with the policies/processes linked to service transition, implementation and operation of outsourcing services
• Updating client's Support Team with the areas of improvements by creating reports on Key Performance Indicators using Watson Visualizations or Tableau
• Dynamic Dashboards
• Monitoring progress of the project as per schedule / budgets, and ensuring timely completion & delivery to the client
• Projects Handled: 1) Issue classification:
• Build a Text Classifier to Categorize incidents based on the available documentation in the incident
• A support Vector Machine Classifier was used for the purpose the Text in the incident was Preprocessed and a Document term Matrix was built out of this
• SVM and a Naive Bayes classifier was trained with Labels on the Document
• Term Matrix
• This Model could easily classify text and the Manual effort for this process was reduced by 90%
• The text classification was one of the Subtasks of Data Preprocessing and the
• Classified Data was Later fed into other Predictive Maintenance Tools
• Technologies used: Support Vector Machines,Python,NLP

• Analyze data streams to identify potential opportunities for process improvement
• Perform quality assurance agent and process reviews
• Analyze 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
• People / Performance Management
• Service Line and Competency Level Continuous Improvement
• Track the performance of the multiple desks on a weekly and monthly basis and highlight the areas of improvement
• Successfully Completed Continuous Improvement Program (CIP) by implementing process changes which reduced the Overall AHT and Increased the C-Sat of the Service desk accounts
• Implementing the Best Practices across the Service Desk Accounts
• Experienced in Defining, analyzing, reviewing and giving feedback on project performance, profiles of every roles and setting new targets
• Organize Internal and External Calibrations with clients and operations
• Attend con-calls with Global Quality to ensure there is correct practice within the team
• Escalation management:
• Closely monitor the progress and escalate complex issues where required
• Closely monitor the Strategic Incidents/Interaction on escalation SLA
• Page 5 of 6
• Participate in team meetings and projects that enhance the quality and efficiency of the process of the Service desk accounts
• Identify process gaps and run improvement plans to close the same
• Preparing dashboards reports, analysis, reports & presentations for the
• Service desk accounts performance
• Reporting includes and is not limited to the following:
• Transaction Monitoring Dashboards PPT reporting
• CSAT & DSAT Management and Reporting
• 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
• Assisting Analysts in providing first line support when workloads are high, or where additional experience is required.