- Worked as an AI Consultant for Talent’s tier 1 customers across Australia namely Commonwealth Bank, Mastercard, NAB, Newcrest Mining, Optus, AMP, and Deakin University.
- Researched, developed, and deployed AI and Data Science capabilities across a wide range of technologies and industries as required by the customer.
- Was the specialist developer and SME for projects that require extensive knowledge of Reinforcement/Deep Learning, NLP, and HCI.
Mohan Kagita
About
Mohan Kagita is an experienced artificial intelligence and data consultant who worked with multiple Tier 1 companies across Australia including Commonwealth Bank, MasterCard, NAB, Optus, Newcrest Mining, and Deakin University. His core expertise includes research, development, and deployment of AI and Data Science capabilities across a wide range of technologies and industries. He also integrates advanced AI capabilities with mining technology to enhance operations and safety across all mine sites.
Employment
- Worked as an independent consultant specializing in solving Data Science and Artificial Intelligence centric problems.
- Assisted with the pre-sales team, gathering requirements and designing/developing solutions for all Versor customers namely TabCorp, Coles, Virgin Australia, Alinta Energy, BlueScope, etc. as required.
- Implemented proof of concepts in collaboration with Versor’s technology partners such as Microsoft, Amazon (AWS), Databricks, etc.
- Assisted with pre-sales activities, meeting customers, and designing cloud-specific solutions for customers on AWS.
- Performed cloud migrations from/to on-premise or hosted solutions to AWS/Azure.
- Developed auto-drift detection system trigger for retraining of data science models.
- Developed mobile applications using React Native to connect people within a community together including features such as weekly catch-ups, weekend trip planners, etc. done in collaboration with the Australian smart communities association.
- Gathered requirements from council development and planning authorities and communities using feedback surveys to connect communities together.
- Worked on sentiment analysis on social media content and predicted the trends in any given industry using deep learning techniques.
- Handled big data exploration and processing using distributed processing, setting up temporary in-memory data store (Redis) for easy information retrieval.
