Daniel C. Email & Phone Number

Kirkland, WA, US

Sydney, NSW, AU

Combining Search and Generative AI for Atlassian Intelligence (Rovo).Lead and manage the Core Relevance aspect of AI conversational features for Atlassian Intelligence.

Sydney, NSW, AU

Responsibilities: Setting technical directions and long-term roadmap, managing team health and growth, day-to-day overseeing of projects and operations, managing engagements with internal stakeholders (Product, Analytics, Platform, UX Research, Privacy) Projects: recall set generation and re-ranker model (LTR), query and document corpus transformations.

Sydney, NSW, AU

Took a sabbatical for health and well-being.

Sydney, NSW, AU

• Search Relevance — Founding member of Atlassian Search team. Using behavioral and textual (UGC) data, we engineered solutions to optimize search algorithms and improve search relevance. Contributed to 40%+ increase in.
• Smarts Innovator — Atlassian Patent ProgramHelped Atlassian gain competitive advantage in the collaboration tools space by filing 6 patents around ML-driven smart features in Confluence and Jira.

Sydney, NSW, AU

• Customer Churn Prediction — Built a model that predicts whether a license will churn in a year following activation, used by the Customer Success group to reduce customer churn. Presentation topic at the PAW conference.
• Experimentation Platform — Delivered Atlassian's first end-to-end, automated experimentation platform to measure user growth experiments. Defined the success metrics and hypothesis testing methodologies for A/B testing.

• Wheepl used #hashtags to link online chatter and enable bloggers and content websites (WordPress, Tumblr) to be part of a single fluid conversation across websites and social platforms. Our vision was to uncover user.
• Managed product roadmap and an execution team of engineers.
• Designed and implemented key-value data storage and a social graph model.
• Front-end development and API integrations.

GB

• Key project driver around Transaction Monitoring Optimization and Anti Money Laundering (AML) risk models development. Provided technical guidance and mentorship for Sr. Associates and Associates on the team.
• Analytics Lead — Developed and validated AML models and led the customer segmentation model development. Applied clustering algorithms to segment the customers based on their business unit association, profile.
• Quantitative Analyst — Trained and validated a counter-party AML risk model for a large global financial institution. Feature-engineered transactional data (100M+ per month) from an MPP database and applied ML.

Seattle, WA, US

• Delivered data engineering and predictive analytics solutions and innovated using enterprise / open-source data stacks (Hadoop, Hive, R, Splunk).
• Architected an end-to-end solution integrating data from multi-billion dollar e-commerce and brick-and-mortar business with Qualtrics survey data for the Merchandising group.
• Built a comprehensive data warehouse for a non-profit organization to adopt SAP Business Objects for their transactional reporting needs.

Master Of Engineering, Industrial Engineering And Operations Research

Graduate Certificate, Statistics

Bachelor Of Applied Science, Honours Systems Design Engineering