- Built and launched ShorterStories, an innovative online bookstore where writers share short-form content and market books- Designed and developed a comprehensive platform offering a rich writers and readers experience, including a custom text editor for content creation and profile management features to enhance user engagement- Wrote some absolutely banging creative non-fiction, completely not in the style of writing on LinkedIn- Designed and deployed the backend infrastructure using AWS services including Lambda, SES, RDS, Cognito, and S3, ensuring a scalable and secure environment.- Developed and deployed a REST API using API Gateway to facilitate email campaigns, user segmentation, and unsubscribe tracking.- Created an email tool integrated with AWS SES for targeted campaigns, enabling efficient communication with platform users.- Implemented user authentication using AWS Amplify and Cognito, integrating custom user flows to ensure seamless sign-in and role management.- Implemented AWS Step Functions for orchestrating complex workflows, improving reliability and error handling in production processes.- Built and managed data pipelines for affiliate feeds using Amazon Kinesis and AWS Glue, automating the ingestion and processing of data from external sources.- Integrated PostgreSQL database for tracking email campaigns, handling segments, and storing detailed analytics on user behavior and engagement.- Deployed and managed the web platform with Django running on Elastic Beanstalk, ensuring smooth scaling and uptime.- Actively increased writer and reader engagement through strategic marketing initiatives on Instagram and email campaigns, with a growing community of writers and readers.

- Developed and operationalized machine learning models (e.g. time series modeling and recommender systems) from initial conception through deployment- Built and led the development of various products:1. A content discovery tool that increased the output of the content marketing team by 50% and enabled more diverse campaigns2. A model to recommend influencers that doubled likelihood of brands to cast influencers for campaigns3. a spam identification tool that suppressed bottom 20% of spammy content that deterred customers from the product4. automated goal setting that increased the trust and scope of KPIs and goals 5. advanced creator reporting which gave creators uniquely valuable business data and led to 6% increase in time on platform- Worked directly with customers and stakeholders to iterate and innovate on products and created processes that ensured products reached the market quickly and continually evolved and improved.

- Designed and architected large, complex data from a 3 sided marketplace (retailers, influencers, consumers) into an organized data lake that powered the business.- Thanks to business acumen, interpersonal skills and advanced SQL, this led to a 3x improvement in data engineering team throughput and enabled business teams to build products quickly with reliable and consistent data.- Ideated and built data products on top of gold standard data, including a global products table (used for sales reporting) that led to a 50% increased use of the saving functionality and a click performance table (used for anomaly detection).- Automated the company revenue model in Python, allowing finance to change inputs to the models in minutes instead of the days of work that regularly broke their excel workbooks.

- Conducted A/B tests, created product reporting and analysis, and performed full customer life cycle analysis - churn and LTV.- Built predictive revenue models and daily output predictions to monitor business trends and diagnose causes of revenue shock.- Created a decision tree segmentation of creators tailored to market conditions that resulted in a worldwide reorganization of the sales teams.

- Built dashboards, performed analysis, and built primitive data pipelines to support retailer and publisher teams.- Designed almost all key dashboards that enable the business teams to operate to this day.

From January 2011 to January 2015, I worked at IPART, the economic regulator in NSW, Australia. In this role, I worked on reviews in a variety of industries and subject areas, including, taxis, public transport, the rationale and design of licensing in NSW, the method of rent determination for domestic waterfront tenancies (e.g., private wharves) and general reviews of IPART's regulatory framework. I undertook complex economic analysis and modelling, particularly related to the public transport and taxi industries. For example, I contributed heavily to the analysis of the external benefits of public transport and the corresponding regulatory framework to assess fares. I researched and integrated information and economic theory from multiple sources, which included, internet and archive research, interacting with stakeholders and consultants, interpreting legislation, integrating stakeholder submissions, and independent academic research. I built, improved and updated financial models which formed the basis of the analysis presented to our Tribunal. This included large excel models of the taxi industry, the external benefits of public transport and other industries. I wrote and contributed to briefings for our Tribunal (decision making body). In these briefings, I made recommendations and set out the arguments to support the recommended course of action. I also contributed to drafting public documents, such as final and draft reports, and internal working papers. I presented verbal briefings to senior management and the Tribunal to help them make decisions. I gave presentations, including internal peer reviews and training classes for the organisation. I managed stakeholder relationships, including being the point of contact with our consultants.

In this role I was responsible for background research on competition failure in the superannuation industry in Australia. This included contacting stakeholders and modelling archive data for the project supervisor.

I prepared and delivered tutorials for Managerial Economics, Microeconomics 1 and Microeconomics 2. This included preparing presentations and tutorial questions on lecture topics.I provided private consultations with students, including providing technical guidance and advice to students.I marked assignments and performed other administrative duties such as managing student attendance records.