About me

Technology interests at work:

In my current position, I extract, transform, and load accounting data from various systems. This involves data wrangling using common tools and custom VBA scripts. In past roles, I’ve run reports and analyzed financial data for small businesses and individuals. I’ve also handled numerous administrative tasks typical in government roles and reviewed large volumes of transactional and accounting data. Given this experience, I aim to transition into a data science role focused on such data. With my background, I believe I can offer valuable insights in:
1. Reviewing structured data for feature engineering in machine learning.
2. Using generative AI to parse unstructured or semi-structured data into features for machine learning.
3. Using generative AI to automate or augment processes effectively.

Technology interests outside of work:

AWS Serverless - Lambda, DynamoDB, Amplify, SQS, S3, Bedrock & Pinecone, Machine Learning endpoints
Generative AI - OpenAI, Stability, Midjourney
Social Media APIs - Twitter, Reddit

Certifications:

AWS Certified Cloud Practitioner
AWS Certified AI Practitioner
AWS Certified Solutions Architect Associate
Microsoft Certified: Azure Fundamentals
Microsoft Certified: Azure AI Fundamentals
Certificate, Financial Technology Bootcamp, University of Toronto School of Continuing Studies