Luke Botbol

Built the defect pipeline data infrastructure using Python and AWS, automating processes, reducing manual workload by 120 hours/month, and cutting operational costs by $10k/month, earning Amazon's Inventor of the Quarter award nomination. Designed Defect and Engagement reports for Rufus using SQL and visualization tools, enabling its launch in 12 locales and contributing to 2025 goals.

Managed reporting for the Grocery Partnerships business, delivering 30+ solutions annually and supporting the launch of 105 stores. Designed a metric to evaluate Amazon Fresh item availability importance using PySpark and SQL, reducing Out-of-Stock events by 45% (MoM).

Strengthened firm
’s relationships with European Institutional Investors investing in Government Bonds Funds, Emerging Markets Credit Funds, Corporate Credit Funds. Produced weekly market trend analyses and identified opportunities within the asset management industry, contributing to a record year for the team with over $1.6bn raise in a year.

Activities and societies: Data Science Projects: Deployed a Machine Learning pipeline using AWS SageMaker and Lamba functions; Predicting next successful artist using Spotify dataset Models

Completed a Master of Science in Business Analytics with Distinction. Thesis focused on Legal Contracts Text Summarization using Data Mining and Fine-Tuning NLP Transformers. Developed and deployed a Machine Learning pipeline using AWS SageMaker and Lambda functions for data science projects.

Activities and societies: Core modules: Financial Markets, Financial Reporting, Derivatives and Risk Management, Management Accounting

Achieved a Bachelor of Science in Accounting and Finance with a 68% overall grade. Core modules included Financial Markets, Financial Reporting, Derivatives and Risk Management, and Management Accounting.