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Aidan McConnell

Minneapolis,MN

Summary

I am currently one of the top performing data scientists at a fin-tech company called Sezzle. I am passionate about data, technology, investing, and markets. Much of my free time is spent learning about markets/investing so I want to work for a company that is at the intersection of data science and investing. I think I could add a ton of value to Citadel, and I believe this role is truly aligned with my passions. I have been working for the past 3 years on developing an algorithm that can trade in the currency market https://github.com/aidanbachmcconnell/oanda-python-currency-trading-algo.

Overview

4
4
years of professional experience

Work History

Senior Data Science Manager

Sezzle
11.2022 - Current
  • Cultivated a culture of machine learning by hosting weekly "Machine Learning Fridays". The culture shift towards machine learning resulted in my team deploying over 4 models per quarter. Previously, the entire analytics department averaged 2 per quarter.
  • Played a key role in the hiring process, identifying top talent from over 5000 applicants and hiring the top 4 for my team.
  • Developed and implemented a machine learning project framework that provided a clear roadmap for team members, emphasizing the integration of data science initiatives with business objectives.

Senior Data Scientist

Sezzle
05.2021 - 11.2022
  • Developed the unit economics "Net Transaction Margin" (NTM) dataset. This data was the core focus for Sezzle's initiatives once the Fed started tightening in 2022.
  • The transaction level NTM data has 40+ cost/revenue columns each with a unique calculation methodology. For example: chargeoffs and anticipated user fee revenue were forecasted using neural networks and processing costs were estimated using external payment processor data.
  • NTM data analysis was used to renegotiate or cut unprofitable deals in 2022 which turned Sezzle into a profitable company from a company that lost $30MM per year.
  • Performed user LTV analysis using NTM data to determine appropriate CAC for the marketing team.
  • Built a production recommendation system using a python matrix factorization library that recommends relevant merchants to Sezzle users.

Data Scientist

Sezzle
07.2019 - 03.2021


  • Utilized Tensorflow to build forecasting models that predict expected losses for financial statements. The models I built had more than 25% lift over traditional financial roll rate forecasting models.
  • Used historical data to build a python simulation and analysis of an optimal user fee structure for the company. I presented this strategy to the leadership team which resulted in $20MM extra revenue per year.
  • Reduced monthly financial report production time from 2 weeks to 2 hours by migrating queries to Redshift and building an OOP python automation class.
  • Designed and built the backend architecture for our $350MM Goldman Sachs debt facility.

Education

Master of Science - Data Science

University of St. Thomas
Saint Paul, MN
12.2020

Bachelor of Science - Industrial And Systems Engineering

University of Iowa
Iowa City, IA
05.2018

Skills

  • Data Engineering (DBT, Cron, DB Design)
  • python (Numpy, Pandas, everything else)
  • SQL (MySQL, Postgres)
  • Machine Learning (Tensorflow, ScikitLearn, PyTorch)
  • AWS Sagemaker
  • Git
  • Data Visualization (Tableau, Redash, Matplotlib, Seaborn)
  • Financial Reporting Automation
  • Financial Time Series Forecasting
  • Recommender Systems
  • Unit Economics Analysis
  • Quantitative currency trading (Oanda python API)

Timeline

Senior Data Science Manager

Sezzle
11.2022 - Current

Senior Data Scientist

Sezzle
05.2021 - 11.2022

Data Scientist

Sezzle
07.2019 - 03.2021

Master of Science - Data Science

University of St. Thomas

Bachelor of Science - Industrial And Systems Engineering

University of Iowa

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