Machine Learning Private Equity

Bart Consedine

New York, New York 918-***-**** *************@*****.*** www.linkedin.com/in/bartconsedine EDUCATION

NEW YORK UNIVERSITY, Leonard N. Stern School of Business New York, NY Master of Business Administration, Tech MBA Program May 2023 Specializations in Management and Technical Operations

● Cohort Social Chair, Management Consulting Association, Community Service at Stern, Entrepreneurship & Startup Association, Private Equity and Venture Capital Club, Stern Investment Management & Research, Stern Rugby Club, Stern Student Government, Stern Technology Association EXPERIENCE

EY-Parthenon - Software Strategy Group (SSG) New York, NY Consultant 2024-Present

● Led comprehensive Technical Due Diligence engagements across diverse industries, focusing on technology and architecture assessments to evaluate and validate private equity investment theses

● Created exhaustive due diligence reports, presenting technical findings and recommendations to both technical and non-technical stakeholders, ensuring alignment with the investment strategy and risk mitigation

● Collaborated with Managing Directors of the SSG practice to deliver detailed evaluations of technology stacks, architecture robustness, technical debt, development methodologies, and overall technical readiness; performed comparative analysis of product feature sets against competitors to assess technical differentiation

● Conducted expert network interviews with current and former R&D personnel, key decision-makers, and end-users from target and competitor companies, gathering critical insights into key purchasing criteria Datametrics Technologies New York, NY

Machine Learning Consultant (Contractor) 2023

● Designed and implemented machine learning capabilities for an e-commerce analytics platform, developing a microservice that integrated regression and time series forecasting models to enable advanced sales forecasting

● Led modernization of the R&D team’s development practices by introducing Docker, automated testing, CI/CD pipelines, and other DevOps best practices, significantly enhancing the efficiency of development workflows

● Developed Generative AI prototypes leveraging OpenAI’s API to demonstrate the potential of large language models, showcasing transformative impacts on data analytics and client-facing deliverables Magnite Inc. New York, NY

Software Engineer 2021-2022

● Led front-end development for the user interface of SpringServe, an industry-leading video ad serving platform, ensuring timely product releases and user-friendly design.

● Spearheaded the implementation of regression testing, expediting critical product release cycles by several weeks and ensuring higher software quality and stability.

● Trained and mentored a junior developer to full competency in Ruby on Rails architecture, AngularJS coding practices, and the technical use cases of video ad server applications within the advertising technology space.

● Collaborated with cross-functional teams to optimize performance of the platform, driving efficiency and ensuring the scalability of core systems

TECHNICAL SKILLS AND ADDITIONAL INFORMATION (This section is highly customizable)

● Software Skills: ReactJS, NextJS, Python, Machine Learning, OpenAI API, Ruby, Ruby on Rails, Angular, Javascript, Typescript HTML and CSS

● Certifications: Software Engineering Immersive Program Completion, General Assembly, 2019

● Community Leadership: Chapter Advisor and Board Member, Sigma Phi Epsilon Alumni Board of Directors, 2012-2016

● Interests: Music (self-taught guitarist and pianist; favorite artist is the Sturgill Simpson); Snowboarding (lived in Colorado for three years and earned avalanche safety training certification

● Favorite karaoke song: Friends in Low Places by Garth Brooks

Contact this candidate