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Brandon Pak

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New York, United States

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Full-time jobs

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Résumé


Jobs verified_user 0% verified
  • McKinsey & Company
    Senior Machine Learning Engineer
    McKinsey & Company
    May 2022 - Jul 2025 (3 years 3 months)
    Led multiple high-impact AI initiatives for clients in healthcare and e-commerce, delivering ML-powered solutions to optimize patient journeys and retail forecasting. • Led the end-to-end development of machine learning solutions across the healthcare and e commerce industries, driving major business transformations by leveraging advanced AI technologies to optimize patient journeys and retail forecasting. I guided cross-functional teams through the entire lifecycle, from ideation and research to implementation and deployment. • Designed and deployed Generative AI applications using advanced LLMs, LangChain, and LangGraph to automate documentation processes and assist healthcare professionals with decision support. This included building
  • Epic Games
    Machine Learning Engineer
    Epic Games
    Jul 2019 - Apr 2022 (2 years 10 months)
    Implemented AI features to enhance user experience, safety, and personalization for top-tier games. • Designed and implemented real-time ML models using PyTorch and TensorFlow to personalize gaming experiences, enhance matchmaking, and predict player churn. This included the creation of dynamic models that adapted to player behavior and game performance. • Developed and deployed recommendation systems to surface relevant in-game content, boosting player engagement and retention. These systems were tailored to provide personalized content to each player based on their actions and preferences. • Built deep learning models for player behavior classification and automated moderation, utilizing NLP and action detection to filter inappropriate
  • Upstart
    Data Scientist
    Upstart
    Jun 2017 - May 2019 (2 years)
    Delivered ML systems for credit scoring, fraud detection, and customer analytics. • Developed credit risk assessment models using Scikit-learn and XGBoost to enhance loan underwriting accuracy, reducing default rates and improving decision-making for financial products. • Created customer segmentation models using clustering and classification techniques, enabling more targeted marketing campaigns that significantly boosted customer engagement and conversion rates. • Forecasted financial trends through time-series analysis, providing insights for cash flow management and strategic financial planning to optimize resource allocation and mitigate risks. • Designed and implemented ETL pipelines using Airflow, dbt, and Presto to automate fea
  • B
    Data Analyst
    Buske Logistics
    Jul 2015 - May 2017 (1 year 11 months)
    Analyzed and optimized global supply chains using ML and predictive modeling. • Analyzed global logistics data to identify supply chain inefficiencies, providing actionable insights that supported optimization initiatives and enhanced operational performance. • Built demand forecasting models using TensorFlow and Spark MLlib, improving inventory control and reducing stockouts by accurately predicting demand patterns across various regions. • Designed anomaly detection systems leveraging real-time data from Apache Kafka and Spark to monitor supply chain operations, proactively identifying and mitigating disruptions. • Developed interactive dashboards in Power BI and Looker to visualize key supply chain metrics, enabling business stakehol
Education verified_user 0% verified
  • Golden Gate University
    Master's degree
    Golden Gate University
    Jan 2014 - Jan 2015 (1 year 1 month)
  • Case Western Reserve University
    Bachelor's degree
    Case Western Reserve University
    Jan 2010 - Jan 2014 (4 years 1 month)