Colin Bowen

Experience

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  Johns Hopkins Whiting School of Engineering

  Feb 2018 - May 2019

  Co-Coordinator of Intramural Sports at Johns Hopkins

  - Primary responsibilities include scheduling, recruitment, and addressing player and staff experience. - Consistent communication to optimize facility usage while minimizing scheduling conflicts, coordinating schedules between officials and players. Standardization of the scheduling process using ledgers. - Recruitment of new officials. - Improvement of the player experience by examining participation statistics and survey results.

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  Universidad Pontificia Comillas

  Jun 2018 - Aug 2019

  Research Assistant in Power Systems

  - Winner of $7000 Vredenburg Travel Scholarship (2018), Summer 2018 at The Institute for Research in Technology, the graduate research institute at the School of Engineering of Comillas Pontifical University - Winner of $4000 Provost's Undergraduate Research Award (2019)- Authored poster Statistical Validation Metrics for Power System Network Models- sna and network packages in R.- This experience introduced me to many of the most cutting-edge models, algorithms, and approaches to solving power system problems. I borrowed from disciplines such as electrical engineering, computer science, and statistics to develop synthetic network models for high-voltage transmission grids. Show less

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  Constellation

  Jun 2019 - Aug 2019

  Trading Analyst

  At Constellation, an Exelon Company, I participated in the 10-week summer internship program where I worked with power traders, market analysts, and DevOps to develop improved forecasts for power prices, deploy automated processes, and learn more about US energy markets. Taking advantage of the Python data stack and SQL, I learned about time series, Monte Carlo simulation for forecasting, and database interaction.

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  ARPA-E

  May 2020 - Aug 2020

  Tech-to-Market Summer Scholar

  Reviewed proposals to the PERFORM program.

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  InBalance

  Jan 2021 - Feb 2022

  Head of Analytics

  Full‑time lead for power market research to identify data sources for ingestion by modeling team through literature review, customer conversations, and data analysis. Identified over 100 new datasets and built scrapers/API integrations using shell and Python jobs.• Implemented algorithm for optimal 24 hour dispatch of battery storage based on internal market forecasts using pyomo and gurobipy APIs. Improved revenue performance by 20% over baseline methods.• YCombinator W21 company. Helped raise over $1m in equity financing in dozens of investor calls. Show less

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  Atomic

  Mar 2022 - May 2023

  • Product manager for payroll data powered products. Improved conversion rates by 12%.• Launched Earned Wage Access product that grew from 0 to 3 pilot customers in 4 months.• Updated product pricing to improve net profit margin per user by 700% on multiple customer contracts.• Coordinated cross‑functional team of data scientists and ML engineers to launch new search algorithm that improved conversion by 7%. • Created new KPIs and metrics to inform prioritization, and implemented visualizations in Looker and Databricks SQL/Python.• Designed and launched several UX A/B tests that raised conversion by 7%.• Wrote data models and queries in LookML to surface SQL database to Looker BI tool, improving analyst efficiency and query performance.

  • Product Manager

    Oct 2022 - May 2023

  • Product Operations Manager

    Mar 2022 - Oct 2022
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  Carbon Arc

  Sept 2023 - Mar 2024

  Machine Learning Engineer
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  British Airways

  Apr 2024 - now

  Data Scientist