Astronomer, Inc.
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January 2022 - Present |
Product Manager
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Remote
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- Lead new product initiative to improve data engineer experience in Apache Airflow
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The Boston Consulting Group
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Jun 2021 - Aug 2021 |
Incoming Summer Associate
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Dallas, TX
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- Performed large-scale transformation across all functional areas for top 3 grocery chain resulting in ~$2bn savings across 2 years
- Received full-time return offer
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Astronomer, Inc.
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Mar 2021 - June 2021 |
Software Engineering Intern
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Remote
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- Contribute code and documentation directly to open source project
apache/airflow
- Write DAGs using Apache Airflow and Sphinx-based documentation parser in Python for the Astronomer Registry
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Rosetta Analytics, Inc.
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Jun 2020 - Mar 2021 |
Quantitative Research Intern
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Remote
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- Developed and analyzed quantitative trading strategies using machine learning ensembles to predict short term price movements in various public securities in Python, R, Excel, and AWS
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The Boston Consulting Group
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Mar 2019 - Oct 2020 |
Independent Contractor
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Dallas, TX
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- Increased energy utility client distribution reliability ~20% across power outage frequency, duration, and severity by recommending client focus areas based on analytics done using Excel, Alteryx, Power BI, Tableau, and R
- Managed team of technical contractors to develop a web-based project reliability optimization tool and machine learning outage prediction model that predicts at-risk areas based on historical data for large energy distribution utility
- Collaborated with team of 5 on successful project performance which won client approval to extend project 16 months and received “Best-in-Class” project recognition from BCG CEO, Rich Lesser
- Note: classified as independent contractor due to college tenure and BCG HR restriction on internship candidates
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NTT DATA Services
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May 2018 - Apr 2019 |
Corporate Finance Intern
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Plano, TX
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- Developed IT integration playbook to shorten time taken to estimate post-merger IT integration costs and timelines
- Analyzed quantitative trends of won and lost Applications deals from FY17 to FY19 to identify more effective pricing, resulting in improved win rate
- Re-engineered financial forecast process to create a single global procedure, including a quarterly, bottoms up and monthly top down approach for a $4 billion international IT services company
- Reduced workload of financial analysts by several days per quarter and increased forecast accuracy by 20% through implementation of new automated technologies and corporate policies and procedures
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