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DF1

Data analytics, machine learning, and systems design

Analysis that holds up, delivered as systems people actually use.

DF1 builds analytical models and the systems that put them to work. The firm pairs graduate training in economics and finance with two decades of running operations in live broadcasting, where a workflow either holds under load or fails in front of an audience.

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Data analytics and modeling

Defined questions answered with econometric and statistical models whose assumptions are stated and whose results are sized to the evidence.

Machine learning and AI systems

Predictive models and retrieval-augmented systems built to be checked: validated against held-out data, grounded in sources, and explicit about where they stop.

Systems and workflow design

Pipelines, applications, and the operating processes around them, designed so that analysis reaches the people making the decision and keeps working once it does.

Where the work goes deepest

Featured work

ComputePower: PJM Grid Vulnerability Under Data Center Load Growth

Data center electricity demand in the United States nearly doubled between 2023 and 2026, and grid capacity has become the binding constraint on where new compute can be sited. Ranking which zones absorb that load safely means holding several moving quantities together at once: price volatility, congestion stress, existing data center concentration, and the queued generation that might relieve any of it.

Result. All 21 PJM zones ranked and re-ranked in real time as load growth and queued solar assumptions move, presented on an interactive map for readers who will not open a notebook. Because normalization anchors are fixed to the baseline period, a zone's score means the same thing across scenarios, which is what makes the comparison usable rather than merely responsive.

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