Structuring whatthe modelsleave out.

Four research initiatives convert qualitative friction into bounded analytical outputs. Geopolitical events, SEC footnotes, workforce records, and diligence materials become reviewable scores, ledgers, and risk signals.

Messy evidence enters.
A bounded output leaves.

Four source types enter with different structures and the same obligation: preserve what supports the conclusion.

The number is the deliverable. Everything else is context.

Four systems.
One research discipline.

Distinct domains, one insistence on bounded outputs and traceable evidence.

PLATE · 01 VALIDATED

GEOPOLITICAL VOLATILITY SIGNAL

Project Goldstein

Geopolitical instability may predict movement magnitude, not direction.

Regional conflict events become a reviewable variance signal with false positives left visible.

Hit rate
64.4%
Spearman IC
0.23
Events
323
Read research
PLATE · 02 AUDITED PIPELINE

SEC FOOTNOTE QUALITY ENGINE

Project Caligula

Footnotes become auditable quality signals before valuation conclusions.

Filing language resolves into a point-in-time ledger with each value linked to its extraction row.

Pillars
8
Names
31
Ledger
PIT
Read research
PLATE · 03 IN DEVELOPMENT

PRIVATE EQUITY · HUMAN CAPITAL

CHC Platform

Workforce signals deserve structured diligence before close.

Public records and primary diligence inputs resolve into a descriptive diagnostic, not a prediction.

Components
5
Risk tiers
4
Turnaround
72h
Read research
PLATE · 04 LOCAL RESEARCH BUILD

DILIGENCE RISK ENGINE

SectorRisk Agent

Every risk claim should trace back to evidence.

Retrieval, contradiction checks, and analyst review produce a cited memo with explicit coverage limits.

Categories
10
Formats
5
Tests
3/3
Read research

Project
Goldstein

Geopolitical Volatility Signal

Geopolitical instability may predict movement magnitude, not direction.

01 · GROUP Events align by region and observation date without discarding their identifiers.

02 · COMPARE A variance score is tested beside ETF movement rather than forced into a directional claim.

03 · DISCLOSE False positives and warm-up exclusions remain visible in the validation record.

Read Goldstein research →
Hit rate
64.4%
Spearman IC
0.23
Events
323

Project
Caligula

SEC Footnote Quality Engine

Footnotes become auditable quality signals before valuation conclusions.

01 · EXTRACT Relevant filing language is highlighted without detaching it from the original note.

02 · LOCK Facts populate a point-in-time ledger with filing date, page, and extraction lineage.

03 · RESOLVE Eight sector-normalized pillars form the research output before the valuation overlay.

Read Caligula research →
Pillars
8
Names
31
Ledger
PIT

CHC
Platform

Private Equity · Human Capital

Workforce signals deserve structured diligence before close.

01 · CATEGORIZE Public workforce records and primary diligence inputs enter five independent components.

02 · NORMALIZE Sector benchmarks align observations before a 0–1 composite is calculated.

03 · DELIVER A four-tier Cultural Health Certificate enters the data room with narrative flags.

Read CHC research →
Components
5
Risk tiers
4
Turnaround
72h

SectorRisk
Agent

Diligence Risk Engine

Every risk claim should trace back to evidence.

01 · RETRIEVE Domain categories focus retrieval across five diligence file formats.

02 · CHALLENGE Claims remain linked to passages while contradictions surface as review items.

03 · REVIEW Human decisions close each checkpoint before a cited Markdown memo can export.

Read SectorRisk research →
Categories
10
Formats
5
Tests passed
3/3

Different domains.
Shared operating rules.

Most qualitative risk outputs cannot be compared, backtested, or revisited. These projects begin with the opposite constraint. Each system must produce a bounded output, preserve evidence, document limitations, and support review.

TRACE A PROJECT

G Goldstein C Caligula H CHC S SectorRisk

Publish the
false positives.

Methodological honesty is part of the output. Limitations sit beside claims so a reviewer can see where the evidence stops.

01Project GoldsteinFalse positives / warm-up

Crossing events are evaluated against subsequent variance, not direction. False-positive markers remain in the validation view, and warm-up observations are excluded under the documented threshold.

BOUNDARY · SIGNAL ≠ TRADE RECOMMENDATION
02Project CaligulaPoint-in-time / audit boundary

Observations are locked to filing cutoffs and source rows. The quality ledger structures disclosed evidence; it does not make the valuation conclusion or repair omissions in issuer filings.

BOUNDARY · DISCLOSED DATA ONLY
03CHC PlatformDescriptive / diagnostic

The framework is descriptive and most comparable within a single sector until sector normalization is complete. It does not claim predictive ability for deal outcomes.

BOUNDARY · IN DEVELOPMENT
04SectorRisk AgentHuman review / coverage

Missing evidence is reported as insufficient evidence. Retrieval coverage depends on supplied materials, and every risk output requires human review before export.

BOUNDARY · LOCAL RESEARCH BUILD

None of these projects should claim beyond available evidence.

Research built across
finance, risk, and data science.

I build research systems for questions that conventional models handle poorly. The work focuses on converting qualitative evidence into bounded, traceable outputs without replacing analyst judgment.

View repositories ↗
Name
Pratham N. Shah
Institution
University of Illinois Chicago
Field
Data Science
Active research
Four initiatives
Authored
2022–2026

Research
correspondence.

Methodology questions, academic discussion, collaboration proposals, and documentation requests are welcome. Correspondence should engage directly with the work.

01Project Goldstein variance signal

02Project Caligula footnote quality

03CHC Platform human-capital diligence

04SectorRisk Agent source-backed risk