JOHN DOE // DECISION SCIENCE KERNEL v4.2 ● SAN FRANCISCO NODE
> MOUNTING IN-MEMORY DUCKDB & SNOWFLAKE TELEMETRY... OK
> CALIBRATING 2D RIGID-BODY KINETIC FIELD (22 NODES)... OK
> SYNTHESIZING PROCEDURAL WEB AUDIO ENGINE... READY
WORKSPACE INITIALIZATION 00%
AUTO-MOUNTING IN 1.1s
LATENCY: 0.4ms SCHEMA: STAR_MART_V9
LIVE TELEMETRY FIELD 22 FORCE-DIRECTED DATA CAPSULES
ACOUSTIC ENGINE: PENTATONIC MARIMBA
JOHN DOE — STAFF DATA ANALYST & DECISION SCIENTIST

Turning noisy telemetry into $48M+ decisions.

I architect causal inference frameworks, production dbt/Snowflake marts, and high-velocity experimentation systems for category-defining technology companies. // Interact with the floating telemetry capsules or switch force-field modes below.

FIELD MODE:
Verified Impact
$48.2M+
A/B Experiments
190+
Events Modeled
12.4B/mo
// 02. INTERACTIVE DATA ESSAY (SCROLL OR CLICK STEPS)

The Anatomy of a $14.2M Revenue Leak

How isolating 260 behavioral micro-cohorts across 18M checkout events uncovered an invisible mobile API latency bottleneck.

PHASE 01 // RAW TELEMETRY CHAOS 18.4M EVENTS

Blended Metrics Masked the Bleed

Top-line conversion looked stable at 3.42% because surging desktop enterprise traffic offset a silent collapse in mobile checkout completion.

PHASE 02 // COHORT ISOLATION 4 ACQUISITION CHANNELS

Stratifying by Channel & Device

Using DuckDB & Polars, we decomposed the 260 particle clusters into four acquisition bands: Organic, Paid Search, Partner API, and Enterprise.

PHASE 03 // CAUSAL BOTTLENECK p = 0.00002

Checkout v4.2 Latency > 1,800ms

Propensity-score matching isolated the exact culprit: uncached tax-calculation payloads on iOS Safari were timing out, leaking $14.2M in annualized ARR.

PHASE 04 // AUTOMATED RECOVERY +$14.2M RECOVERED

Edge-Cached Remediation Curve

Deploying Redis edge-caching dropped P95 latency from 1,940ms to 180ms, snapping the leaky cohort into an ascending +24.8% conversion trajectory.

PHASE 01: UNCLUSTERED EVENT STREAM

260 Behavioral Cohort Nodes (n = 18.4M sessions)

RECOVERED ARR IMPACT
$0.0M
HOVER PARTICLES TO INSPECT
// 03. ANALYTICS ENGINEERING & DATA QUALITY

Interactive "Dirty-to-Clean" ETL Scrubber

← RAW STREAM (14.8% CORRUPTED) DBT GOLD MART (99.98% VALID) →
DRAG SCRUBBER TO WIPE BETWEEN RAW WEBHOOK STREAM & DBT STAR SCHEMA:
RAW GOLD
✓ prod_mart.fct_orders_validated GREAT EXPECTATIONS: 42/42 PASSED
PK ENFORCED • UTC ISO-8601 • DEDUPLICATED
ORDER_UUID (PK) CUSTOMER_ID (FK) EVENT_TIMESTAMP_UTC NET_AMOUNT_USD ATTRIBUTION_CHANNEL SCHEMA_STATUS
ord_8f92a1c04b cust_90412 2026-03-14T18:22:10Z $420.00 organic_search VALIDATED
ord_3d71e8b92a cust_11840 2026-03-14T18:24:05Z $1,250.00 enterprise_outbound IMPUTED_FX
ord_6c19f4a03e cust_55201 2026-03-14T18:25:49Z $89.50 paid_social_video DEDUPED
ord_9a44b2d81f cust_77319 2026-03-14T18:29:12Z $640.00 partner_api_v3 VALIDATED
DBT MODEL: int_orders_cleansed.sql → fct_orders_validated.sql NULL RATE: 0.00% // DUPLICATES: 0
⚠ raw_kafka.webhook_checkout_dump ANOMALIES DETECTED: 14.8%
UNSTRUCTURED JSON • MIXED TZ • DUPLICATE KEYS
raw_id user_ref client_ts cart_val utm_source_raw ingestion_flag
8f92a1c04b (DUP) NULL 1710440530 (EPOCH) -$420.00 (NEG) Gooogle_Organic?? CORRUPT_SIGN
3d71e8b92a USR#11840 03/14/26 2:24PM PST 1250,00 EUR? [object Object] TZ_MISMATCH
6c19f4a03e (x3) 55201 N/A (TIMEOUT) $89.50000001 fb_ig_reel_9921 RETRY_DUP
9a44b2d81f undefined 2026-14-03 (INVALID) $640 partner//api MISSING_FK
RAW KAFKA TOPIC: checkout_events_unfiltered NULL RATE: 14.8% // DUPLICATE RETRIES: 6.2%
⇄
// 04. IN-BROWSER SQL WORKBENCH & EXPORT

Multi-Mode SQL & Visual Sandbox

duckdb://marts/saas_ndr.sql
12.4 ms
EXECUTIVE FINDING //

QUERY OUTPUT TELEMETRY

SaaS Net Dollar Retention (%)

// 05. CAUSAL EXPERIMENTATION ENGINE

Bayesian A/B & Monte Carlo Simulator

01. SAMPLE TRAFFIC (SESSIONS) 140,000
02. CONTROL BASELINE CVR (%) 3.40%
03. VARIANT RELATIVE LIFT (%) +12.5%
04. AVERAGE ORDER VALUE ($) $160
STATISTICAL VERDICT
★ SHIP VARIANT B
PROJECTED ANNUAL REV
+$1,142,400
Control Posterior Variant B Posterior
P(B > A): 99.7%
MIN DETECTABLE EFFECT (MDE): 2.1% 95% CREDIBLE INTERVAL: [+7.8%, +17.2%]
// 06. PRODUCTION ARCHITECTURE & IMPACT

Selected Decision Science Case Studies

● AVAILABLE FOR STAFF ANALYST & PRINCIPAL ADVISORY ROLES

Ready to turn raw warehouse tables into compounding margin?

7+ years leading analytics engineering and decision science across Series C–Public SaaS & FinTech leaders in San Francisco. Execute the query or press ⌘K to connect.

snowflake://prod.talent_mart ● READY
SELECT email, github, calendar_link
FROM staff_decision_scientists
WHERE full_name = 'John Doe'
  AND base_city = 'San Francisco, CA';