About – Kriti Singhal

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2+ Years

Data Analysis Experience

About Kriti Singhal

2+ years building fast, scalable Data Analysis Experience for UK/US/EU clients.

10+

Projects shipped

Clients served

5.0★

Average rating

Core expertise

Measurement & Attribution Lifecycle & CRM Agentic AI & Engineering Platforms & Visualization

Hire Me → Download Resume ↗

Where I’ve worked

Baz Bros

CRM Media Analyst

Jul 2025 – Apr 2026

Los Angeles, CA

→ Rebuilt attribution from last-click to Markov chain across Google, Meta, Amazon — surfaced $34.2K in misallocated budget, reoriented Q2 spend strategy

→ Built Bayesian MMM and geo-holdout frameworks to measure true channel contribution beyond platform-reported numbers

→ Ran A/B tests on creative variants measuring post-click CVR as primary signal — achieved 15% CVR improvement

→ Built AI Marketing Insights Copilot (Claude API, Python, Streamlit) — compressed 4–5 hour workflow to 45 seconds

Recyy

Marketing Analyst

Jul 2024 – Jan 2025

Lantana, FL

→ Diagnosed 80% subscriber drop-off as nurture problem, not targeting — redesigned Klaviyo flow, lifted repeat purchase rate +25%

→ Found $342 vs $38 LTV gap via RFM — shifted budget to Champions lookalikes, achieved 4.8x paid Instagram ROAS

→ Cohort repurchase window analysis drove 30% online sales lift through send-timing realignment

AI Priori

Marketing Consultant

Jun 2023 – Sept 2023

Washington, DC

→ Geo-holdout across 16 matched DMAs revealed 45% ROAS overstatement — Google Display at reported 2.9x had iROAS of 1.2x

→ Bayesian MMM (PyMC) projected 18.4% revenue uplift from reallocation without increasing total budget

→ Churn model (ROC-AUC 0.981) identified missed payments as 5x strongest churn signal — drove 18% churn reduction

Stack & skills

Analytics tools, methods, and systems

I work across measurement, modeling, visualization, and automation — choosing the right tool for the business question, not the other way around.

The stack is built to support decision-making end to end: from data access and modeling to clear, actionable reporting.

Let's Talk → See case studies →

Measurement & Attribution

Bayesian MMM (PyMC)
Geo-holdout incrementality
Markov MTA
Difference-in-Differences
iROAS / causal inference
A/B + Bayesian testing
Time series (Prophet)

Lifecycle & CRM

Klaviyo flow design
RFM & LTV segmentation
Churn prediction
Cohort & funnel analysis
HubSpot · Salesforce · Braze
Win-back & re-engagement
Customer journey mapping

Agentic AI & Engineering

Claude API
Python (pandas, scikit-learn, PyMC)
Streamlit + REST APIs
SQL · R
GA4 · Adobe Analytics · GTM
BigQuery · Snowflake
GitHub

Platforms & Visualization

Meta Ads · Google Ads · Amazon
Tableau · Looker Studio · Power BI
Shopify Analytics
Klaviyo · HubSpot · Marketo
Domo · Salesforce
SEMrush

M.Sc. Business Analytics

University of Massachusetts Amherst

3.7 GPA · 2024–2025

M.P.S. Integrated Marketing Communications

Georgetown University

3.9 GPA · 2022–2023

B.B.A. Business Administration

Lancaster University

3.5 GPA · 2016–2019

Insights that Drive Real Growth

Practical insights, performance strategies, and WordPress tutorials to build faster and smarter websites.

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