Samir Husain

Advertising marketplace analyst with 8+ years in programmatic monetization, auction pricing, experimentation, and forecasting. Translate SQL and Python analysis into product, pricing, and revenue decisions.

Ads monetization analytics

Ads business analyzed · Netflix

Ads + subscriptions portfolio led · Chegg

2 promotions

Chegg

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Experience Journey

Auction pricing, yield, and marketplace analytics for Netflix's ads business.

Identified bid-funnel inefficiencies and recommended traffic shaping to match bid opportunities with relevant advertisers, contributing to a lower bid-rejection rate.
Automated clearing-price dashboards, adopted across teams to replace manual pricing spreadsheets.
Standardized impression-weighted auction KPIs and corrected reporting errors, aligning teams, leadership, and partners on reliable marketplace insights for pricing decisions.

$1.5BAds business analyzed for auction pricing and advertiser concentration using SQL, Python, and cohort comparisons; shaped advertiser-diversification and pricing recommendations.

Led analytics for a $40M ads and subscriptions portfolio; built seasonality-aware traffic and ad-inventory forecasts to support direct-sales commitments, revenue planning, and executive decisions.

$600KSupported a 5% subscription revenue lift by analyzing retention, monetization, and funnel drivers.

$1MRevenue leakage identified through user-behavior and fraud analysis, informing detection-system improvements.

Shaped programmatic and direct-ad strategy through competitor and ad-journey analysis, and diagnosed ad-delivery failures from clickstream data.

$2.5MIncremental revenue driven by competitor and ad-journey analysis that shaped programmatic and direct-ad strategy.

$1.5MRevenue recovered by reconstructing clickstream sessions in Databricks SQL to diagnose ad-delivery failures; scenario modeling informed product plans.

Designed A/B test measurement for an ML-driven subscription-targeting initiative, defining test/control cohorts, primary and guardrail metrics, and statistical evaluation.

$3.5MEstimated incremental subscriber lifetime value from the A/B test measurement.

$400KSaved by migrating Adobe/Google Analytics data pipelines to an internal warehouse.

Configured databases and built dashboards and API integrations.

60%Reduction in manual reporting time.

Benchmarked programmatic ad revenue across US publishers and built an R-based identifier-standardization system.

$700MProgrammatic ad revenue benchmarked across 30 US publishers to inform product strategy.

75%Reduction in manual work from an R-based identifier-standardization system that also improved data accuracy.

Skills

Programming & Data

SQL · Python (pandas, notebooks) · R · Databricks · BigQuery · Redshift

Statistics

A/B experiment design/evaluation · Hypothesis testing · Regression

Forecasting & Marketplaces

Revenue forecasting · Traffic/ad-inventory forecasting · Auction dynamics · Yield management · Pricing

Tools

Tableau · Power BI · Google Ad Manager · Google Analytics

Side projects

Next.js · React · TypeScript · Supabase · Swift (basic)

Education

Purdue University, Krannert School of Management

Master of Science in Business Analytics and Information Management

May 2020

Dean's List

Built an automated computer vision tool using Tesseract OCR and TensorFlow to identify labels from product images with 93% accuracy, delivering $7.5M in potential savings.

Birla Institute of Technology and Science

Master of Business Administration

June 2017

Rajiv Gandhi Technical University

Bachelor of Engineering, Electronics and Communication

June 2015

Samir Husain

Experience Journey

Netflix

Associate, Revenue and Yield Analytics

Chegg Inc.

Manager - Ads and Subscription Analytics

Senior Business Analyst - Ads

Business Analyst - Ads

STAQ Inc.

Support Analyst

DataBeat Consulting Ltd.

Business Analyst