Req2

The science of the
requisition.

Applied Analytics for Talent Acquisition.

BY VICTOR ALBERTS

The Requisition.

At the center of every stalled requisition is a conversation that never happened.

Let's start it — before it's too late.

THESIS
What is the Product in Talent Acquisition?
The requisition isn't just a job posting. It's a measurable unit with a lifecycle, predictors, and a shape. This is the thesis behind RequisitionIQ.
PRESENTATION
How does a Requisition know it's in trouble?
The RequisitionIQ Framework measures every filled req against its peer group across the hiring lifecycle. Z-scores surface which reqs are slower, leaner, or stalling compared to similar roles, turning raw pipeline data into actionable signals you can apply to future hiring.
REGRESSION
Multiple Regression, Subset Selection, and K-Folds on the Boston Dataset
Applied walkthrough from POMS.6120 Statistics for Predictive Analytics. Step-by-step model fitting, residual analysis, and method comparison using R.
CLASSIFICATION
Decision Trees, Naive Bayes, Logistic Regression, and Support Vector Machines on the OLIST Brazilian E-Commerce Dataset
Work in-progress walkthrough from MIST.6060 Machine Learning (Business Intelligence & Data Mining). Ensemble Model Evaluation, and step-by-step comparison.

Copyright (C) ReqSquared. All Rights Reserved.

✕

Victor Alberts

Talent Acquisition Analytics

Started in Boolean.

(2007..2016) AROUND(3) ("sourcing" OR "talent community" OR "recruitment marketing" OR avature)

Hung up my sourcing hat to sit between executives and the data lake.

To VP, Global COE — Talent Acquisition
Subject Analytics Roadmap & Workforce Planning
New blueprint ready to present. Headcount walk and capacity updates. Last few slides are our wish list…

Now I'm building RequisitionIQ

A Talent Acquisition Decision Engine

Let's talk.
About Me