Talent Acquisition X-Ray

Ronald Lewis Jr.

***************@****.*** +1-615-***-****

CORE COMPETENCIES

Full-cycle recruitment, workforce planning, and high-volume hiring across diverse industries.

Boolean searches, X-ray sourcing, and leveraging specialized job boards for proactive talent sourcing.

Diversity & inclusion hiring, partnering with global hiring partners to drive inclusive strategies.

Recruitment marketing & employer branding, generating high-engagement content to attract top talent.

AI & data-driven hiring strategies, implementing predictive analytics and benchmarking analysis.

Process optimization & compliance, ensuring data integrity and structured recruitment metrics.

PROFESSIONAL EXPERIENCE

30% Increase in Door-to-Door Lead Conversions within first 60 days of script and team training implementation

25% Boost in Monthly Sales Volume by streamlining the lead-to-close process via CRM automation and canvassing team

Reduced Claim Follow-Up Time by 40% with virtual support rep and standardized communication scripts for supplements

Achieve Entrepreneur & Coworking Center

Senior Recruitment & Talent Strategy Lead Jan 2024 – July 2025

Implemented AI-driven talent attraction strategies, leading to a 35% YoY membership growth.

Built and maintained a 500+ candidate talent pipeline, achieving an 85% retention rate.

Reduced time-to-hire by 20% through process improvement and ATS enhancements.

Partnered with employer branding team to generate content that reached 1M+ views.

Utilized Boolean searches, X-ray sourcing, and agency partnerships to build a high-quality candidate pipeline.

Paid Properties LLC

Recruitment & Talent Acquisition Consultant July 2022 – Jan 2024

Optimized structured interview processes, leading to a 20% reduction in time-to-hire.

Designed and implemented data-driven recruitment metrics, improving forecasting accuracy.

Partnered with the Data Analytics team to improve data integrity and hiring insights.

Developed benchmarked hiring strategies, aligning with market trends and competitive analysis.

98% Accuracy in Document Handling & E-Signatures after implementing CRM and training team

Improved Team Retention by 60% through rollout of profit-sharing model and clear performance metrics

Launched 3 Social Media Campaigns resulting in over 1,000 local impressions and direct inquiries per month

Microsoft/Independent Consultant

IT Recruiter Diversity Hiring Specialist Aug 2021 – July 2022

Achieved 100% of DEI recruitment goals, increasing underrepresented hiring by 12%.

Reduced time-to-fill by 25% using AI-driven sourcing and Boolean search techniques.

Fostered strong relationships with 15+ global hiring partners to expand sourcing reach.

Managed 100+ active candidates weekly, ensuring efficient hiring operations.

Implemented process automation, increasing data accuracy and ATS efficiency by 40%.

Streamlined recruitment metrics evaluation, shifting from outdated data collection methods to real-time reporting.

TECHNICAL PROFICIENCY

Boolean searches, X-ray sourcing, specialized job boards, agency partnerships.

Applicant Tracking Systems (ATS): LinkedIn Recruiter, Greenhouse, iCIMS, Workday, SmartRecruiters.

CRM & HR Tech: BambooHR, JazzHR, Zoho Recruit, HubSpot

AI & Automation Tools: Predictive analytics, AI-driven sourcing, NLP-based resume parsing.

Social Recruiting & Branding: LinkedIn, Twitter, Instagram, Facebook, Glassdoor.

EDUCATION

Arizona State University

Bachelor of Science

Key Weekly KPIs to Track

Time to screen: Avg. days from sourcing to phone screen (goal: <3 days)

Time to submit: Avg. days from screen to submission (goal: <2 days)

Candidate pipeline health: 98.6% of roles with >5 viable candidates

Engagement rate: 100% of outreach with replies or interest

Interview feedback turnaround: Avg. time for HM to provide feedback (goal: <2 days)

My Usual Funnel Metrics (Weekly Averages)

Stage

Metric

Average Weekly Target

Sourcing

Candidates sourced

80–150 candidates

Outreach messages sent

60–120 messages

Response

Candidate response rate

20%–35%

Screening

Phone screens conducted

10–20 screens

Screening-to-submission ratio

50%–70% of screens

Submission to Hiring Manager

Candidates submitted

6–12 candidates

Submission-to-interview ratio

40%–60%

Interview Coordination

Interviews scheduled (all rounds)

5–10

Offer Stage

Offers extended

1–2

Offer acceptance rate

80%–90%

Hires

Hires made

1 (goal is often 3–4 hires/month)

100% Match

Artificial Intelligence (AI)

Machine Learning (ML)

Deep Learning

Natural Language Processing (NLP)

Reinforcement Learning

Neural Networks (CNNs, RNNs, GANs)

Transformers (BERT, GPT, etc.)

Large Language Models (LLMs)

Predictive Analytics

Generative AI

Data Analysis

Data Engineering

Data Visualization

Feature Engineering

Statistical Modeling

Algorithm Development

Optimization Algorithms

Regression Analysis

Clustering Algorithms

Decision Trees

Random Forest

Gradient Boosting (XGBoost, LightGBM)

Programming Languages

Python

Java

Cloud Platforms and Deployment

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Microsoft Azure

Kuberne

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