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Vetted Data Analysis Professionals

Pre-screened and vetted.

KJ

Junior Industrial-Organizational Psychology professional specializing in people analytics and research

New York, NY4y exp
New York UniversityNYU
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KP

Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail

Jersey City, NJ5y exp
S&P GlobalNJIT
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WW

Mid-level Software Engineer specializing in FinTech data pipelines and backend systems

Midtown, NY3y exp
QundamentalNYU
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AJ

Senior HR Business Partner specializing in global people strategy and organizational effectiveness

Brooklyn, NY9y exp
CaptifyThe Chicago School of Professional Psychology
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AM

Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms

Tennessee, USA5y exp
McKessonUniversity of Memphis
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JW

Senior Operations & Analytics Leader specializing in client delivery and data-driven growth

Chicago, IL4y exp
Circana
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DG

Senior QA Analyst specializing in manual/automation testing for Guidewire, Salesforce, and E2E systems

Lakeland, FL12y exp
Publix
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RJ

Senior QA Analyst specializing in web and CMS testing

Cordon, Isabela, Philippines8y exp
Accenture
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SJ

Senior Amazon Brand Manager specializing in Private Label growth and PPC

7y exp
Amazon
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PS

Perry Shaffer

Screened ReferencesStrong rec.

Director-level Staffing Operations & Sales Leader specializing in business development

Dallas-Fort Worth, TX34y exp
Bluecore Staffing LLCUniversity of Arkansas

Light industrial staffing operations leader who scaled from multi-unit branch manager to Market VP overseeing four Dallas–Fort Worth branches (~$63M annual volume) and 56–58 direct reports. Known for data-driven SOP/operations turnarounds that lifted revenue 30%+ and gross profit 25%+ (President’s Club top 10%), plus leading a multi-market Employee Bridge mobile app pilot and tightening E-Verify compliance for high-volume accounts like HelloFresh.

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PR

Pranali Redij

Screened ReferencesStrong rec.

Marketing Analytics & Marketing Operations professional specializing in CRM and automation

Syracuse, NY4y exp
WicketSyracuse University

Lifecycle/CRM marketer with hands-on HubSpot expertise who improves funnel performance by fixing data foundations (workflow logic + validation), then building lifecycle segmentation, nurture sequences, and measurement dashboards tied to CAC/ARR. Has driven measurable lifts in data accuracy, early lifecycle engagement, and lead qualification through targeted messaging and A/B-tested email optimization across companies including Wicket and Beekind.

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VA

Veronica Andrews

Screened ReferencesStrong rec.

Executive Chief People & Operations Officer specializing in HR strategy and operational scale

Brooklyn, NY16y exp
MirimusYork College (CUNY)

People/HR leader with deep org design and change-management experience, including leading a full-company restructuring at Mirimus in direct partnership with the CEO and VPs. Known for combining systems thinking with rigorous people analytics (engagement, churn, capacity, performance signals) to diagnose root causes, redesign operating models, and coach senior leaders through high-stakes transitions and ER situations.

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DK

Derya Kazak

Screened ReferencesStrong rec.

Director-level HR leader specializing in change management, employee relations, and talent development

Armonk, NY10y exp
Fluent CannabisRutgers Law School

Strategic HR leader with experience managing global teams (India/Brazil/Canada) and partnering on immigration and multi-country regulatory considerations. Has driven major org changes including implementing an attendance policy across 14 logistics locations and restructuring an HR department to align with growth, using a data-driven approach (turnover, time-to-hire, performance, exit interviews). Target compensation is around $150K, flexible based on total package.

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RL

Rodolfo Lopez

Screened ReferencesStrong rec.

Senior Math Educator transitioning to Data Science & Business Analytics

San Antonio, TX15y exp
NYOS Charter SchoolUniversity of Texas at Austin

Recent McCombs School of Business (UT Austin) Post Graduate Program graduate in Data Science & Business Analytics with hands-on project experience spanning stock clustering/segmentation and hotel booking-cancellation prediction. Strong in end-to-end analysis workflows (EDA, cleaning, feature engineering) and rigorous model comparison/selection, with exposure to boosting methods and imbalanced-data techniques; limited experience so far with embeddings/vector databases and production deployment.

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EA

Elizabeth Angle

Screened ReferencesStrong rec.

Senior Executive Recruiter specializing in Accounting & Finance and recruiting operations

Fort Worth, TX14y exp
Bluebonnet SocialSaint Louis University

Talent/recruiting operations leader who built and managed an 8–10 person recruiting team and created training, onboarding, and standardized processes to support high-volume staffing for new and existing branches across the US. Known for improving recruiter–branch manager communication and implementing structured timelines/checklists to keep office openings on track; experienced with Bullhorn (including Textkernel) dashboards and team enablement.

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SS

Scott Smith

Screened ReferencesStrong rec.

Director of Talent Acquisition specializing in high-volume and executive recruiting

Dallas, TX21y exp
TargetbaseUniversity of Maryland, Baltimore County

Talent/Recruiting Operations leader who has managed small TA ops teams and redesigned hiring workflows to speed decisions and improve quality. Drove measurable outcomes (time-to-hire cut to 38 days; first-year turnover down 6%) and has led cross-functional ATS implementations (Taleo, Greenhouse) while supporting fast, high-volume creative hiring with strong process and documentation.

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NJ

Mid-level AI/ML Engineer specializing in Generative AI and RAG pipelines

NJ, USA6y exp
Molina HealthcarePace University

AI/LLM engineer with healthcare domain experience who built a production clinical support “chart bot” for Molina, including PHI-safe ingestion of 200k+ PDF policies, vector retrieval, and a fine-tuned LLaMA served via vLLM on ECS Fargate. Demonstrated measurable performance wins (HNSW + namespace partitioning; 30% inference latency reduction) and a rigorous evaluation/monitoring approach, while partnering closely with nurses and operations teams to shape workflows and guardrails.

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CK

Mid-Level Full-Stack Software Developer specializing in enterprise web applications

Oklahoma City, OK2y exp
PaycomOklahoma State University
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LM

Mid-level Data Scientist / Machine Learning Engineer specializing in NLP and computer vision

Austin, TX6y exp
ArtisightUniversity of Northern Colorado
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AM

Mid-level Enterprise Account & Business Development Manager specializing in strategic technology clients

San Francisco, CA8y exp
Unify ConsultingSan José State University
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SP

Senior QA Automation Lead specializing in Selenium, Java, BDD, and API testing

Louisville, KY12y exp
Papa Johns
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DC

Mid-level Full-Stack Developer specializing in FinTech, Healthcare IT, and Generative AI

USA4y exp
Inspira FinancialUniversity of Texas at Arlington

Full-stack + ML engineer who built “Finsight,” a real-time financial risk platform (React/FastAPI/MongoDB/AWS Lambda) processing 2M+ records monthly, using sharding and Redis caching (60% DB load reduction) plus async and batch optimizations. Also has healthcare product experience at Apollo Healthcare, partnering directly with clinicians/admins to design and iterate EHR dashboards via Figma prototyping and user testing, and demonstrates clear system design thinking for real-time voice-to-LLM architectures.

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NM

Senior Digital Marketing & Advertising Leader specializing in multichannel campaign operations

Raleigh, NC8y exp
ReliasNorthwood University

Paid media performance marketer with hands-on ownership of a $100K/month higher-education account spanning LinkedIn, Google Ads, and programmatic display/video. Built a structured 6-week experimentation approach (2-week test intervals) and used geo-fencing to reach military audiences, exceeding attendance goals for online MBA informational sessions (avg ~45 attendees vs 30 target). Strong in diagnosing stalled performance and translating complex metrics into client-friendly insights.

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