Vetted Dashboard Development Professionals

Pre-screened and vetted.

CJ

Clidner Joseph

Screened ReferencesStrong rec.

Senior Talent Acquisition & Recruiting Operations Partner specializing in hiring analytics

New York, NY6y exp
Omnicom Media GroupBaruch College

Recruiting leader in the agency/media space (Omnicom/Hearts & Science and WPP Media) who manages a small recruiter pod and builds operational systems to improve hiring outcomes. Known for process standardization and change management (Greenhouse templates, SLAs, automation) and for measurable stakeholder impact—e.g., cutting hiring manager response lag to 48 hours and partnering with a CFO to prioritize/stagger hiring based on capacity and budget.

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Luka Baljak - Senior Software Engineer specializing in full-stack web and AI-powered SaaS in Baljak Luka, Serbia

Luka Baljak

Screened ReferencesStrong rec.

Senior Software Engineer specializing in full-stack web and AI-powered SaaS

Baljak Luka, Serbia7y exp
FivetranUniversity of Belgrade

Frontend-leaning product engineer who took broad ownership of a recently launched AI-powered customer support chat designed to deflect support tickets. They designed the overall system, built the full frontend, contributed to backend work, and served as a key source of product and technical continuity for a globally distributed team.

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JS

Johnnie Sanders

Screened ReferencesModerate rec.

Executive AI Architect specializing in enterprise cloud and FinTech solutions

Lewisville, TX15y exp
11-11 Solutions Ent.Purdue University

Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.

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Dhananjay Sharma - Mid-level Full-Stack Engineer specializing in AI and FinTech platforms in Stony Brook, NY

Dhananjay Sharma

Screened ReferencesModerate rec.

Mid-level Full-Stack Engineer specializing in AI and FinTech platforms

Stony Brook, NY6y exp
State University of New York - Research FoundationStony Brook University

Full-stack engineer who built RegArt’s product from 0→1 for enterprise compliance users at clients like HSBC and EY, including the production React frontend, backend APIs, and an LLM-powered search experience. Particularly compelling for startups needing someone who can move across UI, API, and data layers, make pragmatic architecture tradeoffs, and ship fast without over-engineering.

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JG

Jamey Goddard

Screened ReferencesModerate rec.

Senior Project Manager specializing in defense, FinTech, and real estate operations

New York, NY7y exp
Defense Health AgencyUniversity of Colorado Boulder

MBA-trained project manager with experience spanning retail, commercial real estate, payroll operations, and government compliance. Has served as an owner's representative at CBRE, managed contractor hiring and training at Gusto during peak volume, and now coordinates a complex Department of Defense healthcare initiative involving 40+ stakeholders and significant change management.

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Janine Casale - Director-level operations leader specializing in franchise and enterprise transformation in Parsippany, NJ

Janine Casale

Screened ReferencesModerate rec.

Director-level operations leader specializing in franchise and enterprise transformation

Parsippany, NJ29y exp
Wyndham Hotels & ResortsLynn University

Operations and business transformation leader with experience spanning franchise advisory and large-scale enterprise execution, most recently as Senior Director of Operations Solutions & Engagement at Wyndham Hotels & Resorts. Stands out for building structure in ambiguous environments, leading cross-functional initiatives across operations, legal, technology, sourcing, and brand teams, and using analytics tools like Power BI and Salesforce to turn fragmented processes into scalable, insight-driven systems.

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HZ

Harvey Zhang

Screened ReferencesModerate rec.

Staff Platform Engineer specializing in healthcare systems and observability

Buffalo Grove, IL24y exp
CVS HealthNorthern Illinois University

Hands-on production engineer with deep Oracle tuning and observability-driven troubleshooting experience in a 24x7 healthcare system used by pharmacists across the U.S. While not yet hands-on with GCP databases, they bring strong transferable cloud and platform experience from AWS/Azure, including migration work, memory leak remediation, HA/DR operations, and end-to-end performance debugging across DB, JVM, and network layers.

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NC

Mid-level Supply Chain Planner/Buyer specializing in sourcing, MRP, and analytics

Boston, MA4y exp
ASMPTNortheastern University

Supply chain/sourcing professional focused on semiconductor tooling NPI ramp-ups, owning vendor selection through production and delivery. Demonstrates strong cost and trade-risk mitigation (e.g., avoided 25% Section 301 tariff via HTS/landed-cost analysis) and measurable supplier performance turnarounds (OTD improved to 95%) using SAP MRP, shortage analysis, and structured supplier governance.

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CC

Caden Cheah

Screened

Intern Full-Stack/ML Engineer specializing in LLM applications and mobile development

Los Angeles, CA1y exp
IlloominateUC Berkeley

Backend engineer who built a serverless AWS Lambda microservices backend for a parenting assistance mobile app, including a personalized recommendation system optimized to sub-500ms via precomputed scoring and DynamoDB caching. Demonstrates strong production pragmatism: CloudWatch-driven performance tuning (provisioned concurrency), zero-downtime phased schema migrations, and robustness patterns like optimistic locking and request deduplication. Also led a refactor of an LLM RAG pipeline to improve retrieval quality and cut latency from ~5s to ~3s.

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PT

Principal Data Strategy & Data Management Leader specializing in enterprise governance and analytics

Woodstock, IL25y exp
Taylored ConsultingSouthern Illinois University

Operator/program leader with experience building operating models and execution cadences for data/analytics and energy data services across Entech, HealthEquity, and RealPage. Has launched an undefined energy data management service into regulated enterprise environments and driven cross-functional alignment via dashboards, SLAs, and OKRs—contributing to enterprise wins and a successful company sale.

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MM

Madhu Moutam

Screened

Mid-level Supply Chain Analyst specializing in logistics optimization and planning analytics

USA (Remote)4y exp
MaerskConcordia University

Supply chain/procurement professional (Maersk) who leads end-to-end freight sourcing initiatives using heavy analytics (SAP/SQL/Python/Excel) to drive measurable savings. Known for automating sourcing workflows (60% faster bid evaluation) and building Power BI dashboards to monitor contract compliance and supplier performance post-implementation.

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MK

Mahima Korad

Screened

Mid-level Supply Chain Analyst specializing in planning, procurement, and distribution operations

Santa Clara, CA5y exp
HD SupplySan José State University

Sourcing/procurement professional with Accenture experience supporting telecom infrastructure expansion, owning RFQs through delivery and managing 12+ vendors. Known for strong supplier performance management (scorecards, KPIs, corrective actions) delivering ~97% on-time material delivery while cutting expedited freight 13% and avoiding ~AUD 500K in delay costs; also brings supplier onboarding and capability/capacity assessment experience from Nestlé and Accenture.

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ET

Edwin Tse

Screened

Junior Data Engineer specializing in BI, governed metrics, and workflow automation

Berkeley, CA3y exp
EnvoyXUC San Diego

Built and shipped LLM/OCR/NLP-driven document-intelligence workflows in operational environments (EnvoyX and UPS), emphasizing production readiness via explicit state-machine orchestration, confidence gates, and human-in-the-loop review. Demonstrated strong business impact in customs brokerage/document ingestion: 50% fewer customs rejects, 30% higher throughput, SLA adherence improved from 71% to 96%, and platform reliability reaching 99.6% with 78% fewer bad-data incidents.

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MG

Mishika Garg

Screened

Junior Data Analyst specializing in business analytics and BI

Bengaluru, India3y exp
DeloitteMichigan State University

Analytics-focused candidate with hands-on experience building SQL data pipelines and Python-based forecasting workflows for inventory and planning use cases. They emphasize data quality, stakeholder trust, and operational adoption, citing a 19% forecast accuracy improvement and strong experience translating analytics into dashboard-ready business metrics.

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FM

Junior ML research engineer specializing in evaluation platforms and applied machine learning

New York, NY3y exp
Arthur AIEmory University

ML/LLM infrastructure engineer who built and shipped a production internal evaluation + failure-analysis agent (Arthur AI / R3AI context) that orchestrated end-to-end benchmarks with deterministic lineage, regression detection, and root-cause reporting at 5,000+ benchmarks/week. Also built backend observability and data validation systems for analytics pipelines at FullStory processing ~3.4B weekly events, emphasizing schema validation, quarantine fallbacks, and idempotent operations.

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Bhaskar Reddy - Junior Business & Data Analyst specializing in analytics and BI in Fairfield, CT

Bhaskar Reddy

Screened

Junior Business & Data Analyst specializing in analytics and BI

Fairfield, CT2y exp
Sacred Heart UniversitySacred Heart University

Analytics-focused candidate with hands-on experience building SQL and Python workflows that turn messy multi-source data into reporting assets and dashboards. They show strong practical judgment around data quality, table grain, validation, and performance tuning, and they described an education-focused engagement project that reportedly improved course completion by 15% through targeted interventions and metric-driven stakeholder alignment.

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ZS

Junior Machine Learning Engineer specializing in AI, computer vision, and data systems

Los Angeles, CA2y exp
WiDeS Lab, USCUSC

Built and owned an end-to-end AV operations automation and dashboarding platform for USC event operations, used daily to coordinate hundreds of live events. Delivered a React/TypeScript full-stack system integrating Smartsheet APIs with strong reliability practices (typed contracts, validation/fallbacks, safe rollouts) and experience with queue-based microservice patterns (idempotency, retries, DLQs, monitoring).

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Darshan Patel - Mid-level Data Engineer specializing in financial and trading data in Sydney, Australia

Darshan Patel

Screened

Mid-level Data Engineer specializing in financial and trading data

Sydney, Australia4y exp
Australian Securities ExchangeUNSW Sydney

Quant Data Engineer at ASX who is also building FinishKit, a full-stack SaaS that scans AI-generated codebases for bugs and production-readiness issues. Combines React/TypeScript, Supabase/serverless, Fly.io, and Postgres with strong product instincts, rapid iteration, and prior experience building secure multi-tenant data and dashboard systems across enterprise teams.

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HL

Haolin Li

Screened

Entry-level Data Analyst specializing in marketing analytics and business intelligence

Los Angeles, CA1y exp
Helios & PartnersUSC

CRM/lifecycle marketer with hands-on ownership of high-volume, multi-channel programs across email, SMS, and push, including Braze journey design, QA, deployment, and post-campaign analysis. Stands out for combining strong campaign operations with incrementality measurement and experimentation, including a 20% conversion improvement from journey optimization and 12% incremental revenue lift identified through holdout-based analysis.

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XX

Xiaoyi Xiong

Screened

Junior Business Analyst specializing in pricing and data analytics

Lincolnshire, IL2y exp
Camping WorldNorthwestern University

Analytics candidate with hands-on experience turning messy pricing and competitor data into reporting-ready SQL tables, plus building Python automation workflows that replaced manual processing across 40,000 images at roughly 89% accuracy. They also led a price elasticity analysis that informed differentiated pricing strategies and supported reporting through Power BI dashboards.

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VR

Mid-level Data Analyst specializing in healthcare and financial analytics

Texas, USA4y exp
DeloitteUniversity of Texas at Dallas

Analytics professional with Deloitte experience building SQL and Python workflows for revenue, pipeline, and opportunity analytics at scale. They combine strong data engineering and modeling skills with business-facing delivery, citing impacts including 8-10% conversion improvement, ~$700K revenue protected, 12% YoY project acquisition growth, and 15% retention improvement in financial services.

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Neeshma Narahari - Mid-level Software Developer specializing in backend microservices and cloud platforms in Irving, TX

Mid-level Software Developer specializing in backend microservices and cloud platforms

Irving, TX6y exp
McKessonUniversity of Central Missouri

Full-stack product engineer with strong React and TypeScript depth who has owned dashboard features end-to-end, from UI architecture and rendering optimization through Spring Boot APIs and database query tuning. Particularly compelling for startup or high-growth teams: they’ve shipped 0→1 internal operations platforms, prioritized MVP workflows effectively, and iterated post-launch using user feedback, logs, and usage metrics.

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RK

Rudra Kotti

Screened

Mid-level Full-Stack Developer specializing in .NET, React, and enterprise AI

Worcester, MA5y exp
JPMorgan ChaseClark University

Frontend engineer with JP Morgan Chase experience building data-heavy React/TypeScript products, including an AI-powered enterprise search application and workforce analytics dashboards. Stands out for combining reusable component architecture, Redux-driven state flow, responsive CSS, and production performance tuning for large-scale internal enterprise tools.

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PR

Prithvi Raaj

Screened

Mid-level Product Manager specializing in retail e-commerce and subscription growth

USA5y exp
WalmartUniversity at Buffalo

Growth creative/performance marketer currently at Walmart who led Walmart+ checkout announcement/enhancement campaigns end-to-end, combining user behavior analysis, customer feedback, and multi-variant A/B testing. Reported measurable funnel and revenue-adjacent lifts (faster checkout, nearly doubled first-time completion, +18% repeat visits, +$1.2 basket size) and uses Power BI plus platform analytics (Meta/TikTok/YouTube) to drive rapid, modular creative iteration with creators and editors.

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