Available for data analyst & operations roles

Khalil Hickson

Data Analytics · Operations · Technical Project Coordination · AI Workflow Systems

I build dashboards, workflow systems, and AI-powered operations tools that turn messy business data into clear decisions.

0+

KPI dashboards shipped

0

Support channels unified

0%

Stakeholder-ready deliverables

How it works

AI-powered operational workflow intelligence

From raw ATS data to executive-ready analytics — one continuous, safety-aware pipeline.

  1. ATS Sources

    Greenhouse · Lever · Ashby · Breezy

  2. Filtering

    14-day freshness · role · location

  3. Trust Scoring

    Company signal · salary confidence

  4. Resume Matching

    Embeddings · keyword + skills overlap

  5. Outcome Learning

    Apply → reply → interview signals

  6. Executive Analytics

    Pipeline health · KPIs · trends

Featured Project Spotlight

AI-Powered Recruiting Intelligence Platform

An AI-powered career operations platform that combines verified job intelligence, resume optimization, recruiter CRM workflows, outcome learning, and safety-aware automation.

Problem

Job search is noisy, manual, and impossible to measure

Candidates juggle dozens of job boards with inconsistent data, low-trust companies, stale postings, and no feedback loop between applications and outcomes. Recruiting teams face the mirror image: high-volume pipelines with weak signal and no shared system of record.

Constraints

Recruiter-safe by design

The platform had to operate inside real recruiting norms — no shortcuts that would compromise safety, trust, or data quality.

  • No CAPTCHA, MFA, login-wall, or bot-detection bypass
  • Manual review fallback on every automated decision
  • Salary, freshness, and source-confidence are first-class signals
  • ATS differences across Greenhouse, Lever, Ashby, and Breezy
  • Daily caps and emergency pause built into the workflow

Solution

An AI-powered career operations platform

CommandFlowOS combines verified job intelligence, resume optimization, recruiter CRM workflows, outcome learning, and safety-aware automation into a single product — with a public sandbox for storytelling and a private workspace for real operations.

  • ATS ingestion across Greenhouse, Lever, Ashby, Breezy
  • 11-factor company trust score and scam-risk detection
  • Resume Variant Optimizer with A/B testing across 5 canonical variants
  • Recruiter CRM pipeline from Imported → Offer
  • Outcome Learning Engine that recalibrates scoring from real recruiter signals
  • Executive Command Center for recruiter-safe KPIs

Product Decisions

Why the system is built this way

Each layer exists for a specific reason — to keep the platform trustworthy, measurable, and useful to both candidates and recruiters.

  • Separate public sandbox from private workspace so storytelling never leaks real data
  • Score trust before matching so weak companies never reach the pipeline
  • Treat outcomes as training data, not vanity metrics
  • Make every automation reversible with a manual fallback
  • Use a recruiter-style CRM model so the workflow feels familiar to hiring teams

Impact

Measurable outcomes, not buzzwords

  • 1,441+ raw jobs tested across multiple ATS sources
  • 460+ jobs filtered and imported into the recruiter pipeline
  • 11-factor company trust scoring with a 5.4% Auto Review pass rate
  • 5 canonical resume variants with outcome-driven selection
  • 14-day freshness filter and 30-day duplicate-company guard
  • Executive Command Center surfaces KPIs that previously lived in spreadsheets
  • Manual review effort focused on the top of the funnel, not every job

Roadmap

What improves next

The next phase deepens the learning loop and makes the platform easier for recruiters to adopt as a system of record.

  • Recruiter-side intake — invite hiring teams into the CRM with scoped roles
  • Calibrated interview-probability model from real outcomes
  • Industry-specific trust models (startup vs. enterprise vs. agency)
  • Higher-resolution outcome attribution per resume variant and ATS source
  • Public benchmark reports drawn from sandbox data only
Full-Stack AIRecruiting Tech

Verifies companies, filters ATS sources, scores interview probability, generates tailored application packets, tracks recruiter pipelines, and produces hiring analytics — with a public sandbox and a private workspace.

0+

Jobs tested

0

Factor trust scoring

0

Resume variants

Live

Outcome learning engine

How the AI Platform Works

Systems, visualized in 5 seconds.

Three quick flows that explain ingestion, learning, and the recruiter pipeline.

ATS Ingestion Flow

From raw jobs to verified, recruiter-safe matches

Every job is filtered, scored, and matched before it ever reaches a recruiter.

ATS Sources

Greenhouse · Lever · Ashby · Breezy

Job Fetch

14-day freshness

Filtering

Salary confidence

Trust Score

11-factor company trust

Resume Match

Variant optimizer

Review

Manual · Auto

GreenhouseLeverAshbyBreezy14-day freshnessSalary confidenceCompany trust

Outcome Learning Loop

The platform learns from every application

Real recruiter signals continuously recalibrate scoring and targeting.

Applications

Recruiter Replies

Response rate

Interviews

Interview conversion

Outcomes

Best resume variant

Recalibrated Scores

Best ATS source

Better Targeting

Response rateInterview conversionBest resume variantBest ATS source

Recruiter CRM Pipeline

Every opportunity tracked end-to-end

A clean recruiter-style pipeline from import all the way to offer.

New

Imported

In review

Reviewed

Ready

Approved

Sent

Submitted

Active

Recruiter Screen

Scheduled

Interview

Won

Offer

Career Impact

Key Impact Highlights

0+

KPI dashboards shipped

0

Support channels unified

0+

Support tickets analyzed

0%

Escalation reduction

0%

CSAT

0%

Stakeholder-ready deliverables

Recruiter Snapshot

Where I Create Impact

The disciplines I combine across analytics, operations, and AI to deliver clean, decision-ready outcomes.

Data Analytics & Dashboards

  • SQL, Tableau, and Excel pipelines for executive KPI views
  • Translate raw data into recruiter- and leadership-ready insights

Operations Improvement

  • Streamline cross-functional workflows and SLAs
  • Identify bottlenecks and ship measurable process gains

Technical Support Systems

  • Unify ticketing, escalation, and resolution tracking
  • Reduce repeat incidents through root-cause analysis

AI Workflow Automation

  • Full-stack AI workflow platforms for real business problems
  • Outcome-learning loops and recruiter-safe analytics

Customer Success Operations

  • Health scoring, churn-risk detection, and proactive plays
  • Cross-functional alignment between CS, support, and product

Project Coordination

  • Lead initiatives from intake through execution and review
  • Stakeholder communication, roadmaps, and SLA tracking

About

Analytics with an operations mindset.

I pair SQL, Tableau, and Excel with hands-on operations experience to build the dashboards and models that move KPIs — not just report them. My work has supported support, revenue, and customer success teams in tightening SLAs, surfacing churn risks, and forecasting capacity with confidence.

More about me

Skills

Skills, methods & tools

Project Management

Project lifecycleStakeholder communicationTimeline managementRoadmap planningSLA trackingProcess improvementWorkflow optimizationRisk identificationCross-functional coordination

Data & Analytics

SQLTableauExcel (PivotTables, Forecasting)KPI & SLA TrackingBusiness IntelligenceData Analysis

Tools

JiraAsanaTrelloMicrosoft ProjectExcelSQLTableauZendesk

Project Management & Operations Leadership

Running initiatives, not just reporting on them.

I bring a project management mindset to technical support, operations, and data-driven business improvement. My experience includes managing high-volume workflows, coordinating with cross-functional teams, improving processes, tracking SLA performance, and supporting initiatives from planning through execution.

Project Lifecycle Management

Experience supporting projects from initiation to execution and delivery by identifying problems, organizing workflows, tracking progress, and measuring results.

Stakeholder Communication

Strong background communicating with customers, internal teams, QA, engineering, and leadership to resolve issues, align priorities, and keep projects moving.

Timeline & Roadmap Management

Able to organize tasks, prioritize deadlines, monitor SLA timelines, and support operational roadmaps that improve efficiency and customer experience.

PM Tools

Familiar with project and workflow tools including Jira, Asana, Trello, and Microsoft Project.

Selected work

Featured projects

Featured Build

AI-Powered Recruiting Intelligence Platform

Full-Stack AIRecruiting Tech

AI-Powered Recruiting Intelligence Platform

An AI-powered career operations platform that combines verified job intelligence, resume optimization, recruiter CRM workflows, outcome learning, and safety-aware automation — with a public sandbox for storytelling and a private workspace for real operations.

  • ATS filtering for Greenhouse, Lever, Ashby, and Breezy
  • Company trust scoring and scam-risk detection
  • AI resume tailoring and application packet generation
  • Resume Variant Optimizer with A/B testing
  • Outcome Learning Engine for real conversion analytics
  • Executive Command Center with recruiter-safe KPIs
  • Public Sandbox with simulated data
  • Recruiter CRM pipeline and response analytics
  • Safety controls for CAPTCHA, MFA, login walls, and bot-detection blocks
  • Private authenticated production workspace

0+

Raw jobs tested

0+

Jobs filtered & imported

0

Factor trust scoring

0.0%

Auto Review pass rate

0d

Freshness filter

0d

Duplicate company guard

0

Canonical resume variants

Live

Outcome learning engine

An AI-powered career operations platform

Verified job intelligence, resume optimization, recruiter CRM workflows, outcome learning, and safety-aware automation — designed to be measurable, recruiter-safe, and useful from day one.

How it works

The platform, visualized

Five quick visuals — each tells the story of a system in seconds.

ATS Ingestion Flow

From raw jobs to verified, recruiter-safe matches

Every job is filtered, scored, and matched before it ever reaches a recruiter.

ATS Sources

Greenhouse · Lever · Ashby · Breezy

Job Fetch

14-day freshness

Filtering

Salary confidence

Trust Score

11-factor company trust

Resume Match

Variant optimizer

Review

Manual · Auto

GreenhouseLeverAshbyBreezy14-day freshnessSalary confidenceCompany trust

Outcome Learning Loop

The platform learns from every application

Real recruiter signals continuously recalibrate scoring and targeting.

Applications

Recruiter Replies

Response rate

Interviews

Interview conversion

Outcomes

Best resume variant

Recalibrated Scores

Best ATS source

Better Targeting

Response rateInterview conversionBest resume variantBest ATS source

Recruiter CRM Pipeline

Every opportunity tracked end-to-end

A clean recruiter-style pipeline from import all the way to offer.

New

Imported

In review

Reviewed

Ready

Approved

Sent

Submitted

Active

Recruiter Screen

Scheduled

Interview

Won

Offer

Smart Apply — Safety Gates

Recruiter-safe automation by design

Every automated action passes through explicit safety controls.

No CAPTCHA bypass

No MFA bypass

No login-wall evasion

No bot-detection bypass

Manual fallback

Emergency pause

Daily caps

CommandFlowOS Architecture

A layered, recruiter-safe operating system

Each layer has a single responsibility — from public storytelling to private safety.

Public Demo Layer

Sandbox · Case study · Demo

Private Workspace Layer

Authenticated recruiter ops

AI Intelligence Layer

Scoring · Matching · Tailoring

Automation Workflow Layer

Pipelines · Triggers · Jobs

Data & Security Layer

RLS · Encryption · Audit

Monitoring Layer

Health · KPIs · Alerts

Safety Layer

Caps · Manual fallback · Pause

Let's turn your data into decisions.

If you need an analyst who pairs technical depth with operational instinct, I'd love to talk.

Get in touch

Resume bridge

How my projects connect to my resume

Every project on this site maps to a real bullet on the resume — built, shipped, and measurable.

Support Command Center Dashboard

Resume tag

SQL · Tableau · 92% SLA · 25% escalation reduction

  • Tracked 92% SLA compliance and 24-hour avg resolution
  • Analyzed 10,000+ tickets and surfaced 18% peak backlog spikes
  • Drove 25% escalation reduction via KPI + workflow tuning

Customer Revenue Intelligence Model

Resume tag

SQL · Excel · $1.2M+ revenue analyzed

  • Analyzed 50,000+ transactions across $1.2M+ in revenue
  • Identified top 20% of customers driving 68% of revenue
  • Modeled retention plays projecting 15% revenue growth

Operations Forecasting Model

Resume tag

Excel · 92% forecast accuracy · Capacity planning

  • Built 24-month forecast models with 92% accuracy
  • Flagged seasonal demand spikes up to 27% above baseline
  • Projected 12% workload increase to guide planning

Visual resume · 1 page · ATS-friendly

Khalil Hickson

Data Analyst & Technical Operations Specialist

10K+

Support cases analyzed

91%

CSAT maintained

25%

Escalation reduction

Target roles

Data Analyst · Operations Analyst · Customer Success Analyst · Technical Operations Specialist

Top skills

SQLTableauExcelSalesforceZendeskForecastingKPI dashboards

Scan to view resume

Point a phone camera here to open the resume, live sandbox, and case studies.

QR code linking to the resume

Public changelog

Version history

  1. v1

    Core ATS ingestion + Smart Apply foundation

    Verified job ingestion pipeline with a Smart Apply primitive that normalizes listings across sources.

    Why it mattered: Established a trustworthy data spine — every later feature depends on clean, verified job records.

    AutomationAI Systems
  2. v2

    Resume Variant Optimizer

    Generates targeted resume variants tied to a specific role, surfacing keyword gaps and phrasing alternatives.

    Why it mattered: Moved the platform from passive applications to active candidate signal shaping.

    AI SystemsUX
  3. v3

    Outcome Learning Engine

    Feeds application outcomes back into ranking and matching to refine future recommendations.

    Why it mattered: Closed the loop between action and result so the system improves with use instead of decaying.

    AI SystemsAnalytics
  4. v4

    Executive Command Center

    Unified dashboard for funnel, response rates, and recruiter signals across active searches.

    Why it mattered: Gave operators a single source of truth — KPI clarity is what separates a tool from a platform.

    AnalyticsProduct Ops
  5. v5

    Monitoring + Alerting

    Health checks on ingestion jobs, ranking drift, and queue depth with surfaced anomalies.

    Why it mattered: Operational trust requires knowing when something is wrong — silently broken is worse than visibly broken.

    MonitoringProduct Ops
  6. v6

    Guided Walkthroughs

    First-run tours and contextual hints for the recruiter CRM and Command Center.

    Why it mattered: Powerful workflows die without onboarding — users need to feel competent in the first 60 seconds.

    UX
  7. v7

    Mobile / PWA support

    Installable PWA shell, safe-area aware navigation, and mobile-first review flows.

    Why it mattered: Recruiters and operators check status on phones — the product had to follow them off the desk.

    UXProduct Ops
  8. v8

    Architecture storytelling visuals

    Animated workflow centerpiece showing ATS Sources → Filtering → Scoring → Matching → Learning → Analytics.

    Why it mattered: Stakeholders trust what they can see — the diagram turned an invisible system into a legible one.

    UXProduct Ops
  9. v9

    Dark mode + motion system

    Token-driven theme with semantic colors, glass cards, and a restrained motion language.

    Why it mattered: A polished surface signals operational maturity and reduces perceived risk for evaluators.

    UX
  10. v10

    Recruiter resume bridge

    Visual resume card, QR access, and project-to-resume connection mapping across the portfolio.

    Why it mattered: Connected live products to the resume narrative so recruiters can verify claims in one click.

    UXProduct Ops

Lessons learned

What ten versions taught me

Balance automation with safety

Every automated step needs an off-ramp. Defaults should be conservative; reversibility beats cleverness.

Observability is a feature

If you can't see ingestion drift, queue depth, or ranking shifts, you don't actually own the system.

Recruiter UX is a separate discipline

Recruiters scan, not read. Density, hierarchy, and one-click access matter more than feature breadth.

Outcome-driven iteration

Ship the smallest change that produces a measurable signal, then let the data decide the next move.

Design around operational trust

Trust compounds through small visible wins: clear states, honest empty states, predictable retries.

Keep workflows explainable

Every AI decision should be inspectable — a why, a confidence, and a way to override.

Public roadmap

What's next

Directional, not promissory. Items move between columns as evidence and capacity allow.

In Progress

  • Recruiter engagement analytics
  • Enhanced onboarding flows
  • Exportable executive reporting

Planned

  • Real outcome benchmarking across cohorts
  • Deeper ATS analytics and source attribution
  • Richer executive reporting templates
  • Improved interview preparation tooling

Exploring

  • Collaborative workflow reviews
  • Cross-pipeline signal sharing
  • Outcome-aware notification routing

Product philosophy

How CommandFlowOS is designed

Safety-aware automation

Automate the predictable; surface the rest.

Operational visibility

If it moves, it should be measurable.

Explainable workflows

Every decision carries its reasoning.

Measurable outcomes

Ship signal, not just features.

Iterative product evolution

Small versions, honest changelogs, real lessons.

Operational Reliability

Built to keep automation reliable under real-world constraints.

Production-style retry orchestration, failure recovery, and workflow monitoring — designed so AI workflows survive quota limits, rate caps, and upstream failures.

View Reliability Center

New Case Study

Customer Retention & Revenue Intelligence Platform

Operational analytics, customer health scoring, and executive KPI reporting — built to surface revenue risk and prioritize retention actions for leadership.

42% → 89%

Health Visibility

-28%

Escalations

71% → 93%

SLA Compliance

+65%

Revenue Risk Visibility

Next Step

Continue exploring the portfolio.