Alawi.

80+

80+

Completed Projects

0+

0+

Completed Projects

0+

0+

Years of Experience

0+

0+

Years of Experience

80%

80%

Happy Clients

80%

80%

Happy Clients

Data Scientist turning messy data into decision-ready insight. I help teams measure what matters, fix whats broken, and move faster with confidence. Less noise. More signal.

[01 Services]

Decision-first analytics. Built to reduce arguing and rework.

One doc. Clear formulas. Edge cases covered. Owners and update rules included. No moving targets mid-quarter.

Definitions

One doc. Clear formulas. Edge cases covered. Owners and update rules included. No moving targets mid-quarter.

Definitions

One doc. Clear formulas. Edge cases covered.

Definitions

Event taxonomy. Naming rules. QA checks before analysis. I verify funnels end-to-end. If something breaks, we catch it early.

Tracking

Event taxonomy. Naming rules. QA checks before analysis. I verify funnels end-to-end. If something breaks, we catch it early.

Tracking

Event taxonomy. Naming rules. Checks before analysis.

Tracking

Drivers, churn, cohorts. I test assumptions, not vibes. You get a readout with next steps. Clear tradeoffs, clear follow-ups.

Analysis

Drivers, churn, cohorts. I test assumptions, not vibes. You get a readout with next steps. Clear tradeoffs, clear follow-ups.

Analysis

Drivers, churn, cohorts. Next steps included.

Analysis

Weekly review-ready. Built for decisions, not demos. Only the charts you’ll actually use. Fewer tabs, more action.

Dashboards

Weekly review-ready. Built for decisions, not demos. Only the charts you’ll actually use. Fewer tabs, more action.

Dashboards

Weekly review-ready. Used, not admired.

Dashboards

[02 Results]

Practical changes. Measurable. No nice charts as the finish line.

Practical changes. Measurable. No nice charts as the finish line.

Practical changes. Measurable. No nice charts as the finish line.

No Guesswork,
No Ghosting

Fast replies. Clear scope. Everything documented.

Fast replies. Clear scope. Everything documented.

Quick one: are we finally aligned on ‘Active User’?”

Yes. Definition + edge cases are locked. One doc.

Yes. Definition + edge cases are locked. One doc.

Nice. Weekly review won’t be a debate anymore 🙏

Nice. Weekly review won’t be a debate anymore 🙏

Good. Now we debate decisions, not definitions 🎯

Good. Now we debate decisions, not definitions 🎯

Events cleaned + validated

30K+

30K+

30K+

Fewer Debates.
More Shipping.

Fewer Debates.
More Shipping.

Definitions locked. Tracking verified. Decisions move.

+0%

+0%

Funnel Recovery

Missing steps fixed across key flows. Drop-offs became real, not bugs.

+0%

+0%

Funnel Recovery

Missing steps fixed across key flows. Drop-offs became real, not bugs.

+0%

+0%

Funnel Recovery

Missing steps fixed across key flows. Drop-offs became real, not bugs.

No More Data’s Weird

No More Data’s Weird

No More Data’s Weird

We fix tracking first. Then we analyze. So the story is real, not a glitch.

Gaps we know

Funnel check

Edge cases

Cohort view

Clean naming

[03 The Process]

You get a system, not a slide

You get a system, not a slide

You get a system, not a slide

01

Decision Ready

Actionable: If it won’t change decisions, we drop it. You get a clear “do this next” at the end.

01

Decision Ready

Actionable: If it won’t change decisions, we drop it. You get a clear “do this next” at the end.

01

Decision Ready

Actionable: If it won’t change decisions, we drop it. You get a clear “do this next” at the end.

02

Quality First

Verified: We test tracking, fix weird events, stop drift. Checks are repeatable, not a one-time hero moment.

02

Quality First

Verified: We test tracking, fix weird events, stop drift.

02

Quality First

Verified: We test tracking, fix weird events, stop drift. Checks are repeatable, not a one-time hero moment.

03

Assumptions

Explicit: Facts get name tags; guesses get warning labels. So meetings argue about choices, not definitions.

03

Clear Assumptions

Explicit: Facts get name tags; guesses get warning labels.

03

Assumptions

Explicit: Facts get name tags; guesses get warning labels. So meetings argue about choices, not definitions.

04

Docs

Documented: Docs included, so your team doesn’t depend on me. Handover is part of the work, not an extra.

04

Docs Included

Documented: Docs included, so your team doesn’t depend on me.

04

Docs

Documented: Docs included, so your team doesn’t depend on me. Handover is part of the work, not an extra.

[04 About]

I fix measurement first,
then ship clear calls.

I fix measurement first, then ship clear calls.

80+

80+

Completed Projects

0+

0+

Completed Projects

0+

0+

Years of Experience

80%

80%

Happy Clients

Im not here to make dashboards look good. Im here to make numbers behave. I lock definitions, fix tracking, and add QA so your team stops debating metrics and starts making calls. Less noise. More signal.

Im not here to make dashboards look good. Im here to make numbers behave. I lock definitions, fix tracking, and add QA so your team stops debating metrics and starts making calls. Less noise. More signal.

Who you’ll work with

Who you’ll work with

Maarif Alawi

Data Science

Data Science

No handoffs. No excuses. Just fixes that hold up in review, backed by clear definitions, verified tracking, and a short readout your team can actually run next week.

No handoffs. No excuses. Just fixes that hold up in review.

What I ship first :

Metric spec

Metric spec

Event plan

Data checks

Decision memo

What I ship first :

Metric spec

Event plan

Data checks

Data checks

Decision memo

What I ship first :

Metric spec

Metric spec

Event plan

Data checks

Decision memo

Certifications

Certifications

Data Scientist Associate

AZURE

Data Scientist Associate

AZURE

Data Science Professional

IBM

Machine Learning Engineer

AWS

Machine Learning Engineer

AWS

Certified Analytics Professional

INFORMS

Certified Analytics Professional

INFORMS

Data Scientist Associate

AZURE

Data Science Professional

IBM

Data Science Professional

IBM

Data Engineer Associate

AWS

Data Engineer Associate

AWS

Previously

What I did before focusing on Data Science.

Previously

What I did before focusing on Data Science.

Reel image
8/3/2025

full stack developer

3 Years

Reel image
8/3/2025

Full-Stack Developer

3 Years

[05 Testimonials]

Words I aim to earn.

  • Musthafa

    Head of Product

    Al locked our KPI definitions in one doc, fixed tracking gaps, and added QA checks. Weekly reviews stopped being debates, and we finally trusted the numbers.

  • Steven

    Growth Lead

    He didn’t ship a dashboard first. He shipped clarity: definitions, event mapping, validation, then analysis. The team left with docs we can run without him.

[05 Testimonials]

Words I aim to earn.

[06 Pricing]

Flexible scope. Serious clarity.
No dashboard theater.

Flexible scope. Serious clarity.
No dashboard theater.

Flexible scope. Serious clarity.
No dashboard theater.

Pricing depends on scope and timeline. Share a brief for an exact quote.

Monthly Loop

Weekly clarity for product teams. No metric drama.

$0

$0

$0

$0

$0

$0

/month

What's Included

Set number of hours per month

KPI definitions

Set number of hours per month

Priority turnaround

Tracking QA

Priority turnaround

Flexible scope (design, dev, SEO)

Weekly notes

Flexible scope (design, dev, SEO)

Direct access to your creative team

SQL/Python analysis

Direct access to your creative team

Monthly planning & check-ins

Docs and handover

Monthly planning & check-ins

Scope varies by brief

Scope varies by brief

Popular Choice

Audit Sprint

Fix measurement fast. Then trust the output. Fixed after a brief.

From

$0

$0

$0

$0

$0

$0

What's Included

Gap list and fix plan (prioritized)

Source audit (GA4, DB, warehouse when relevant)

Gap list and fix plan (prioritized)

Naming rules and QA checklist

Tracking audit and event map review

Naming rules and QA checklist

Decision memo and query pack

Gap list and fix plan (prioritized)

Decision memo and query pack

Tracking audit and event map review

Naming rules and QA checklist

Tracking audit and event map review

Source audit (GA4, DB, warehouse when relevant)

Decision memo and query pack

Source audit (GA4, DB, warehouse when relevant)

Popular Services

KPI Definition Pack

from $99

KPI Definition Pack

from $99

KPI Definition Pack

from $99

Tracking Audit

from $149

Tracking Audit

from $149

Tracking Audit

from $299

Funnel Repair

from $199

Funnel Repair

from $199

Funnel Repair

from $199

Experiment Readout

from $299

Experiment Readout

from $299

Experiment Readout

from $149

Tell me scope + deadline. I’ll send a clear quote.

Send your goal, data sources, and deadline. I’ll reply with scope.

[07 FAQ]

Questions people ask before trusting the numbers.

What do you need from me to start?

A short brief: what decision you’re trying to make, what “success” means, and when you need it. Then access to the data source (GA4, DB, warehouse) or exports if access is slow. If you have an existing KPI doc or event list, send it. If not, we’ll create the first version fast.

How long does a typical project take?

Most work fits into 1–4 weeks. A clean audit is usually 1–2 weeks. Fixes and a decision-ready readout typically take another 1–2 weeks, depending on how many funnels/events are involved and how fast changes can be shipped.

What if tracking is messy or incomplete?

That’s the common case. We start by identifying what’s missing, what’s duplicated, and what’s unreliable. Then we patch the highest-impact gaps first (the steps that break funnels and key KPIs). No “analysis” on top of broken measurement.

Do you build dashboards?

Yes, but only when they earn it. If a dashboard won’t be used weekly, it’s just decoration. Most of the time I ship a KPI doc, a query pack, and a short memo with what changed and what to do next. Dashboards come after definitions and tracking are stable.

How do you price work?

I price based on scope after a brief. You’ll get a clear scope, a timeline, and a range before anything starts. If the scope is still fuzzy, we do a short audit sprint first, then lock the next step with a fixed plan.

What do you need from me to start?

A short brief: what decision you’re trying to make, what “success” means, and when you need it. Then access to the data source (GA4, DB, warehouse) or exports if access is slow. If you have an existing KPI doc or event list, send it. If not, we’ll create the first version fast.

How long does a typical project take?

Most work fits into 1–4 weeks. A clean audit is usually 1–2 weeks. Fixes and a decision-ready readout typically take another 1–2 weeks, depending on how many funnels/events are involved and how fast changes can be shipped.

What if tracking is messy or incomplete?

That’s the common case. We start by identifying what’s missing, what’s duplicated, and what’s unreliable. Then we patch the highest-impact gaps first (the steps that break funnels and key KPIs). No “analysis” on top of broken measurement.

Do you build dashboards?

Yes, but only when they earn it. If a dashboard won’t be used weekly, it’s just decoration. Most of the time I ship a KPI doc, a query pack, and a short memo with what changed and what to do next. Dashboards come after definitions and tracking are stable.

How do you price work?

I price based on scope after a brief. You’ll get a clear scope, a timeline, and a range before anything starts. If the scope is still fuzzy, we do a short audit sprint first, then lock the next step with a fixed plan.

What do you need from me to start?

A short brief: what decision you’re trying to make, what “success” means, and when you need it. Then access to the data source (GA4, DB, warehouse) or exports if access is slow. If you have an existing KPI doc or event list, send it. If not, we’ll create the first version fast.

How long does a typical project take?

Most work fits into 1–4 weeks. A clean audit is usually 1–2 weeks. Fixes and a decision-ready readout typically take another 1–2 weeks, depending on how many funnels/events are involved and how fast changes can be shipped.

What if tracking is messy or incomplete?

That’s the common case. We start by identifying what’s missing, what’s duplicated, and what’s unreliable. Then we patch the highest-impact gaps first (the steps that break funnels and key KPIs). No “analysis” on top of broken measurement.

Do you build dashboards?

Yes, but only when they earn it. If a dashboard won’t be used weekly, it’s just decoration. Most of the time I ship a KPI doc, a query pack, and a short memo with what changed and what to do next. Dashboards come after definitions and tracking are stable.

How do you price work?

I price based on scope after a brief. You’ll get a clear scope, a timeline, and a range before anything starts. If the scope is still fuzzy, we do a short audit sprint first, then lock the next step with a fixed plan.

[08 Blog]

Notes on metrics, tracking, and decisions that hold up.

Notes on metrics, tracking, and decisions that
hold up.

Notes on metrics, tracking, and decisions that hold up.