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Professional 6 Weeks Data Analytics Mentored Project

Customer Segmentation & Marketing Analytics

Role: Junior Data Analyst — turn raw customer data into the segments, insights, and marketing strategy a growth team actually acts on.

Role
Junior Data Analyst
Duration
6 Weeks
Difficulty
Professional
Mentorship
Weekly Mentor Sessions
AM Weekly 1:1 with your mentorSenior Data Scientist · Consumer Tech Verified Project profilePortfolio-ready on completion
proventa.io / workspace / customer-segmentation
Marketing Analytics Dashboard
Customer Segmentation Overview
Live deliverable preview
Customers analyzed
24,600
Segments found
5
Revenue in top 3
62%
Avg order value
$148
Revenue by segment
+18% QoQ
ChampionsLoyalPotentialAt-RiskDormant
Segment mix
Top 3 segments · 62%
Long tail · 38%
SegmentCustomersAvg orderRevenue share
Champions3,180$214
34%
Loyal5,240$166
26%
Potential6,900$121
21%
At-Risk4,600$98
12%
Dormant4,680$54
7%
The Business Challenge

A company that knows its customers only as a crowd

A fast-growing consumer-technology company has built a base of tens of thousands of customers — but still treats them as one undifferentiated crowd. Marketing budget is spread evenly across every channel and every buyer, retention has quietly started to slip, and leadership suspects that a small handful of segments drives the majority of revenue. They need an analyst who can turn raw transaction and behavioral data into a clear, credible picture of who their customers really are, what each group is worth, and where the company's next wave of profitable growth will come from.

Your Mission

Own the analysis end to end

You step in as the Junior Data Analyst on the growth team. From the raw dataset to the final recommendation, this is your work to lead — with a professional mentor reviewing your thinking each week.

  • Clean & explore the raw data

    Profile a real transactional dataset, resolve quality issues, and build a foundation you can trust.

  • Engineer meaningful features

    Turn raw purchases and activity into recency, frequency, and value signals worth modeling.

  • Build customer segments

    Group customers into clear, defensible segments the business can actually act on.

  • Quantify segment value

    Size each segment by revenue, retention, and growth potential — not just headcount.

  • Translate analysis into strategy

    Convert your findings into concrete marketing recommendations leadership can fund.

  • Ship an executive-ready deliverable

    Deliver an interactive dashboard and a presentation built to a professional standard.

Your 6-Week Journey

From raw data to a recommendation you can defend

1
WEEK 01

Understand the Business

Meet your mentor, frame the business question, and define what a valuable customer segment means for this company.

2
WEEK 02

Explore and Clean the Data

Profile the raw transaction and behavioral data, handle missing values and outliers, and reach an analysis-ready dataset.

3
WEEK 03

Analyze Customer Behavior

Investigate purchase frequency, order value, and recency to surface the patterns that set one customer apart from another.

4
WEEK 04

Build Customer Segments

Engineer features and apply clustering to group customers into clear, meaningful, and defensible segments.

5
WEEK 05

Develop Recommendations and Dashboard

Quantify what each segment is worth and design an interactive dashboard that makes the story obvious to non-analysts.

6
WEEK 06

Present Your Findings

Package the analysis into an executive presentation and defend your recommendations with your mentor.

Tools You'll Use

The same professional stack a working analytics team relies on.

Python Pandas SQL Tableau PowerPoint
Skills You'll Demonstrate

Every skill you can point to on your Verified Project profile.

Customer Analytics Data Cleaning Segmentation Data Visualization Business Communication
What You'll Build

Four portfolio-ready deliverables

Real artifacts you can show in interviews — not a certificate of attendance.

Analysis Notebook.ipynb
Interactive DashboardTableau
Executive Strategy Deck.pptx
Final PresentationLive
Meet Your Mentor
AM
Senior Data Scientist
Consumer Technology · 8+ years experience
8+ yrs experience Industry Mentor 40+ projects mentored

Leads analytics teams that turn behavioral data into growth strategy. Coaches students to think like professionals — framing the question, defending the method, and communicating the recommendation with confidence.

Python SQL Tableau ML

Mentor shown is an illustrative professional role for this demo, not a specific named individual or company.

Common Questions

Before you enroll

This is a Professional-level project. You should be comfortable with spreadsheets and basic statistics, and have some exposure to Python or SQL. Your mentor helps you bridge any gaps as you go — the goal is professional growth, not gatekeeping.
Plan for roughly 5–8 hours per week across the six weeks: independent analysis work plus a weekly 1:1 session with your mentor. The structured weekly milestones keep the workload predictable and steady.
You finish with a Verified Project profile documenting your work, plus portfolio-ready deliverables: an analysis notebook, an interactive dashboard, and an executive presentation. This is verified project experience and Project Completion — not a guaranteed job, internship, or offer.
Yes. Your Verified Project profile is built to be shared. Add it to LinkedIn, link it from your CV, and walk interviewers through the deliverables as evidence of real, mentored Industry Project Experience.
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