NRK+ Let's talk ↗
Menu +
Work Experience About Analytics résumé ↓ Let's talk

Naveen Raj Kanagaraj · Product & Data Analytics · Chicago

Product & Data Analyst specializing in growth, user behavior, and commercial strategy.

Marketing Analysis graduate student with a B.Tech. in Computer Science and Business Systems. I use SQL, Python, experimentation, and dashboards to turn complex product, user, and commercial data into rigorous recommendations teams can measure and act on.

View analytics work ↓ Download analytics résumé ↓
Portrait of Naveen Raj Kanagaraj
$1.8M+
sponsorship revenue
280K+
audience built
3B+
impressions
$25K+
partnerships closed

Selected brands collaborated with

Samsung
Samsung
Intel
Intel
Krafton
Krafton
OnePlus
OnePlus
Philips
Philips
Cloud9
Cloud9
ASUS
ASUS
HyperX
HyperX
Sony
Sony
Tencent
Tencent
Acer
Acer
Jio
Jio
Supercell
Supercell

Selected collaborations and partnership activations. Brand names are used for identification only.

01 / Professional proof

Outcomes, not just dashboards.

Analytics that starts with a product or market question and ends with a recommendation teams can ship, measure, and scale.

$1.8M+
sponsorship revenue
280K+
audience built
3B+
impressions
$25K+
partnerships closed
11
team members led

02 / Analytics in the business

When the data
had to ship.

I have used dashboards, acquisition analysis, and audience intelligence in live commercial environments, where a recommendation changed the next move.

Entity GamingDigital Marketing Manager · Jul 2022 - Aug 2024

Turned campaign and audience data into commercial decisions.

Built monthly executive dashboards, competitive analyses, and market intelligence for founders and C-suite stakeholders. Connected performance evidence to packaging and pricing decisions behind $1.8M+ in sponsorship revenue and 250M+ campaign impressions.

  • Analyzed channel performance and acquisition funnels across a 2M+ audience ecosystem.
  • Translated campaign, audience, and market data into executive reporting.
  • Led a six-person cross-functional team using KPI analysis to prioritize execution.
LetsGrowEsportsFounder · Mar 2021 - Present

Built an owned audience and the measurement system around it.

Scaled to 280K+ followers and 3B+ impressions, grew an owned media site to 60K+ active website users, and created KPI reporting for acquisition, engagement, and partnership performance. Generated $25K+ in partnership revenue and led a five-person team.

  • Used GA4 acquisition, email distribution, and engagement analysis to guide content strategy.
  • Built dashboards and data-quality checks for partnership reporting.
  • Connected audience segments and performance insights to client recommendations.

Current academic work

DePaul University

M.S. Marketing Analysis, 3.92/4.0 · Graduate Student Assistant, Department of Marketing
Vice President, IT & Analytics, Kellstadt Marketing Group.

03 / Analytics case studies

Find the pattern.
Frame the choice.

Product, customer, and acquisition analyses with the method, evidence, recommendation, and next measurement made explicit.

40Kusers · 303K events

Featured / Product analytics

Subscription Product Analytics

Queried 40K users and 303K events in SQL, then used Python and Tableau to diagnose trial-to-paid drop-off, churn, and onboarding priorities.

Read the analysis ↗GitHub repository ↗
3.7vs 6.8 / 10 satisfactionRELIABILITY
IS THE SIGNAL.

Featured / Product research + analytics

Drivers of User Satisfaction

Synthesized 1,257 survey responses, 50 interviews, and behavioral evidence to show that reliability, not feature expansion, should lead the roadmap.

Read the analysis ↗GitHub repository ↗
50K+website users · GA4QUALITY
OVER VOLUME.

Featured / Acquisition analytics

GA4 Audience & Acquisition

Audited 50K+ GA4 users, isolated 10% bot traffic, and found organic search generated 3× higher engagement than social, reshaping acquisition priorities.

Read the analysis ↗GitHub repository ↗

From evidence to market decision.

The same analytical system can support a product fix, a positioning choice, or a launch test.

1,257player signals → product decision
Research→SQL + Python→Retention plan
RELIABILITY
EARNS RETURN.

Integrated analytics + product strategy

BGMI: Player Insight to Retention Strategy

Connected player research, segmentation, and SQL/Python analysis to a measurable reactivation plan focused on reliable gameplay and return behavior.

Read the analysis ↗GitHub repository ↗
DQpreference data → pricing decision
Conjoint→Python→Pilot plan
PRICE THE
PREMIUM.

Integrated analytics + commercial strategy

Dairy Queen: Premium Line-Extension Decision

Used conjoint analysis, pricing logic, and franchise constraints to turn willingness-to-pay evidence into a commercially viable premium-line pilot.

Read the analysis ↗GitHub repository ↗

04 / Technical toolkit

Technical fluency,
applied.

I use the stack to answer product questions, validate a decision, and make the recommendation usable, not to decorate a skills list.

Languages & databases

Python Pandas · NumPy · scikit-learnSQL PostgreSQL · MySQL · CTEs · window functionsGit & GitHub version control · reproducible analysis

Visualization & BI

Tableau interactive dashboardsPower BI business reportingAdvanced Excel analysis and modeling

Experimentation & research

A/B testing hypothesis tests · guardrail metricsGA4 acquisition · funnels · user behaviorResearch methods Qualtrics · conjoint · perceptual mapping

05 / Evidence and tools

Show the
work.

Case studies explain the decision. Source material and dashboards let you inspect the analysis underneath it.

GitHubSQL, notebooks, and research ↗TableauExplore public dashboards ↗

06 / Dashboard preview

The numbers behind
the decision.

Two views from Subscription Product Analytics: lifecycle performance and cohort retention. Open Tableau for the interactive workbook.

Explore all Tableau dashboards ↗

Computer science, business, and analytics working as one system.

My B.Tech. in Computer Science and Business Systems taught me to think in systems, data, and constraints. My M.S. in Marketing Analysis at DePaul adds the customer, market, and commercial layer. I use that fusion to isolate the signal, test what matters, and deliver a business recommendation people can use.

DePaul UniversityM.S. Marketing Analysis · 3.92/4.0 · Expected Dec 2027
Graduate Student Assistant, Department of Marketing · Vice President, IT & Analytics, Kellstadt Marketing GroupSaranathan College of EngineeringB.Tech. Computer Science & Business Systems

08 / Available for internships

Let's make
the signal useful.

Available for internships across product, data, financial, marketing, and business analytics.
Chicago · Open to relocating · CPT eligible.

naveenrajkanagaraj493@gmail.com ↗+1 312 804-2737
LinkedIn ↗Analytics résumé ↓