RS.
DATA OPERATIONS · ANALYTICS · AUTOMATION

ROHAN SALUNKE / DATA · ANALYTICS · BUSINESS INTELLIGENCE

ROHANSALUNKE

I turn data into insights, dashboards and better decisions.

DATA SCIENTISTDATA ANALYSTBUSINESS ANALYTICSPOWER BI DEVELOPER

I am interested in building analytical solutions, creating decision-ready dashboards, uncovering patterns in data and solving real business problems.

Explore selected work ↗View experience
HOW THE WORK FITS TOGETHER05 STEPS
01
INPUTRetail data enters the workflow
02
VALIDATEQuality and KPI checks
03
INVESTIGATEFind patterns and root causes
04
IMPROVEReduce friction in the process
05
DELIVERClear, reliable output
OPERATING PRINCIPLEMAKE DATA TRUSTWORTHY
80+retailers supported
500+files monitored monthly
100%KPI compliance
~95%issues resolved independently
01 / CORE

What I actually
work with.

My portfolio is bigger than one employer. The common thread is using analytics, statistics, data systems and business thinking to turn messy information into useful decisions.

01
◫
BUSINESS ANALYTICS

From raw numbers
to a clear story.

Power BI, Excel and data modeling used to explore sales, customer behaviour, product performance, KPIs and business trends.

$2.5M+e-commerce sales analyzed
02
∿
STATISTICAL ANALYSIS

Look for the
signal in the noise.

Statistical analysis, hypothesis testing, correlation analysis and anomaly detection applied to real analytical problems.

RSPSSSTATISTICS
03
⌘
DATA & AUTOMATION

Build the system
behind the answer.

SQL, Python, ETL, data integration, cleaning and transformation — with a focus on making analytical workflows reliable and repeatable.

SQLPYTHONETL
04
↗
PROBLEM SOLVING

Understand the
why, not just the what.

Root-cause analysis, process improvement, stakeholder collaboration and business insight sit underneath the technical work.

RCAPROCESSINSIGHTS
ACADEMIC FOUNDATIONMBA · BUSINESS ANALYTICSB.COM · STATISTICS2020 — 2025
02 / DATA LAB

Work that shows
how I think.

Two project stories that demonstrate the direction I want to grow into: business intelligence, analytics and data science.

01 / BUSINESS INTELLIGENCEPOWER BI
01

E-commerce
Sales Analysis

Interactive analysis of more than $2.5M in e-commerce sales data to understand purchasing behaviour, product performance and revenue trends.

DATA→MODEL→ANALYZE→VISUALIZE
$2.5M+sales analyzed
BIdecision-ready reporting
Power BIPower QueryExcelData Modeling
02 / STATISTICAL ANALYTICSR · SPSS
02

Digital Payment
Trends & Fraud

Analysis of digital transaction data to investigate suspicious patterns and potential fraud indicators through statistical analysis and anomaly detection.

HYPOTHESIS→TEST→INTERPRET
R ProgrammingSPSSHypothesis TestingAnomaly Detection
PROJECT PRINCIPLEDon't just show the dashboard. Show the question, the method and the insight.
03 / HOW I THINK

From question
to decision.

Good analytics is not only about tools. It starts by understanding the problem and ends by making the result useful.

01

UNDERSTAND

What is actually happening?

02

QUESTION

What do we need to know?

03

INVESTIGATE

What does the data tell us?

04

VALIDATE

Can we trust the result?

05

VISUALIZE

How can someone understand it quickly?

06

DECIDE

What should happen next?

04 / BUSINESS INTELLIGENCE

Turning data
into decisions.

Power BI is one of the clearest ways I connect technical data work with business outcomes.

POWER BIBUSINESS INTELLIGENCE
DATASQL · Excel · ETL
TRANSFORMPower Query
MODELRelationships · KPIs
ANALYZEDAX · Trends · Segments
DELIVERInteractive dashboards
DAXPOWER QUERYDATA MODELINGDASHBOARDSKPI DESIGN
05 / TECHNICAL STACK

Tools are useful.
Judgement matters.

Grouped by the work they help me do — not as arbitrary skill percentages.

DATASQLPythonRSPSS
BI & VISUALIZATIONPower BIDAXPower QueryExcel
DATA WORKETLData CleaningData ModelingData Integration
ANALYTICSStatistical AnalysisHypothesis TestingAnomaly DetectionRoot Cause Analysis
06 / WHERE I'M HEADING

Building toward roles where
data meets business.

DATA OPERATIONS→DATA ANALYTICS→BUSINESS ANALYTICS→BUSINESS INTELLIGENCE→DATA SCIENCE

The goal is not a job-title ladder. It is to keep moving toward work where analytical depth, technology and business decision-making intersect.

07 / CURRENTLY BUILDING

Still learning.
Still building.

A portfolio should show direction, not pretend the learning journey is finished.

01

Advanced Power BI

Dashboards · DAX · Data Modeling · Business Intelligence

02

Python for Data Science

Data analysis · Visualization · Automation · Analytical workflows

03

Statistical Analytics

Experimentation · Hypothesis testing · Modeling · Insight

02 / EXPERIENCE

One role.
Real responsibility.

Current experience, presented as responsibilities and measurable facts rather than generic corporate language.

JUL 2025 — PRESENT

Data Operations Analyst

NielsenIQ

BELGIUM · NETHERLANDS

Manage end-to-end data operations and data validation processes for Belgium and Netherlands markets, supporting 80+ retailers and maintaining high standards of data quality, accuracy and operational efficiency.

01

Data Quality & KPI Compliance

Validate and monitor 500+ retailer files monthly, maintaining 100% KPI compliance and enabling accurate business reporting.

02

Problem Solving

Resolve approximately 95% of operational and data quality issues independently through root-cause analysis.

03

Improvement & Automation

Identify automation opportunities and work on retailer structure optimization to reduce manual effort.

04

Collaboration & Mentorship

Lead high-priority market projects and support newly onboarded associates through structured knowledge transfer.

RECOGNITION

Two moments of
recognition.

🏆APRIL

Thumbs-up Token Winner

Recognized for retailer management and process improvement initiatives.

🏆DECEMBER

Thumbs-up Token Winner

Recognized for performance, stakeholder support and consistent delivery.

05 / EDUCATION

Academic
foundation.

Business analytics, commerce and statistics form the academic base behind the practical work.

09/2023 — 06/2025

Master of Business Administration (MBA)

Specialization in Business Analytics

10/2020 — 04/2023

Bachelor of Commerce (B.Com)

Specialization in Statistics

06 / CONTACT

Let's
talk.

If you're working on a data, analytics or business intelligence problem, you can reach me directly. No contact form theatre — just the actual channels.

Email salunkerohan94@gmail.com ↗LinkedIn @rohansalunke10 ↗Phone +91 6354514212 ↗