Naeem NagoriDATA ANALYSTRésumé
ANALYTICAL THINKING. HUMAN PERSPECTIVE.Open to opportunities
+ HELLO, I’M NAEEM

Making data
mean more.

I connect data and people—turning complex information into clear insights and better decisions.

Explore my work Let’s talk
FIG. 001THE SHAPE OF INSIGHT

Perspective reveals structure.

BASED IN AHMEDABAD, INDIA ↗Data analytics / Customer insights / Business intelligence
TOOLS I USE
SQL✳Python✳Power BI✳Excel✳scikit-learn
01 / SELECTED WORKQUESTIONS INTO PRACTICE

Proof in the work.

Real datasets. Practical questions.
A closer look at the methods.

06 PROJECTS
01 / FEATURED PROJECT

From raw records
to customer groups.

Hotel Customer Segmentation

Cleaning and analyzing 83,590 hotel customer records to explore booking behavior, revenue, and customer groups with K-Means, DBSCAN, and HDBSCAN.

PythonClusteringPCA & t-SNE
View project
CUSTOMER SEGMENTATIONPY / 01
CLUSTER ACLUSTER BCLUSTER C
CONCEPTUAL CLUSTER MAPPCA / t-SNE
83,590CUSTOMER RECORDS ANALYZED.
customer_insights.sql
01 SELECT customer_segment,
02 SUM(revenue) AS total_revenue,
03 RANK() OVER (
04 ORDER BY SUM(revenue) DESC
05 ) AS revenue_rank
06 FROM customer_data
07 GROUP BY customer_segment;
QUERY STUDYRevenue by segment
02 / SQL ANALYSIS

Revenue, segmented.

Using joins, CTEs, and window functions to explore revenue trends and customer segments.

SQLBusiness analysisDatabase design
Customer overviewCHURN & RETENTIONAll customers⌄
Customers by geography
GEOGRAPHY COMPARISON
Customer
retention
ACCOUNT OVERVIEW
Conceptual dashboard previewPOWER BI
03 / BUSINESS INTELLIGENCE

Customer churn, in one view.

Built in Power BI to compare customer geography, card type, and account measures.

Power BIDashboardsReporting
MORE PROJECTSMODELING & CLASSIFICATION
04

Customer churn prediction

Predicting telecom customer churn with feature engineering, preprocessing, and deep learning.

DEEP LEARNING05

GTA house price prediction

Cleaning housing data and building regression models for the Greater Toronto Area market.

PREDICTIVE MODELING06

Spam email detection

Using labeled email data and scikit-learn to classify phishing and legitimate emails.

CLASSIFICATION
Browse the full project collection.View GitHub profile
02 / BEHIND THE ANALYSISBUSINESS CONTEXT. HANDS-ON ANALYSIS.

The numbers matter.
So do the people.

That’s where analysis becomes useful.

Naeem.BUSINESS & MARKETING GRADUATE.
DATA ANALYST IN PRACTICE.

I’m Naeem Nagori, a business and marketing graduate from Seneca Polytechnic in Toronto, now based in Ahmedabad, India.

I use SQL, Python, and Power BI to clean data, explore customer behavior, and make the findings clear and useful.

I’m seeking a junior data analyst, reporting, or marketing analytics role where thoughtful work can make a difference.

View résumé
THE FOUNDATION

Business & Marketing

Seneca Polytechnic · Ontario College Diploma

2023 — 2025
IN PRACTICE

Data & Customer Insights

SQL analysis · Python segmentation · Power BI

CURRENT FOCUS
03 / MY TOOLKITCLEANING · ANALYSIS · COMMUNICATION

From questions
to clarity.

Choose the method that fits the question.

01
ANALYSIS & PREPARATION

Prepare the data.

Clean, structure, and explore datasets to answer focused questions.

  • SQL · joins, CTEs, window functions
  • Python · pandas & NumPy
  • Data cleaning & ETL
  • Exploratory data analysis
02
REPORTING & VISUALIZATION

Make it visible.

Build clear dashboards and communicate what the data shows.

  • Power BI & Power BI Service
  • Advanced Excel & automation
  • Matplotlib & Seaborn
  • Dashboard design & data storytelling
03
MODELING & METHODS

Test the patterns.

Model customer groups and test whether the findings hold up.

  • K-Means, DBSCAN & HDBSCAN
  • scikit-learn & predictive modeling
  • Feature engineering & validation
  • PCA, t-SNE & A/B testing
04
TOOLS & COLLABORATION

Add the context.

Pair technical analysis with business context, documentation, and communication.

  • Jupyter Notebook & Git / GitHub
  • Relational databases
  • Business & marketing acumen
  • Documentation & presentation

ALSO EXPLORINGDeep neural networks · CNNs · Reinforcement learning

HUMAN LANGUAGESEnglish (C1, IELTS 8.0) · Hindi · Gujarati

04 / CREDENTIALS

Study, then
build.

Structured learning, applied through projects.

Google / Coursera

Google Data Analytics

Professional Certificate

Data lifecycle, analysis, visualization, SQL, spreadsheets, and Tableau.

2025
HubSpot Academy

Inbound Marketing

Professional Certification

Content strategy and a data-driven approach to the marketing funnel.

2024
TOPS Technologies

Data Analytics

Classroom Training & Certification

Python, statistics, Excel, Tableau, SQL, and project development.

2023
05 / GET IN TOUCHOPEN TO OPPORTUNITIES

Let’s talk about
the work.

Have a role, project, or question in mind? Tell me what you’re working on.

aknaeem246@gmail.com
LinkedIn GitHub Ahmedabad, India
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