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
I connect data and people—turning complex information into clear dashboards, useful models, and better decisions.
Perspective reveals structure.
Real datasets. Practical questions.
A closer look at the methods.
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.
View project01 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;Using joins, CTEs, and window functions to explore revenue trends and customer segments.
Built in Power BI to compare customer geography, card type, and account measures.
Predicting telecom customer churn with feature engineering, preprocessing, and deep learning.
Cleaning housing data and building regression models for the Greater Toronto Area market.
Using labeled email data and scikit-learn to classify phishing and legitimate emails.
Classifying Alzheimer's disease from MRI scans with convolutional neural networks.
Classic reinforcement learning algorithms implemented from scratch in Python.
That’s where analysis becomes useful.
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 turn it into dashboards, customer segments, and predictive models.
I also build machine learning and deep learning projects from scratch — clustering, churn prediction, CNNs, and reinforcement learning — with AI tools like ChatGPT and Claude in the loop.
I’m seeking a junior data analyst, data scientist, or marketing analytics role where thoughtful work can make a difference.
View résuméSeneca Polytechnic · Ontario College Diploma
2023 — 2025Machine learning · Deep learning · NLP · Power BI
CURRENT FOCUSChoose the method that fits the question.
Clean, structure, and explore datasets to answer focused questions.
Build clear dashboards and communicate what the data shows.
Model customer groups, test patterns, and build with machine and deep learning.
Pair technical analysis with marketing strategy, business context, and communication.
ALSO EXPLORINGDeep neural networks · CNNs · Reinforcement learning · NLP
AI TOOLSChatGPT · Claude · GitHub Copilot
HUMAN LANGUAGESEnglish (C1, IELTS 8.0) · Hindi · Gujarati
Structured learning, applied through projects.
Complete Data Science, Machine Learning, DL & NLP Bootcamp
Natural language processing, Tableau, and 16 more skills. Credential ID UC-d8be2692-b47c-437e-9422-11520e426ae8.
Professional Certificate
Data lifecycle, analysis, visualization, SQL, spreadsheets, and Tableau.
Professional Certification
Content strategy and a data-driven approach to the marketing funnel.
Classroom Training & Certification
Python, statistics, Excel, Tableau, SQL, and project development.
Have a role, project, or question in mind? Tell me what you’re working on.
aknaeem246@gmail.com