Summary
Overview
Work History
Education
Skills
Websites
Certification
Projects
ACHIEVEMENTS & ACTIVITIES
Timeline
Generic

POORAB AGRAWAL

Greater Noida

Summary

Final-year B.Tech student with practical exposure to Python, SQL, Tableau, and MS Excel. Works in data analysis, EDA, and dashboard development for business reporting and decision support. Currently developing an RFM-based customer segmentation project using Python and Tableau. Strong analytical thinking, communication, and eagerness to grow in a BI and data analytics role.

Overview

1
1
Certification

Work History

Data Analyst Intern

BrokBuddy
Noida
01.2026 - 04.2026
  • Utilized Excel and SQL for efficient data extraction and analysis.
  • Analyzed data trends to support informed business decisions.
  • Created data visualizations and dashboards in Tableau to monitor business metrics.
  • Collaborated with team members to clarify data requirements and specifications for improved analysis.
  • Participated in brainstorming sessions to identify and propose solutions for data challenges.

Education

Bachelor of Technology - CSE

SHARDA UNIVERSITY
Greater Noida
05-2026

Intermediate -

DREAMS VALLEY PUBLIC SCHOOL
Satna, Madhya Pradesh
03-2021

Skills

  • Programming: Python (Pandas, Matplotlib, Seaborn), SQL
  • Data Visualization: Tableau, MS Excel
  • Data Tools: Data Cleaning, Data Modeling, Dashboard Design
  • Customer Segmentation
  • Statistical Analysis
  • Strong Communication
  • Analytical Thinking
  • Team Collaboration

Certification

  • Amazon Deep Dive on AWS Fargate
  • Deloitte Data Analytics Job Simulation
  • Udemy Data Analyst Bootcamp

Projects

Project 1 Title:  Retail Customer Segmentation using RFM Analysis, In Progress

Python (Pandas, Matplotlib) · Tableau · Online Retail II Dataset (Kaggle)

• Segmenting 500K+ retail transactions using RFM (Recency, Frequency, Monetary) scoring to classify customers into Champions, Loyal, At-Risk, Promising, and Lost segments

• Cleaning and transforming raw transactional data using Pandas in which handling nulls, cancellations, and outliers

• Building an interactive Tableau dashboard with segment distribution, revenue-by-tier, and RFM scatter plot

• Identifying top 20% customers driving ~65% of revenue to enable targeted marketing strategies

Project 2 Title:  A Triple-Branch Graph Neural Network with Multiview Attention Fusion for EEG based Autism Spectrum Disorder Detection, 2025-2026

(PyTorch Geometric, MNE-Python) · Matplotlib · Sheffield ORDA Dataset

  • Developed an AI model (TB-GNN) that detects Autism from brain scan (EEG) data with 86.91% accuracy.
  • Designed a custom fusion layer that combines three different types of neural networks to better understand complex brain connections.
  • Automated data cleaning using MNE-Python and ICA to remove noise like eye blinks and heartbeats from raw signals.
  • Converted raw brain signals into digital maps (Graphs) to analyze how different parts of the brain communicate.
  • Optimised for real-world use, ensuring the model provides a diagnosis in under 2 seconds on standard computers.

ACHIEVEMENTS & ACTIVITIES

Patent Applicant: Filed Indian Patent (No. 202611052308) for a novel AI-based EEG diagnostic model.

Performance Arts: Lead Guitarist and Vocalist for the University Music Club; represented Sharda University at premier national cultural fests, including IIT Kanpur, IIT Roorkee and IIT-BHU

Timeline

Data Analyst Intern

BrokBuddy
01.2026 - 04.2026

Bachelor of Technology - CSE

SHARDA UNIVERSITY

Intermediate -

DREAMS VALLEY PUBLIC SCHOOL
POORAB AGRAWAL