ASPIRING DATA SCIENTIST

PRANJAY GULERIA

> Building data pipelines, extracting insights, and deploying ML models. > Melbourne, VIC · +61 422 401 595

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[01] ABOUT ME

"Transforming raw data into actionable insights and robust ML systems."

SYSTEM_USER: PRANJAY_G

Aspiring Data Scientist pursuing a Master of Data Science at RMIT University, Melbourne. I have hands-on project experience spanning data cleaning, EDA, statistical analysis, machine learning, cloud data engineering, and dashboard development.

Proficient in Python, SQL, AWS, and Power BI/Tableau, with practical exposure to real-world fintech and property datasets through independent projects and job simulations with BCG and Deloitte Australia.

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LOCATION → Melbourne, VIC, Australia

EDUCATION → Master of Data Science, RMIT

BACKGROUND → B.Tech AI, Bennett Univ.

FOCUS_NOW → Cloud Data Eng · ML · EDA

CONTACT → pranjayguleria@gmail.com

[02] EXPERIENCE

Job Simulations & Projects

June 2026 Job Simulation Forage

Data for Decision Makers Job Simulation

BCG

Analysed customer conversion trends using simulated data to assess multi-channel ad campaign effectiveness.
Synthesised insights into a clear, data-backed recommendation tailored to the client's marketing goals.

Data Analysis Marketing Analytics Business Strategy

June 2026 Job Simulation Forage

Data Analytics Job Simulation

Deloitte Australia

Covered data analysis and forensic technology; built a data dashboard using Tableau to surface key findings.
Used Excel to classify data and draw business conclusions.

Tableau Dashboarding Excel Forensic Tech

[03] PORTFOLIO

Featured Projects

Event-Driven Architecture · Data Lake · React

Melbourne Housing Analytics AWS Pipeline

End-to-end, event-driven data pipeline on AWS. Processes housing data from raw CSVs through an automated ETL pipeline (Bronze/Silver/Gold) and exposes analytics through an API to a React dashboard.

Architecture: S3 → EventBridge → Glue → Athena → Lambda → API Gateway → React
Impact: Moved from manually triggered ETL to fully automated event-driven processing

View Project ↗

AWS Data Lake ETL Pipelines Serverless Event-Driven React

Python · SQLite3 · Regex · CRISP-DM

Melbourne Housing & Rental Affordability Index

Identified low-cost, CBD-proximate suburbs for international students from 18,500+ scraped listings after a PII privacy audit. Normalised data into a 3-table relational schema and visualised suburb-level rent-vs-distance trends using Matplotlib & Seaborn.

Technical Detail: Used Regex to clean corrupted currency fields. Wrote SQL (LEFT JOIN, GROUP BY, HAVING) to isolate statistically reliable, affordable suburb clusters.

Python SQL Data Cleaning EDA CRISP-DM

Python · FastAPI · Streamlit · MLflow · Docker

Real-Time Credit Card Fraud Detection Engine

Built a fraud classifier for 284,807 transactions with extreme class imbalance (0.172% fraud) using SMOTE + Random Forest. Deployed a containerised FastAPI + Streamlit microservice via Docker Compose.

Technical Detail: Preprocessed features with RobustScaler, tracked experiments in MLflow, and delivered a live demo with a 30-feature prediction form and an MLOps roadmap.

Live Demo ↗

Machine Learning FastAPI Docker MLflow MLOps

[04] EXPERTISE

Skills & Technologies

Data Analytics & ML

Python (Pandas, NumPy, Matplotlib) 90%

SQL (PostgreSQL, SQLite) 85%

Data Cleaning & EDA 90%

Power BI & Tableau 80%

Machine Learning (Scikit-Learn) 75%

Statistical Analysis 80%

Cloud Engineering & Tools

AWS (S3, Glue, Athena, Lambda) 80%

Amazon SageMaker 75%

API Gateway & EventBridge 75%

React / Vite / Tailwind CSS 80%

Docker & MLflow 70%

Advanced Microsoft Excel 85%

Tech Stack Core

Python SQL Power BI Tableau AWS SageMaker Pandas Scikit-Learn Docker MLflow FastAPI React Excel PostgreSQL

[05] EDUCATION

Academic Background

INCOMING 2026 → Present

Master of Data Science

RMIT University

Melbourne, Australia

COMPLETED 2020 → 2024

B.Tech — Artificial Intelligence

Bennett University

Greater Noida, India

[06] RECOGNITION

Certifications

Certificate Name	Issuer
AWS Academy Graduate — ML Foundations	Amazon Web Services
Cybersecurity Essentials	Cisco
Python for Data Science and AI	IBM / Coursera

[07] INQUIRIES

LET'S
BUILD
SOMETHING.

Say Hello →

EMAIL → pranjayguleria@gmail.com

PHONE → +61 422 401 595

LINKEDIN → linkedin.com/in/pranjay19

LOCATION → Manor Lakes, VIC 3024