01
Diagnose
Inspect structure, data types, missingness, and quality issues before touching modelling.
BUSINESS ANALYTICS PORTFOLIO
Parth Chetan Rajguru
I turn messy data into clear decisions.
Exploratory Data Analysis, regression baselines, and business storytelling, delivered in clean, reproducible notebooks with proof on GitHub.
EDA
Clean + Visual
Regression
MAE / RMSE / R²
Proof
GitHub-first
Sydney, Australia
Open to Business Analyst / Graduate Analyst opportunities
How I Work
Employers don’t need more charts. They need clarity. I work in a structured flow that turns raw data into decisions you can defend.
02
Explain
Visualize distributions and relationships to reveal the story the data is already telling.
03
Model
Build clean baselines using regression to quantify impact and set performance expectations.
04
Translate
Write insights in plain business language so stakeholders can act without guesswork.
Projects
Scan fast. Click if you want depth. Horizontal scroll (trackpad) rotates through projects. Vertical scroll continues the page normally.
EDA Case Study
Cleaned the dataset, handled missing values/outliers, and produced key insights using structured EDA and visuals.
- Data inspection + structure checks
- Missing values strategy + quality fixes
- Clear visuals + interpretation
Sales Forecasting (Time Series)
Time series analysis and forecasting of BMW sales revenue to uncover trends, seasonality, and business insights.
- Trend + seasonality checks
- Forecast-ready time series preparation
- Business interpretation of patterns
Australian Lighting Sales Insights
A data-driven analysis of Australian lighting sales focused on cleaning, exploration, and uncovering actionable business insights.
- Data cleaning + validation
- Outliers handled with IQR logic
- Insights written for decision-makers
Possum Analysis: Cleaning, Testing & Regression
This project applies data cleaning, outlier treatment, hypothesis testing, and regression modeling to possum morphological data.
- Statistical testing to validate differences
- Multiple regressions with interpretation
- Assumption checks + clear conclusions
Sales & Profitability: Findings + Modelling
Comprehensive sales and profitability analysis using data cleaning, EDA, statistical testing, and regression modeling.
- Cleaned and structured the dataset
- Insights backed by statistical checks
- Regression baseline for explainable impact
Credibility
Strong analytics is not just tools. It is method, communication, and consistency. Here’s the foundation behind my work.
Education
- Master of Business Analytics – Macquarie University (Expected 2027)
- Bachelor of Management Studies – University of Mumbai (CGPA 7.81)
Certifications
- Machine Learning – Simplilearn (Caltech)
- Data Science – Simplilearn (Caltech)
- Generative AI – Simplilearn
- Python – Simplilearn
- Advanced Excel – MKCL
Experience
Data Reporting & Operations Support
Anarock Property Consultants
- Maintained operational datasets and management reports
- Supported data-driven decision-making
Work Rights
- Eligible to work in Australia under a Student Visa
- Employment aligned with my field may permit extended working hours under visa regulations
Contact
Direct contact only. No forms. No friction.