Summary
Overview
Work History
Education
Skills
Certification
Projects
Languages
Volunteer Jobs
Timeline
Generic

Darpan Bagrawat

Rouse Hill,Australia

Summary

Results-driven data analyst with experience at NSW Healthcare, enhancing inventory accuracy by 15% through data optimization. Proficient in Python and machine learning, I excel in delivering actionable insights via data visualization tools like Power BI. Strong problem-solving skills enable me to tackle complex challenges and drive data-informed decision-making.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Linen Department

NSW Healthcare
07.2024 - Current
  • Managed and tracked linen inventory using manual and computerized systems, ensuring accuracy and efficiency in data handling
  • Streamlined operational workflows by identifying inefficiencies and implementing process improvements, applicable to optimizing data workflows
  • Resolved operational challenges through data analysis and proactive problem-solving, skills transferable to debugging and data analysis in IT roles
  • Managed inventory tracking using manual and digital systems, improving data accuracy by 15%
  • Automated tracking workflows, reducing manual effort by 20% and enhancing operational efficiency
  • Analyzed inventory data to identify usage patterns and optimize supply chain management, reducing wastage by 10%

Data Science Intern

Nifty Labs Pty Ltd
04.2024 - 06.2024
  • Cleaned, transformed, and analyzed large-scale datasets using Python, Pandas, and SQL, ensuring high data quality, and enabling accurate predictive modeling.
  • Developed and deployed machine learning models (e.g., logistic regression, decision trees) to identify patterns and predict customer behavior, improving data-driven decision-making.
  • Created interactive dashboards and data visualizations using Power BI, Matplotlib, and Seaborn to effectively communicate actionable insights to stakeholders.
  • Collaborated with cross-functional teams to gather business requirements, perform exploratory data analysis (EDA), and deliver scalable analytical solutions aligned with KPIs.

Intern

IEEE
09.2021 - 10.2021
  • Learned using machine learning algorithms and also tools
  • Participated in workshops and presentations related to projects to gain knowledge

Education

Master of Data Science -

Macquarie University
Sydney
07.2025

Bachelor of Computer Applications -

Amity University
other
06.2023

High School -

Lancers Convent School
Delhi, INDIA
01-2020

Skills

  • Business Intelligence
  • Data analysis
  • Data visualization
  • Machine learning
  • MySQL
  • Object-Oriented Programming
  • Power BI, Tableau
  • Predictive modeling
  • Python
  • R
  • Statistical modeling

Certification

  • Data Analyst Career Path - Microsoft
  • Object Oriented Programming in Java
  • Introduction to Front-End Development

Projects

Real-Time Sales Insights Dashboard for a Computer Hardware Business

  • Designed and managed relational databases in MySQL, optimizing SQL queries for efficient data retrieval, and seamless integration with Power BI
  • Consolidated and transformed sales data from multiple sources, implementing robust ETL processes to ensure data accuracy and readiness for reporting
  • Built interactive dashboards in Power BI using advanced DAX calculations to visualize real-time insights into revenue, sales performance, and market trends
  • Developed a mobile-optimized dashboard layout, enabling real-time access to insights for regional managers, and senior stakeholders
  • Enabled the business to identify a 12% decline in sales revenue over Q2, helping leadership recognize underperforming regions, and initiate corrective actions

Diabetes prediction using machine learning

  • Developed a predictive model for the early detection of diabetes using K-Nearest Neighbors (KNN) and Linear Regression algorithms
  • Performed comprehensive data preprocessing, including handling missing values, feature scaling, and data cleaning, to enhance model performance
  • Applied hyperparameter tuning (GridSearchCV) to optimize model parameters, significantly improving accuracy and recall metrics
  • Visualized key features and model performance using Matplotlib and Seaborn for better interpretability
  • Tools and Libraries: Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn

Languages

  • English
  • Hindi

Volunteer Jobs

  • Sankalp - NGO, Event Management, 2 months, Led several events on social topics.
  • Vrikshit Foundation – NGO, Volunteer, Joined weekend cleaning drives.

Timeline

Linen Department

NSW Healthcare
07.2024 - Current

Data Science Intern

Nifty Labs Pty Ltd
04.2024 - 06.2024

Intern

IEEE
09.2021 - 10.2021

Master of Data Science -

Macquarie University

Bachelor of Computer Applications -

Amity University

High School -

Lancers Convent School
Darpan Bagrawat