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Mainflow Internship — Data Analytics & Reporting

Overview

This repository contains my internship deliverables and analysis work completed during the Mainflow internship. The focus of the work includes exploratory data analysis (EDA), insights generation, and healthcare-related analytics using datasets such as heart disease and heart failure.

What’s Included

  • Internship task reports (PDF deliverables)
  • Healthcare analytics reports (Heart Disease / Heart Failure)
  • Findings and summaries from analysis work

Key Skills Demonstrated

  • Data exploration and data quality checks
  • Insight generation and reporting
  • Analytical thinking and structured documentation
  • Basic machine learning concepts (where applicable)

Repository Structure (Recommended)

To keep this repo recruiter-friendly, use this structure: Mainflow-Internship/ ├── README.md ├── reports/ │ ├── Task_1.pdf │ ├── Task_2.pdf │ ├── Task_3.pdf │ ├── Task_4.pdf │ ├── Task_5.pdf │ ├── heart_disease_report.pdf │ └── heart_failure_report.pdf └── notebooks/ ├── heart_disease_project.ipynb └── heart_failure_project.ipynb

Highlights

  • Created structured deliverables for multiple internship tasks
  • Documented insights from healthcare datasets to support decision-making
  • Practiced end-to-end analysis workflow: problem understanding → analysis → reporting

Next Improvements (Planned)

  • Add a Jupyter Notebook (notebooks/) showing the analysis workflow (EDA + model training)
  • Add a requirements.txt for reproducibility
  • Add charts/screenshots to make insights easier to scan

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Internship analytics portfolio: healthcare datasets (heart disease & heart failure) with EDA, modeling, and reporting deliverables.

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