Comprehensive Employee Attrition Analysis with Excel, SQL, Python

Comprehensive Employee Attrition Analysis with Excel, SQL, PythonComprehensive Employee Attrition Analysis with Excel, SQL, Python

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Sahil gaikwad

• Mar 10

This project provides an in-depth analysis of employee attrition using a multi-tool approach. By combining Excel dashboards, SQL analytics, and Python data science, this project delivers comprehensive insights into why employees leave and what factors drive turnover.

Data Visualization Python SQL Data Analysis Microsoft Excel

Istiak Ahmed Khan

• Mar 8

This Project Overview Dashboard provides a comprehensive view of project performance, financial outcomes, and operational progress across the organization. Built using Power BI, this dashboard enables project managers and executives to monitor key project metrics, evaluate cost efficiency, and track overall project status in real time.

Key KPIs Tracked:

✔ Total Projects – Number of active and completed projects ✔ Project Cost – Total investment allocated across projects ✔ Project Benefit – Estimated value or return generated from projects ✔ Net Benefit – Difference between project benefit and cost ✔ Average Completion Rate – Overall project progress percentage

Microsoft Power BI Data Analysis Data Science Data Visualization Microsoft Excel SQL

Geethasree Naguboina

pro

• Mar 10

Tracking Net Benefit alongside Project Cost in real time is really powerful for executive decision making — gives leadership the full financial picture without digging into raw data. Well structured dashboard!

Mani Sharan Bommakanti

• Mar 8

Built an end-to-end NLP pipeline to classify text reviews as Positive, Negative, or Neutral. Used NLTK for tokenization and lemmatization, TF-IDF for vectorization, and trained 3 ML classifiers — Logistic Regression, Naive Bayes, and SVM. Visualized sentiment trends and model accuracy using Matplotlib and Seaborn.