Case Studies

Organizations needed comprehensive insights into employee performance and success metrics to make data-driven HR decisions, optimize workforce management, and identify high-performing employees.

Developed a comprehensive SQL-based analysis system with Power BI dashboards featuring 26 slides and 22 interactive visualizations. The solution provides real-time employee performance metrics, success indicators, and actionable HR insights.

• Designed and optimized SQL queries for employee data extraction
• Created data models for performance metrics and success indicators
• Built interactive Power BI dashboards with 22 visualizations
• Implemented filtering and drill-down capabilities
• Developed comprehensive analysis reports

Green Cart Ltd needed to understand sales patterns, customer behavior, and product performance to optimize inventory, improve customer retention, and increase revenue. Raw data from multiple sources required cleaning and analysis.

Conducted comprehensive data analysis using Python (Pandas, NumPy, Matplotlib, Seaborn) with 78 code cells. Performed data cleaning, feature engineering, statistical analysis, and created multiple visualizations to uncover key business insights.

• Loaded and merged data from 3 CSV files (sales, products, customers)
• Cleaned and standardized data (text, dates, numeric values)
• Engineered features (revenue, price bands, loyalty tiers, order weeks)
• Created summary tables for key metrics
• Developed multiple visualizations (line plots, bar charts, boxplots, heatmaps, countplots)

Stream Works Media was experiencing customer churn and needed to predict which customers were likely to cancel their subscriptions. This would enable proactive retention strategies and reduce revenue loss.

Developed a machine learning-based churn prediction system using Python and Scikit-learn. The solution includes predictive models, customer segmentation, risk scoring algorithms, and actionable retention insights.

• Collected and prepared customer data for analysis
• Engineered features for churn prediction
• Developed machine learning models using Scikit-learn
• Implemented customer segmentation algorithms
• Created risk scoring and churn probability metrics
• Generated actionable retention strategy recommendations

NovaMed Solutions needed comprehensive sales performance insights to identify top-performing drugs, understand profit margins, analyze customer behavior, and optimize sales strategies in the pharmaceutical market.

Created an advanced Power BI dashboard featuring top/bottom analysis with profit margin tracking (82%), revenue trends, drug performance metrics, and customer segmentation. The solution provides interactive business intelligence for strategic decision-making.

• Analyzed sales data for top/bottom drug performance
• Calculated profit margins and revenue metrics
• Developed customer performance analysis
• Created month-on-month trend visualizations
• Built interactive dashboard with filtering capabilities