Projects - Solving problems that make a difference.

MongoDB Concert Analytics Project – Advanced Data Modeling & Querying

• •Designed and implemented a document-based database using MongoDB to analyze over 1,000 concert records, enhancing aggregation efficiency for large datasets.
• •Developed advanced pipelines with $match, $group, $unwind, $facet, and $project for multi-level data exploration.
• •Built queries to uncover insights such as profitability trends, attendance analysis, and media influence.
• •Visualized and validated schemas using MongoDB Compass, ensuring consistency and optimization for analytics.

Advanced Analytics Project – Classification & Regression Models

• •Implemented Decision Tree and kNN models using Python and R, achieving a predictive accuracy of 85% on UCI Heart Disease data.
• •Built a multiple linear regression model to predict student performance using socio-demographic and academic features.
• •Conducted detailed Exploratory Data Analysis (EDA) and visualized relationships using ggplot2.
• •Compared model performance using Accuracy, RMSE, and Confusion Matrix for evaluation and interpretability.

Tableau Project – LinkedIn Analytics Dashboard

• •Designed and developed an interactive Tableau dashboard analyzing 10,000+ simulated LinkedIn records to study salary trends and diversity metrics.
• •Created calculated fields, parameters, and filters for dynamic exploration and comparison across demographic groups.
• •Built visualizations including scatter plots, box plots, bullet charts, and geo-maps to highlight workforce insights.
• •Delivered a user-friendly analytical dashboard that enhanced data accessibility for HR and management stakeholders.