🚀 Projects

📜 Data Cleaning and Visualization: Insights through Preparation and Analysis

This project performs data cleaning and visualization on a dataset containing information about individuals' educational backgrounds and employment outcomes. It is divided into two main parts: data cleaning and data visualization.

🏷️ Interactive Data analysis dashboard using Python

This interactive data exploration and visualization dashboard allows you to upload a CSV file, clean the data, and visualize various insights with customizable charts. You can perform data wrangling, handle missing values, remove duplicates, and explore relationships between features through visualizations like histograms, bar charts, pie charts, and sales funnel charts.

📮 Exploring Influential Factors in Student Academic Performance

This project explores the key factors that impact student academic performance using a comprehensive dataset of student records. The analysis focuses on identifying patterns and correlations between exam scores and variables such as gender, attendance, study time, school type, tutoring support, and family income. Specific attention is given to students scoring below 70, with the aim of uncovering actionable insights that can help educators and policymakers support at-risk students more effectively.

📚 Analyzing the evaluation process for International Student Application in U.S. Universities

Conducted research on the various admission processes at different universities across the USA. Utilizing AnyLogic, a powerful simulation and modeling tool, I analyzed and optimized these processes. By making targeted adjustments to the existing procedures, we were able to streamline operations and significantly enhance efficiency. The optimizations led to a remarkable 70% improvement in the overall admission process, reducing wait times, minimizing errors, and improving the overall experience for prospective students. Also have written a paper for the same.

📋 R Data Insights

This R project focuses on analyzing a customer behavior dataset sourced from Kaggle. It includes data on customer demographics, purchasing activity, and interactions with marketing campaigns. The project involves data wrangling to clean and transform the data, followed by analysis to uncover patterns in how customer segments respond to marketing efforts. Predictive analysis will be applied to forecast customer behavior, helping optimize future marketing strategies. The goal is to identify key insights to enhance marketing targeting and improve customer engagement.

📖 Student Performance Analysis and Tracking System

The Student Performance Analysis and Tracking System is an SQL tool that consolidates data on grades, attendance, assessments, and extracurricular activities to track student progress. It helps teachers identify trends and intervene when needed while keeping parents and administrators informed. This system aims to improve student outcomes by providing targeted support and optimizing resources and teaching methods.

📜 Improving Customer Retention using Data Analysis

Led a full-cycle data project combining project management and analytics to understand and reduce customer churn. Created a project charter, stakeholder map, risk register, and managed progress using Gantt charts and WBS. Conducted data cleaning, exploratory analysis, and visualizations using Python to uncover key churn drivers like contract type and tenure. Delivered actionable insights to enhance customer retention strategies.