🔴 Customer Churn Prediction (Bank Customers) 🔴 In this project, I analyzed bank customer data to predict who might leave the bank. I cleaned and prepared the dataset by handling missing values and …

🔴 Credit Risk Prediction 🔴 A machine-learning–based analysis designed to predict whether a loan applicant is likely to default. Using a refined Credit Risk Dataset, I cleaned, processed, and visual…

🔴 Predicting Insurance Claim Amounts 🔴 This project analyzes the Medical Cost Personal Insurance Dataset to understand key factors influencing healthcare expenses. Through data cleaning, visualizat…

✨ Movie Rating Prediction ✨ Built a machine learning model to predict how users might rate movies they haven’t watched yet. Cleaned and preprocessed the rating dataset for accuracy and consistency.…

✨ Customer Segmentation Using Customers Dataset ✨ This project groups mall customers based on their age, income, and spending behavior to uncover distinct shopper personas. Using unsupervised machi…

🌟 Application Behavior Analysis 🌟 Using the Online Shoppers Intention dataset, it tracks engagement, drop-offs, and conversion trends. Conducted analysis with Python, Pandas, Matplotlib, and Seabor…

🌟 Internship Feedback Sentiment Analysis 🌟 This project analyzes internship feedback using sentiment analysis to uncover student emotions and opinions. By processing and visualizing textual data, i…

🌟 Performance Evaluation Metrics 🌟 Built using Python (Pandas, Matplotlib, Seaborn, Plotly) to automate data extraction, scoring, and reporting. Designed metrics like Task Completion, Project Quali…

🌟 Data Cleaning and Processing 🌟 Handled missing values, removed duplicates, standardized salary formats, and treated outliers for consistency.Revealed trends in company performance, job roles, and…

🌟 Fraud Detection in Application 🌟 Through Isolation Forest and K-Means Clustering, the project detects suspicious patterns like inconsistent income, duplicate entries, and unrealistic employment d…

🌟 Intern Performance Prediction Using Machine Learning 🌟 Using Python, Pandas, and Scikit-learn, I built a predictive model to estimate performance probability. Created 10+ colorful visualizations …

🌟 Introduce Your Self 🌟 Created a visual self-introduction video using text, visuals, and motion — without showing face. Highlighted my academic journey, tech interests, and passion for Data Analyt…

🌟 Internship Program Analysis 🌟 This project explores key trends in internship opportunities across various companies and roles. Using Python (Pandas, Matplotlib, Seaborn), the dataset was cleaned,…

I developed the Snowy Analytics Dashboard using Power BI to provide a comprehensive overview of ski resort data across the globe. The dashboard visualizes key insights such as the number of resorts…

✨ Titanic Survival Classification Using Titanic Dataset ✨ It involves data cleaning, feature engineering, and model building with Python’s Pandas, NumPy, and Scikit-learn libraries. Visualization t…

✨ Stock Price Prediction Using Tesla Dataset ✨ In this project, I analyzed Tesla’s historical stock data to forecast future closing prices using machine learning models like Random Forest Regressor…

🔷 Business Insights & Executive Report for E-Commerce Dataset 🔷 Analyzed sales, profit, delivery performance, and customer behavior across multiple Brazilian regions. Used DAX, data modeling, and v…

I created the Python Practice Questions Project by solving a collection of advanced-level Python problems to strengthen core programming skills. This project covers topics like data structures, alg…

I built a comprehensive SQL-Python E-commerce Project by solving a series of basic, intermediate, and advanced-level business questions. The project involved data exploration, analysis, and visuali…

🔷 Data Cleaning and Insight Generation from Survey Data 🔷 Cleaned and preprocessed Kaggle’s Data Science Survey data, handling missing values, duplicates, and categorical responses. Applied label e…

🔷 Customer Segmentation Using RFM Analysis 🔷 This project applies RFM (Recency, Frequency, Monetary) analysis to segment customers based on their purchasing behavior. Using Python (Pandas, Seaborn,…

🔷 Super Store Sales Analysis 🔷 Super Store Sales Analysis Dashboard built in MS Excel to analyze sales, profit, and customer behavior. Used Pivot Tables, Charts, and Slicers for interactive explora…