Explore the cross-section of analytics, product, and security work. Every build blends storytelling, business context, and technical execution for real-world impact.
Analyzed Amazon reviews using Python & SQL for sentiment classification. Visualized insights with Power BI & Tableau, pie charts for sentiment, word clouds, rating correlation, and category-wise trends. NLP preprocessing used to extract key themes.
View on GitHub View on GitHubAnalyzed real-time stock data for multiple companies using Python and yfinance. Visualized daily closing prices, moving averages, Bollinger Bands, and volume-price trends. Includes sector-wise comparison to uncover investment patterns. Tools: Python, SQL, Power BI, Tableau.
View on GitHub View on GitHubSegmented customers using RFM (Recency, Frequency, Monetary) analysis to identify loyal, at-risk, and churned users. Used Python for scoring and clustering, and visualized insights in Power BI/Tableau to support targeted marketing and retention strategies through interactive dashboards.
View on GitHub View on GitHubExplored IBM HR data to identify factors influencing employee attrition using Python, SQL, and Power BI/Tableau. Analyzed trends by department, job role, salary, and work-life balance. Built a binary classification model for attrition prediction using integrated visuals in BI tools.
View on GitHub View on GitHubDeveloped a sales dashboard using Python, SQL, Power BI, and Tableau to analyze retail data. Tracked revenue, profit, and quantity sold across regions and categories. Included time-series trends, region-wise breakdowns, and profit heatmaps for actionable business insights.
View on GitHub View on GitHubAnalyzed Netflix’s content trends by genre, country, and type using Python and SQL. Visualized year-wise growth, genre distribution, and movie vs TV patterns in Power BI and Tableau. Insights highlight Netflix’s evolving global content strategy and production focus.
View on GitHub View on GitHubAnalyzed real estate transaction data using Python, SQL, Power BI, and Tableau to predict housing prices. Explored relationships between features like square footage, bathrooms, and location. Built a regression model, visualized price distribution, and identified top predictors using heatmaps and model coefficients.
View on GitHub View on GitHubAnalyzed U.S. Census income data to classify individuals earning over $50K/year using Python, SQL, Power BI, and Tableau. Visualized income distribution by age, education, and marital status. Built classification models and plotted feature importance. Dashboards include filters for race, gender, and workclass to aid exploration.
View on GitHub View on GitHubExploratory data analysis of global happiness scores with a focus on economic, health, and governance indicators. Visualizations include top/bottom countries by happiness, regional comparisons, and factor-based correlations.
View on GitHub View on GitHubAnalyzed student exam scores to uncover performance trends based on gender, ethnicity, lunch type, and test preparation. Visualized average scores and correlations across math, reading, and writing using Python (Pandas, Seaborn).
View on GitHub View on GitHubAn e-commerce platform that allows users to browse products, add them to a shopping cart, and complete the checkout process. Integrated with a payment gateway for seamless transactions, and a basic admin panel for product management. Tech Stack: HTML5, CSS3, JavaScript (React or Vue.js), Node.js, MongoDB, Stripe API
View on GitHub View on GitHubCreate a platform for users to donate to various non-profit organizations. Display each charity's mission, donation needs, and goals. Implement secure payment systems (Stripe), recurring donations, and user profiles. Track donations, provide receipts, and show fund usage transparency. Built with React, Node.js, and MongoDB.
View on GitHub View on GitHubBuild a dynamic to-do list app with CRUD functionality using MERN stack (MongoDB, Express, React, Node.js). Users can add, edit, delete, and categorize tasks, while storing data securely in a database. Enhance the UI with React hooks, Material UI, and local storage for better usability.
View on GitHub View on GitHubA full-stack Employee Management System built with the MERN stack (MongoDB, Express, React, Node.js). Features secure authentication, role-based access, CRUD operations, and real-time employee data management. Designed for efficiency, scalability, and intuitive user experience.
View on GitHub View on GitHubMy personal portfolio website showcasing my projects, skills, and experience in data analytics, machine learning, and web development. Built with HTML5, CSS3, and JavaScript (ES6) for simple and user-friendly experience. Designed for clean UI, fast performance, and responsive design.
View on GitHub View on GitHubBoosting-based ML pipeline that curates balanced URL datasets, engineers interpretable features, and benchmarks stacked ensembles to flag malicious web, social, QR, and custom links.
View on GitHub View on GitHubAI Chatbot with Flask Build a chatbot using Flask and integrate AI capabilities (using TensorFlow). The chatbot can answer basic user queries, perform tasks, and learn from interactions. Use Flask to handle user requests, and deploy the bot with a simple UI for easy interaction.
View on GitHub View on GitHubA Python script that uses machine learning to automate tasks on websites, such as intelligent form filling, data scraping, and pattern recognition. It leverages ML algorithms to optimize web automation processes, making them more adaptive and intelligent.
View on GitHub View on GitHubThis Python-based honeypot application is designed to attract and trap malicious web traffic. It's used to monitor and analyze potential threats by setting up decoy systems that seem vulnerable but are actually traps for cyber attackers.
View on GitHub View on GitHubA web application built for malware analysis. It helps in analyzing suspicious files and detecting harmful behavior. This tool aims to enhance security by providing an accessible platform for tracking and understanding malicious activities online.
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