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Aspiring Data Analyst & AI/ML Engineer passionate about transforming data into actionable insights through machine learning and analytics.
I'm a Computer Science student at Dr. A.P.J. Abdul Kalam Technical University with a strong foundation in Data Analytics, Machine Learning, Python, SQL, and Business Intelligence. I specialize in transforming raw data into actionable insights through interactive dashboards, predictive models, and data-driven solutions. Passionate about solving real-world challenges, I continuously explore innovative ways to leverage AI and analytics for impactful decision-making.
Back in 2020 at MGS Inter College, Sultanpur — a time filled with friendships, classroom memories, and unforgettable moments. These school days played an important role in shaping who I am today. Grateful for the lessons, experiences, and lifelong bonds created during this journey. 💙
Some moments become memories for a lifetime. Grateful for friends, experiences, and unforgettable college days. ❤️
Collecting, cleaning, analyzing, and transforming data into actionable insights using Python, SQL, Excel, and Power BI.
Leveraging Python, Pandas, NumPy, Matplotlib, and Seaborn for data analysis, automation, and visualization.
Designing, querying, and optimizing databases to efficiently store, manage, and retrieve business-critical data.
Building predictive models using Scikit-learn and machine learning techniques for classification, regression, and intelligent decision-making.
A fully interactive Real-Time Object Detection System built using Python, YOLOv8, SSD MobileNet, OpenCV, and Streamlit with WebRTC live camera streaming.
Rainfall Prediction using Logistic Regression on weather data (temperature, precipitation, and wind speed) to accurately classify whether rainfall will occur (Yes/No).
An AI-powered FAQ Assistant built using Next.js, Node.js, Express.js, MongoDB Atlas, and OpenRouter AI. Users can ask questions, receive AI-generated responses, and view stored conversation history.
A data-driven Power BI dashboard that visualizes temperature, humidity, wind speed, UV index, air quality (PM2.5, PM10, CO, NO2, SO2, O3), and rain probability with clear and actionable insights.
The Spotify Dashboard is an interactive Power BI report designed to help music analysts, playlist managers, and marketing teams uncover insights from Spotify’s Top 50 dataset.
Built a real-time cryptocurrency analytics dashboard to track market trends, price movements, trading volume, and top-performing coins using Power BI, DAX, and API integration.
Designed an interactive Fitness Analytics Dashboard in Power BI with custom Figma-based UI to track workout progress, member performance, and key health metrics.
This project focuses on analyzing insurance policyholders, vehicle details, and claim patterns to generate meaningful business insights using Power BI. The goal of this dashboard is to help insurance companies:
This project demonstrates how static assets (HTML, CSS, JS, Images, and Videos) are served to clients via a Static Host (e.g., Nginx, GitHub Pages) and optimized using a CDN (Cache Layer) for performance.