Web, mobile, and ML/data science work with clear Problem → Approach → Result. Download notebooks, watch demos, or try the live RAG app.

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Data science & notebooks

Vision

Crack Classification & Segmentation

Problem: Detect cracks and generate masks for inspection.

Approach: Otsu thresholding baseline, HOG+SVM, VGG16, and U-Net for pixel-level masks.

Result: Comparative notebook with visuals and download links.

EDA → Model

Building Data Analysis

Problem: Understand energy/usage patterns for operational decisions.

Approach: Cleaning, EDA, feature engineering, and clear visual summaries.

Result: Actionable insights and reproducible notebook.

Regression

Housing Affordability Trends

Problem: Track affordability shifts across two decades.

Approach: Data wrangling, regression with scikit-learn, and narrative visuals.

Result: Notebook with code, plots, and downloadable data view.

R

Booking Cancellation Analysis

Problem: Understand drivers of booking cancellations.

Approach: R-based EDA and modeling, highlighting temporal and feature-driven patterns.

Result: Clear visuals and notebook for reuse.

Video demos

Laravel

Hotel Booking and Management System

Stripe + Mailjet integration with room management, secure payments, and admin controls.

Flutter

Weather Application

Mobile app to track and manage weather data for selected cities.

Want a walkthrough or more details?

I can demo any project above or share implementation notes—just drop a message.