Ksama Arora

Projects

Oncology Breast Scanner

Tech Stack: Python, TensorFlow, Keras, DenseNet201, OpenCV, Albumentations, Google Colab

• Developed a deep learning-based breast cancer detection system using DenseNet201 to classify mammogram images into eight diagnostic categories, including benign and malignant density types.
• Implemented advanced data preprocessing techniques, such as contrast enhancement and normalization and leveraged augmented datasets for training.
• Achieved high validation accuracy by optimizing hyperparameters, automating the end-to-end workflow and validating predictions on unseen data for reliable medical analysis.
• You can find the repository here: github.com/ksamaarora/OncologyBreastScanner.

Healthcare Revenue Cycle Management

Tech Stack: Azure Data Factory, Azure Databricks, SQL, ADLS, Key Vault, Delta Lake GitHub

• Designed and implemented a robust data pipeline to optimize healthcare revenue cycle management using Azure Data Factory and Azure Databricks. Leveraged Delta Lake for efficient data storage and processing, enabling real-time insights into billing, claims and patient financial data.
• Integrated Azure Data Lake Storage (ADLS) with secure data handling using Key Vault, maintaining compliance with healthcare regulations. Utilized SQL to perform data transformations, ensuring actionable insights for decision-making, improving data processing time by 40%.
• You can find the repository here: github.com/ksamaarora/healthcare-revenue-cycle-management.

ForensiFeed

Tech Stack: React, Node.js, Vanilla JavaScript, AJAX, Python.

• Developed an automated tool for forensic investigation, capable of parsing social media feeds from platforms like Twitter, Facebook, Instagram and Telegram, reducing manual effort by 80%.
• Worked on Back-end of the website and helped my teammates with integrating the front-end interface. Created user-friendly web-based interface that allows investigators to input usernames, hashtags or keywords for automated data gathering, improving data retrieval speed by 60%.
• Integrated a web application, increasing accessibility for investigators across different platforms.
• More information and the report: github.com/ksamaarora/ForensiFeed.

Winning XI

Tech Stack: Python, Web scrapping, Pandas, Power BI Github

• Created a Power BI report to identify top 11 players for a T20 cricket team by scraping data from espncricinfo with a Brightdata website tool, cleaning and transforming the data with pandas, and evaluating various player performance metrics.
• Used the resulting Power BI dashboard to select players for various categories (openers, middle order/anchors, finishers, all-rounders, specialist fast bowlers) and ultimately choose the top 11 players to play in the match. Selected team using the Power BI dashboard has 90% of chances to win the game.
• You can find the repository here: github.com/ksamaarora/T20-worldcup-cricket-data-analysis.

Sorting Visualizer Live

• This project is a Sorting Visualizer that demonstrates the inner workings of various sorting algorithms using a visual representation. The aim is to help people understand how different sorting algorithms compare in terms of efficiency, speed, and the steps they take to sort an array of elements.

• The visualizer supports several algorithms, including Bubble, Selection, Insertion, Merge, Quick and Heap.

• You can find the repository here: github.com/ksamaarora/Sorting-Visualizer.

Tour Booking System

Tech Stack: PHP, MySQL, HTML, CSS, JavaScript.

• Designed a user-friendly interface featuring a landing page, an ”About Us” section, a ”Popular Tours” page with recommended options, and an interactive ”Book Now” form, increasing user engagement by 50%.
• Improved booking efficiency leading to a 30% increase in successful transactions.
• Focused on ensuring smooth user experience and data management through effective integration of front-end and back-end technologies. Implemented a booking form that collects and stores user details, enhancing data management and reliability.
• You can find the repository here: github.com/ksamaarora/Tour-Booking-System.

Library Management System

• This project is a Library Management System that utilizes the Binary Search Tree (BST) data structure to efficiently manage books and their quantities. The system is designed to be user-friendly, offering two main interfaces for both administrators and users.
• You can find the repository here: github.com/ksamaarora/Library-Management-System.