Anoushka Rakheja

B.Tech student in Computers & Communication Engineering with a strong interest in AI/ML. I enjoy transforming algorithms into practical models—whether it’s predicting heart disease or debugging complex code. Proficient in C++, Python, and ML frameworks, I thrive on solving problems that sit at the intersection of theory and real-world application. Always curious, I aim to bring fresh ideas and intelligent solutions to the evolving world of AI.

Design and Analysis of Algorithms - NPTEL

CCNAv7: Introduction to Networks - Cisco

CCNAv7: Switching, Routing, and Wireless Essentials - Cisco

Object Oriented Programming in Java - University of California San Diego (coursera)

Database Foundations - Oracle Academy

VS Code | Google Colab | LeetCode | GitHub | MySql | Cisco Packet Tracker | ChatGPT | Microsoft Office | 

I) Stock Price Prediction Using LSTM Networks

Developed an advanced predictive model utilizing Long Short-Term Memory (LSTM) networks to forecast the closing stock price of Apple Inc.(AAPL).

The project highlights the practical application of machine learning in financial market analysis and aims to provide valuable insights for investment strategies.

II) Heart Disease Prediction

Developed a machine learning model to predict heart disease using patient health data. Applied preprocessing, feature selection, and algorithms like Logistic Regression and Random Forest to achieve accurate classification results.

III) Adoption Of Blockchain Technology In Indian Public Distribution System

It is a concept paper where we propose a solution to manage and track efficiently the process public distribution, within the PDS with technology enhancement using Blockchain.

The findings in the supply chain structure of the public distribution system in terms of tracking in transportation and trade booking with robust solutions for verification and traceability.

Linkedin: www.linkedin.com/in/anoushka-rakheja

Leetcode: leetcode.com/anoushka20

Github: github.com/anoushka-r