Tarak Reddy Mallidi

A highly motivated and detail-oriented B.Tech graduate in Computer Science Engineering. Demonstrates strong problem-solving skills, effective communication, and a collaborative approach to teamwork. Proven ability to learn new technologies quickly and apply them effectively in real-world projects. Committed to continuous learning and eager to contribute to innovative solutions in a dynamic and challenging environment.

Object Oriented Programming and design, Computer Networks, DBMS, Formal Language and Automata, Computer Architecture, ISM, Compiler Design, Data mining, NLP, DSA

THE EARLY DETECTION OF MEMORY LOSS DISEASE USING MACHINE LEARNING APPROACH

Machine learning in dementia diagnosis transforms understanding, diagnosis, and management, promoting early detection and improving lives by leveraging data-driven technologies for accurate, timely interventions.

Weather prediction Using Machine Learning

A machine learning weather prediction project analyzes historical weather data to build models that forecast future conditions, enhancing accuracy and enabling timely responses to weather changes.

Hospital Management System

A Hospital Management System automates administrative tasks like patient registration, appointments, billing, and inventory, enhancing workflow efficiency and highlighting its critical role in modern healthcare.

Biometrics in Defense Services

Biometrics, used daily for fingerprint and facial recognition, also combats military anonymity with tools like voice recognition, highlighting benefits of smartcards and the need for improved processing efficiency.

Mini Compiler Using C++

This project aims to create a mini compiler using C++. The compiler will take in source code written in a custom language, tokenize it, parse it, and generate machine code for the target platform.

AWS academy

Business Development Trainee - Aaruush

My role involves conducting market research, generating leads, supporting client engagement, preparing proposals, and assisting in business growth initiatives.

The Early Detection of Dementia Disease using Machine Learning

I have written a research paper on The Early Detection of Dementia Disease using Machine Learning and gave a presentation at the 7th International Conference on Inventive Computation Technologies (ICICT 2024), held at Tribhuvan University, Nepal, during April 24-26, 2024.