Shivaprasad Thangallapelli

Developed a comprehensive ATM Machine Simulator with essential banking functionalities, including:

• Account Balance Inquiry – Allows users to view their current account balance.
• Cash Withdrawal – Enables secure withdrawal of funds with proper balance checks.
• Cash Deposit – Facilitates adding funds to the account and updates balance in real-time.
• PIN Change – Allows users to update their PIN securely after verifying identity.
• Transaction History – Maintains and displays a log of all recent transactions for transparency.

The simulator was built using Object-Oriented Programming (OOP) principles such as encapsulation, inheritance, and abstraction to structure the system effectively. Additionally, conditional statements and control flow logic were applied to handle user inputs, error validations, and transaction outcomes.

This project demonstrates strong foundational knowledge in programming logic and object-oriented design, simulating a real-world ATM experience in a controlled software environment.

During my internship, I developed two web development projects using HTML, CSS, and JavaScript:

These projects enhanced my understanding of front-end development and strengthened my skills in building structured, responsive, and interactive websites from scratch.

During this internship, I developed a machine learning model to predict employee burnout using critical workplace factors such as gender, company type, WFH availability, designation, resource allocation, and mental fatigue score. The project involved essential data preprocessing steps like label encoding, feature selection, and Principal Component Analysis (PCA). I implemented the model using Random Forest Regressor, a robust supervised learning algorithm, and further enhanced it by experimenting with models like Linear Regression and Decision Tree. The final model achieved accurate predictions and offers valuable insights to help companies identify and mitigate burnout risks. The entire solution was built using the Python programming language with libraries such as pandas, scikit-learn, and matplotlib.