Bharat Chundru

A graduate of the Master of Science in Computer Science with a strong interest in creating sophisticated software. With three months of practical experience as a Java developer, I bring a strong foundation in the field. demonstrated capacity for success in fast-paced, team-oriented settings, coupled with a drive for innovation and a desire to take on challenging tasks. adept at using extensive Java expertise to design scalable and effective systems. While constantly seeking opportunities for continued professional development, I'm looking for ways to use my technical expertise and contribute to creative initiatives. I'm competent at working with cross-functional teams to produce excellent code on time. demonstrates a passion for contributing to creative initiatives and a dedication to continuous education.

Loan Prediction using ML

• Negotiated contracts with vendors, securing favorable terms and maintaining positive relationships
• Successfully conducted coordinated and executed a diverse range of events
• Coordinated logistics, including venue setup, catering, transportation, and audio-visual requirements.
• Led event teams, providing clear direction, managing timelines, and ensuring efficient execution

Tools used : Python, Pandas, Numpy, Matplotlib and Seaborn

Inventory Management

• Efficiently add, update, or delete products in the inventory with detailed information such as product name, category, price, and quantity
• allowing users to monitor the current quantity on hand, reorder points, and critical levels
• Facilitate the creation and processing of purchase orders, sales orders, and returns, maintaining accurate records of all transactions.
• Maintain a database of suppliers and customers, including contact information, transaction history, and preferred products

Tools used : Tools Used: Java, MySQL, HTML and CSS

Heart disease prediction using ML

• Gather a dataset containing relevant medical and lifestyle features, such as age, gender, cholesterol levels, blood pressure, and exercise habits
• Normalize or scale features to ensure uniformity in data representation
• Identify and select relevant features that contribute significantly to the prediction model
• Evaluate various classification algorithms, using Logistic Regression, Random Forest, Support Vector Machines, and Neural Networks.
• Choose the most suitable model based on performance metrics like accuracy, precision, recall, and F1 score

Tools used : R, Scikit-learn, TensorFlow, Pandas, NumPy, Matplotlib, and  Seaborn

Library Student Staff, University of Illinois

• Handled library material and equipment
• Helped Students and staff
• Served as an Advocate for the library

Event coordinator,Indian student association

• Negotiated contracts with vendors, securing favorable terms and maintaining positive relationships
• Successfully conducted coordinated and executed a diverse range of events
• Coordinated logistics, including venue setup, catering, transportation, and audio-visual requirements.
• Led event teams, providing clear direction, managing timelines, and ensuring efficient execution