RUTHIK REDDY CHERUKU

During Masters in Data science at lewis University i gained expertise in data analytics, machine learning, and deep learning, leveraging statistical modeling for data-driven decision-making. And developed proficiency in Python, SQL, Tableau, and Power BI to analyze complex datasets and generate actionable insights.

• I started applying supervised and unsupervised learning techniques, including NLP and neural networks, to solve real-world challenges.
• Founded and developed a university-focused ride-sharing platform, Ride.Me, addressing student transportation challenges through data-driven algorithms and a points-based rewards system.
• Strengthened skills in data visualization, predictive modeling, and process automation, optimizing business efficiency.
• Gained experience with cloud platforms and AI frameworks to enhance scalability and performance in data-driven applications.
• Developed strong problem-solving and critical thinking abilities through hands-on coursework and research.
• 3.7/4.0 GPA

Capstone Project: Leveraging Deep Learning for Pneumonia Detection in Lung Imaging

• This project mainly focuses on developing an AI-powered predictive model for pneumonia diagnosis using deep learning techniques. By leveraging CNN architectures like VGG16 and VGG19, the model analyzes chest X-ray images to detect pneumonia with high accuracy.
• Where me&my team member together worked on this project by managing a dataset of 2,659 labeled chest X-ray images, performed data cleaning, augmentation, and preprocessing for better model performance.
• We trained the model and achieved 94% accuracy, and analyzed validation loss to address overfitting issues.
• Worked on hyperparameter tuning, dropout techniques, and regularization to enhance model generalization.
• The main motive of the project is making pneumonia detection more accessible by leveraging deep learning for quick and accurate diagnostics.

Research Project 1: AI Mimicking Project

• Led an AI project focusing on language translation, sentiment analysis, mathematics, economics, and interactive conversations.
• Developed seamless Spanish-to-English translation to break down language barriers and enhance cross-cultural communication.

Research Project 2: Dynamic Sales Dashboard using Power BI

• Developed and managed a sales dashboard providing information for informed decisions based on data.
• Improved pricing techniques resulted in a 15% increase in sales, while efficient inventory management cut surplus inventory by 20%.atement

Research Project 3: Dr.ML

• Ignited personal growth by developing an advanced Al web application leveraging advanced deep learning models.
• Engineered a predictive analytics system within the application, achieving high accuracy in forecasting health conditions such as diabetes, heart disease, and skin cancer.
• Implemented cutting-edge deep learning algorithms to enhance the precision and reliability of health predictions, demonstrating a commitment to staying abreast of the latest advancements in the field.

During my bachelor's in Electronics and Communication Engineering, I developed a strong foundation in circuit design, telecommunications, and signal processing. Through hands-on projects, I gained practical experience working with microcontrollers, embedded systems, and programming languages like C and Python. My interdisciplinary approach allowed me to bridge the gap between hardware and software, enhancing my analytical and problem-solving skills. Collaborating with teams on real-world projects refined my communication and teamwork abilities. This technical background, combined with my passion for data-driven solutions, paved the way for my transition into data science, where I now leverage analytical techniques to solve complex problem

• 3.5/4 GPA