SaiSandeep Dodda

Highly motivated and detail-oriented Master's student in Computer Science with a strong foundation in data analysis, statistical methods, and programming. Experienced in working with large datasets, performing exploratory data analysis (EDA), and building interactive data visualizations using tools such as Python (Pandas, NumPy, Matplotlib), SQL, and React. Adept at utilizing statistical techniques and machine learning models to extract meaningful insights and support data-driven decision-making. Proficient in backend development with Node.js for creating APIs that integrate seamlessly with front-end applications. Passionate about leveraging analytical skills to solve complex problems and contribute to impactful data-driven solutions. Looking for an internship opportunity to apply my technical expertise, business acumen, and collaborative mindset in a dynamic environment.

Review Flicks - Movie Review Website

• Developed Review Flicks, a movie review platform using Node.js for the backend, React for the front-end, and MongoDB for data storage. Integrated Socket.io for real-time chat, allowing users to share reviews and discuss movies live.

Rainfall Prediction Using Machine Learning

• Developed a Rainfall Prediction model using machine learning techniques (e.g., linear regression, decision trees) to predict rainfall patterns based on historical weather data. Utilized Python, Scikit-learn, and Pandas for data analysis, feature engineering, and model training, achieving accurate rainfall forecasts.

Intelligent Chatbot Application

• Developed an Intelligent Chabot using TypeScript for front-end logic and MySQL for database management, enabling efficient conversation flow and user interaction. Integrated additional software tools for natural language processing and real-time message handling, providing a seamless user experience.