Tanmay Kulkarni Email & Phone Number

I am interested in machine learning and am always happy to connect! Feel free to connect with me at tanmayvkulkarni12@gmail.com.As an master's student of the Computer Science course at Indiana University Bloomington, I am looking forward to develop novel and scalable solutions for software engineering challenges, especially in the domains of artificial intelligence and web development. I have gathered a strong foundation in computer science and machine learning through my bachelor's degree from Savitribai Phule Pune University, India, and enhanced them through my various projects and certifications.I have experience in C++, Java, Python, React Native, PyTorch, SQL, and other languages and frameworks through my various projects and am passionate about learning new skills in the field of Artificial Intelligence, computer vision, and cloud computing and applying them to real-world problems.Skills:Programming Languages: Python, C, C++, Java, JavaScript, TypeScript, HTML, CSS, Bash, Shell, Kotlin, GLSLDatabases: MongoDB, MySQLOperating Systems: Linux, WindowsFrameworks: TensorFlow, Keras, PyTorch, Node.JS, ExpressJS, React Native, ReactJS, Matplotlib, NumPy, Pandas, NLTK, AndroidSDK, GLEW, GLFW, Scikit-LearnCertifications: - Coursera: Machine Learning Specialization, Deep Learning Specialization- Udemy: Web Development Bootcamp 2023- AWS Academy: Machine Learning Foundations, Cloud FoundationsIDEs and Tools: Visual Studio Code, IntelliJ Idea, Android Studio, Microsoft Office Suite (Excel, Word, PowerPoint), Google Workspace Suite (Docs, Sheets, Drive), Visual Studio, REST API, Maven, Gradle, CMake, Git, Docker, Jupyter Notebook

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  Machine Learning Engineering Intern | Python, Jupyter Notebook

  Ybi Foundation

  Feb 2023 - May 2023 - Pune, Maharashtra, India

  Developed a machine learning model using multiple strategies for an internal dataset.Optimized the machine learning model from 64% to 95% accuracy.Used Python on Jupyter Notebook for model development.Utilized regression models and decision trees to find the best strategy for the dataset, and optimized the best among them for the final model.