š Hi, Iām Kinjalk Parth
š I'm deeply passionate about harnessing the power of data to drive innovation and decision-making. With a solid foundation in computer science and engineering, my expertise spans across Data Engineering, Data Visualization, and Data Science. I thrive in roles that challenge me to leverage these skills to uncover insights and create impactful solutions.
š I'm currently enhancing my skills in Machine Learning and Data Analysis while pursuing a Master's degree in Computer Science at the University of Illinois at Urbana-Champaign. My academic and professional journey has been marked by a commitment to applying data science in practical, impactful ways, such as improving fraud detection mechanisms and creating dynamic data-driven applications.
š„ I am keen on collaborating on projects that leverage data science and machine learning to solve real-world problems or to extract meaningful insights from complex datasets. I'm dedicated to contributing to projects that drive significant impact, whether through innovative algorithms, effective data visualizations, or robust data engineering practices.
š” I'm proficient in a range of technologies, including Python, MySQL, C, C++, Dart, and various data science libraries and frameworks like PyTorch, TensorFlow, Scikit-Learn, Pandas, and more. My experience extends to working with platforms like Google Cloud, Azure, and AWS, which enables me to build scalable and efficient data solutions.
š« Interested in discussing data science, collaborating on a project, or just connecting? You can reach me via email at [email protected] or find me on LinkedIn and GitHub.