Sriniketh Jayasendil is a data science and machine learning enthusiast currently pursuing a B.E. in Electronics and Communication Engineering at PSG Institute of Technology with about five years of practical experience through internships, open-source contributions, and campus leadership roles. He actively contributes to large collaborative projects like GirlScript Winter of Contributing, where he built an Iris classifier, and has implemented practical ML models such as an MNIST digit recognizer using TensorFlow/Keras. A lifelong learner who writes technical blogs and competes in hackathons, he pairs hands-on model development with community-driven open-source work. Beyond ML, he’s exploring deep learning research directions and beginning web development, while balancing campus ambassadorships and extracurriculars like football and learning German.
5 years of coding experience
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH
High School Diploma, Computer Science, A overall, High School Diploma, Computer Science, A overall at Emerald Valley Public School
ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!🌟💫 Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
Role in this project:
Data Scientist
Contributions:14 commits, 5 PRs, 17 comments in 5 months
Contributions summary:Sriniketh implemented a digit recognizer project within the repository. This involved importing and utilizing libraries like NumPy, Pandas, Matplotlib, Seaborn, and Keras to preprocess the MNIST dataset. The user then developed a model using TensorFlow and Keras to classify different digits and predict accordingly, indicating a focus on machine learning model building.
GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by🧡GirlScript Foundation to create the world's largest multilingual content repository that will be available to everyone.
Role in this project:
Data Scientist
Contributions:1 review, 85 commits, 8 PRs in 2 months
Contributions summary:Sriniketh's commits demonstrate the development of an Iris flower classification project using Python. The project focuses on applying various machine learning algorithms such as Logistic Regression, K-Nearest Neighbors, and Decision Trees to classify the Iris dataset. The user imports and preprocesses the data, then trains and evaluates the models, showcasing a solid understanding of the machine learning workflow.
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Sriniketh Jayasendil - GWOC Contributor at LetsGrowMore