Machine Learning Specialisation

DeepLearning.AI

Completed the Machine Learning Specialization by Andrew Ng, offered by Stanford University and deeplearning.ai on Coursera. This comprehensive program covered foundational machine learning concepts, including supervised and unsupervised learning, deep learning, and practical advice for building effective ML systems. I gained hands-on experience with Python, TensorFlow, and scikit-learn, and developed a strong understanding of model training, evaluation, and deployment.

Unsupervised Learning

DeepLearning.AI

Completed the Unsupervised Learning course by Andrew Ng, offered by Stanford University and deeplearning.ai on Coursera. This course provided a comprehensive understanding of unsupervised learning techniques, including clustering (K-means, hierarchical), dimensionality reduction (PCA), and anomaly detection. I gained hands-on experience in implementing these algorithms from scratch and applying them to various datasets for pattern discovery and data compression.

Advanced Learning Algorithms

DeepLearning.AI

Completed the Advanced Learning Algorithms course by Andrew Ng, offered by Stanford University and deeplearning.ai on Coursera. This course deepened my understanding of advanced machine learning concepts, including decision trees, random forests, gradient boosting, and advanced neural network architectures. I gained practical experience in implementing complex algorithms and optimizing models for various applications.

Getting Started with Deep Learning

NVIDIA

Completed NVIDIA’s “Getting Started with Deep Learning” course, covering foundational neural network concepts and hands-on labs with GPUs. Gained practical skills in building, training, and deploying deep learning models, and am now ready to apply these techniques to real-world AI projects.

Supervised Learning

DeepLearning.AI

Completed the Supervised Learning course by Andrew Ng, offered by Stanford University and deeplearning.ai on Coursera. Built a strong foundation in machine learning principles and best practices, and implemented all key concepts from scratch to deepen my practical skills. Ready to apply this knowledge to real-world challenges.

University Topper

VSSUT, Burla

Achieved the distinction of being one of the university toppers with a CGPA of 9.82, and was honored by the university for this accomplishment during the annual college fest. Grateful for the recognition and motivated to continue striving for academic and professional excellence.

Odiaprenuer

District level winner

I won Odiaprenuer, a smart odisha hackathon in khordha region. I presented my application that uses computer vision to detect skin diseases and present a short overview about the disease. I presented the idea in IIIT Bhubaneswar infront of the judges from Google and IBM.

Google Code to Learn

Finalist

I made to the finals of Google Code to Learn. Google Code to learn provides a platform for young developers to show there programming skills to build apps and games.

Veer Surendra Sai University of Technology, Burla, Sambalpur

Bachelors Degree in Computer Science and Engineering | CGPA: 9.66

BJB Higher Secondary School, Bhubaneswar

PCM-IT : Grade: 83%