Rohan Pokhrel

I am an aspiring Machine Learning Developer with a strong passion for solving real-world problems through data-driven approaches. My hands-on experience in machine learning, natural language processing (NLP), and predictive analytics has equipped me with the skills necessary to tackle complex challenges. I have a solid background in backend development using Node.js and mobile app development with Flutter, which allows me to create robust applications that leverage machine learning capabilities.

Throughout my journey, I have successfully completed various projects, including an MNIST Classifier for handwritten digit recognition and a Customer Segmentation model using K-Means clustering. My work on a Mental Health Assistant involved utilizing KNN, Naïve Bayes, Random Forest, and Logistic Regression to predict mental health outcomes. Additionally, I have developed an NLP model for sentiment analysis and a facial emotion recognition system using convolutional neural networks (CNN). These experiences have honed my technical skills and deepened my understanding of machine learning frameworks and tools.