Intro to Machine Learning
Learn core machine learning concepts including decision trees, random forests, and basic model validation techniques.
Full Stack Developer & AI/ML Enthusiast
๐ Welcome to my portfolio ๐ . I am a Computer Science Master's candidate at the New York Institute of Technology, with a deep focus on Artificial Intelligence and Machine Learning. Building on my foundation in Information Technology and practical experience as a Frontend Developer, I am dedicated to bridging the gap between theoretical knowledge and impactful application.
My recent work involves extensive use of Python๐ and its data science libraries, including Pandas and Scikit-learn, to analyze data and build predictive models. I am a proactive learner, having completed several Kaggle courses in Machine Learning and Pandas to continuously sharpen my skills. I am eager to apply my academic knowledge and technical abilities to solve complex problems in the tech industry.
Learn core machine learning concepts including decision trees, random forests, and basic model validation techniques.
Building, training, and deploying predictive models for regression, classification, and clustering to solve real-world problems.
Advanced techniques including missing value handling, categorical variables, pipelines, and cross-validation strategies.
Master data manipulation and analysis using Pandas for Data cleaning, Transformation, and exploratory data analysis.
Complete Android app development training covering UI design, activities, intents and databases
Foundational programming skills using Python, covering basic syntax, variables, loops, and problem-solving techniques.
Comprehensive Python fundamentals including syntax, data structures, functions, and object-oriented programming concepts.
How I Built This Portfolio - A Full-Stack Journey
Conceptualized a modern, responsive portfolio to showcase my skills and projects.
Built an interactive, mobile-responsive interface with smooth animations and modern design.
Implemented a robust Django backend with forms, database models, and admin panel.
Configured static file serving with WhiteNoise for efficient asset delivery in production.
Deployed to Google Cloud Run with Docker containerization and configured custom domain.
Configured custom domain with GoDaddy DNS, SSL certificates, and domain forwarding.
HTML5, CSS3, JavaScript, Responsive Design
Python, Django 4.2, SQLite, Django Admin
Docker, Google Cloud Run, GitHub, WhiteNoise
Git, VS Code, Gunicorn, GoDaddy DNS