Hello, I'm @KarthikeyatheDev 👋
About Me
I'm a passionate and aspiring AI/ML enthusiast dedicated to exploring and building intelligent systems. My journey in technology is driven by a deep curiosity about how artificial intelligence can solve real-world problems and enhance human capabilities.
Interests 👀
I'm particularly interested in Artificial Intelligence (AI) and Machine Learning (ML), with a keen eye on their practical applications and future advancements.
Current Learning 🌱
I'm currently expanding my expertise by diving deep into the fascinating world of Computer Vision, exploring techniques for image processing, object detection, and neural network architectures.
Collaboration & Networking 💞️
I'm actively looking for opportunities to collaborate on innovative AI/ML projects. Feel free to connect with me on LinkedIn or explore internship opportunities via Internshala.
Reach Me
📫 You can reach me directly via:
Email: mkarthikeya122@gmail.com
Phone: +91-9392745443
Pronouns
😄 He/Him
My Projects & Portfolio Here's a glimpse into some of my work:
🌐 Website Project I have developed a web project that demonstrates my skills in "building responsive user interfaces" "creating interactive web applications". This project highlights my proficiency in HTML, CSS, JavaScript and React.
https://github.com/KarthikeyatheDev/Recom-Website
🧠 Machine Learning Notebooks (x2) My repositories also contain three distinct Machine Learning notebooks. These projects showcase my abilities in:
Mental-Health-Classification: "Exploratory Data Analysis" , "Data Cleaning" and "Supervised Learning - Classification"
https://github.com/KarthikeyatheDev/Mental-Health-Classification
House-Price-Prediction: "Implementing and Evaluating a Regression Model on a Real-World Dataset"
https://github.com/KarthikeyatheDev/House-price-prediction
Each notebook provides detailed explanations, code implementations, and analysis of the results.
Skills
Programming Languages: Python, Java, C, C++, Machine Learning, AI, Computer Vision, Deep Learning, Neural Networks etc.
Machine Learning Libraries: scikit-learn, TensorFlow, Keras, PyTorch, NumPy, Pandas, Matplotlib, Seaborn
Web Technologies: HTML, CSS, JavaScript, React
Tools & Platforms: Git, GitHub, Jupyter Notebooks, Google Colab