Welcome to my AI & Data Science portfolio!
Here, I showcase hands-on experience in machine learning, deep learning, statistical modeling, and AI applications in robotics.
Description:
A collection of end-to-end machine learning and deep learning projects, including data preprocessing, model training, evaluation, and visualization.
Skills: Python, NumPy, Pandas, scikit-learn, TensorFlow/PyTorch, feature engineering, hyperparameter tuning.
Key Projects:
- Classification and regression models on public datasets.
- Neural network experiments exploring architectures and hyperparameters.
Description:
Statistical analysis of Life Expectancy trends across genders and countries and assessment of the potential existence of a theoretical limit to human lifespan using Extreme Value Theory (GPD).
Skills: R, R Shiny, Statistical modeling, Data visualisation, Data analysis, plotly, tidyverse.
Key Insights:
- Trends in life expectancy across countries and demographics.
- Application of Extreme Value Theory to estimate human lifespan limit.
Description:
Integration of Large Language Models with ROS2 to develop a high-level robotic task planner capable of reasoning and autonomous navigation.
Skills: Python, ROS2, Nav2, robotics planning, AI reasoning, system integration.
Key Achievements:
- Demonstrated autonomous planning capabilities guided by LLM reasoning.
- Bridges advanced AI concepts with real-world robotics applications.
- Strong foundation in machine learning, deep learning, and statistical modeling.
- Experience applying AI to real-world problems and integrating advanced LLMs with robotics.
- Capable of delivering data-driven insights, AI research, and system-level solutions.
- Continuously improving documentation, reproducibility, and presentation for professional portfolios.