This repository showcases my continuous learning journey in Data Science, Artificial Intelligence, Machine Learning, and Software Development. It includes industry-recognized certifications, hands-on projects, and virtual job simulations focused on solving real-world problems.
The goal of this repository is to demonstrate my practical skills, technical knowledge, and readiness for roles in Data Science, Data Analytics, AI/ML Engineering, and Python Development.
- Data Analysis & Exploratory Data Analysis (EDA)
- Machine Learning & Model Building
- Deep Learning (CNN, Neural Networks)
- Generative AI & Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Cloud-based AI (Google Cloud, Oracle Cloud)
- Data Visualization & Insight Generation
- Problem Solving & Business Understanding
- Python
- Pandas, NumPy
- Scikit-learn
- TensorFlow / Keras
- Google Cloud (Vertex AI, Gemini)
- Oracle Cloud Infrastructure (OCI)
- Data Visualization Tools
- Machine Learning & Deep Learning Models
- Industry-level virtual job simulations
- AI and Data Science certifications
- Deep learning and machine learning projects
- Hands-on experience with real-world datasets
- Exposure to cloud-based AI tools and platforms
This repository reflects my focus on:
- Building real-world AI/ML solutions
- Understanding business problems using data
- Developing scalable and efficient models
- Applying modern AI technologies like Generative AI and RAG
I am actively seeking opportunities in:
- Data Science
- Data Analytics
- AI / Machine Learning Engineering
- Python Backend Development
I am passionate about solving real-world problems using data and AI. I continuously work on improving my technical skills, building projects, and learning industry-relevant technologies to become a strong software and data professional.
This repository is regularly updated as I continue learning and building new projects.