Aspiring AI Developer & Data Scientist
Currently building projects in Machine Learning, Deep Learning, and Data Analytics.
Skilled in Python, SQL, statistical modeling, and Custom GPT building.
Exploring NLP, Computer Vision, and Generative AI through hands-on projects.
Passionate about turning data into actionable insights and deploying real-world AI solutions.
💼 Open to internships, collaborations, and entry-level opportunities in AI & Data Science.
- Languages: Python, SQL
- Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
- Machine Learning: Scikit-Learn, XGBoost, Random Forest, Regression/Classification models
- Deep Learning: PyTorch, TensorFlow (learning in progress)
- Generative AI: Custom GPT Building, Prompt Engineering
- Statistics: Hypothesis Testing, Regression, Time Series Analysis
- Other Tools: Git, Jupyter Notebook, VS code
A machine learning model using XGBoost to predict heart disease risk.
Includes data preprocessing, model evaluation, and SHAP-based interpretation.
2️⃣ Mini Transformer
fundamentals of transformers. Includes Attention Mechanism,Multi-Head Attention,Feedforward Networks,Positional Encodings,casual mask
A SQL-based project performing data cleaning, complex queries, and business insights.
- Kaggle: (https://www.kaggle.com/balamarimuthu)
- Email: (balapathibalapathi0397@gmail.com)
⭐ "Turning data into decisions, and decisions into impact."