• Python, TensorFlow, NumPy, Pandas

• Focus: Machine Learning, AI, Neural Networks
• Built neural network models for prediction tasks
• Applied backpropagation and gradient descent optimization
• Designed and evaluated model performance pipelines
• Visualized results and analyzed metrics

    • Python, Scikit-learn, Pandas

• Focus: Data Analysis, Machine Learning, Predictive Modeling
• Built end-to-end financial prediction pipeline
• Applied feature engineering and statistical learning
• Performed trend analysis and forecasting
• Improved model accuracy via tuning

    • Python, Pandas, NumPy, Matplotlib

• Focus: Statistics, Experimental Design, Data Analysis
• Analyzed real-world placebo effect datasets
• Applied statistical modeling and hypothesis testing
• Built data visualization and insight pipelines
• Performed data cleaning

    • SQL (PostgreSQL)

• Designed normalized relational database schema
• Optimized SQL queries for performance (~30% improvement)
• Built KPI tracking and reporting workflows

    • Java, Clojure

• Designed modular backend service architecture
• Implemented API-driven system integration layer
• Applied distributed systems and scalable communication patterns

    • HTML, CSS, JavaScript

• Built responsive UI/UX portfolio architecture system
• Centralized projects into scalable unified showcase hub
• Designed badge-driven navigation and visual branding structure