Update app.py

app.py

@@ -272,103 +272,183 @@ def display_projects():
         - **Reference**: [Link to Project](https://github.com/niharpalem/squateasy_DL)
         """)
 def display_skills():
-    st.markdown('## Skills')
+    st.title('Skills')
+    
+    # Define tab titles
+    tab_titles = [
+        "Programming & Core",
+        "AI & ML",
+        "Data Engineering",
+        "Data Architecture",
+        "Visualization",
+        "Specialized Systems"
+    ]
+    
+    # Create tabs
+    tabs = st.tabs(tab_titles)
     
     # Programming & Core Technologies
-    st.markdown("### 💻 Programming & Core Technologies")
-    st.markdown("""
-    - **Programming Languages**: Python (Advanced), SQL (Advanced)
-    - **Database Systems**: 
-        - Relational: MySQL, PostgreSQL
-        - NoSQL: MongoDB
-        - Data Warehouses: Snowflake, Redshift
-    - **Version Control**: Git, GitHub
-    - **Development Tools**: Docker, Microsoft Office Suite (Excel, Word, PowerPoint)
-    """)
+    with tabs[0]:
+        st.header("Programming & Core Technologies")
+        st.markdown("""
+        - **Programming Languages**:
+            • Python (Advanced)
+            • SQL (Advanced)
+            • Shell Scripting
+            
+        - **Database Systems**: 
+            • Relational: MySQL, PostgreSQL
+            • NoSQL: MongoDB
+            • Data Warehouses: Snowflake, Redshift
+            
+        - **Development Tools**:
+            • Version Control: Git, GitHub
+            • Containerization: Docker
+            • IDE: VS Code, PyCharm
+            • Microsoft Office Suite
+        """)
     
     # AI & Machine Learning
-    st.markdown("### 🤖 AI & Machine Learning")
-    st.markdown("""
-    - **Machine Learning Frameworks**: 
-        - PyTorch, TensorFlow, Scikit-Learn
-        - XGBoost, Random Forest, AdaBoost
-    - **Deep Learning**: 
-        - Vision Transformers, ResNet Architectures
-        - Neural Networks, BiLSTM
-    - **LLM & NLP**: 
-        - LLaMA-3 (70B/8B), GPT-3.5
-        - Sentence Transformers
-        - Advanced Prompt Engineering
-        - Multi-agent Architectures
-    - **Computer Vision**: 
-        - MediaPipe
-        - Image Processing
-    """)
+    with tabs[1]:
+        st.header("AI & Machine Learning")
+        st.markdown("""
+        - **Machine Learning Frameworks**: 
+            • PyTorch
+            • TensorFlow
+            • Scikit-Learn
+            • XGBoost, Random Forest, AdaBoost
+            
+        - **Deep Learning**: 
+            • Vision Transformers
+            • ResNet Architectures
+            • Neural Networks
+            • BiLSTM
+            
+        - **LLM & NLP**: 
+            • LLaMA-3 (70B/8B)
+            • GPT-3.5
+            • Sentence Transformers
+            • Advanced Prompt Engineering
+            • Multi-agent Architectures
+            
+        - **Computer Vision**: 
+            • MediaPipe
+            • OpenCV
+            • Image Processing Pipelines
+        """)
     
     # Data Engineering & Cloud
-    st.markdown("### ☁️ Data Engineering & Cloud")
-    st.markdown("""
-    - **Cloud Platforms**: 
-        - AWS (Certified)
-        - Google Cloud Platform (GCP)
-    - **Big Data Technologies**: 
-        - Apache Spark (PySpark)
-        - Apache Airflow
-        - BigQuery
-    - **Data Pipeline Tools**: 
-        - ETL/ELT Pipeline Design
-        - Workflow Orchestration
-        - Concurrent Processing
-    """)
+    with tabs[2]:
+        st.header("Data Engineering & Cloud")
+        st.markdown("""
+        - **Cloud Platforms**: 
+            • AWS (Certified)
+            • Google Cloud Platform (GCP)
+            • Cloud Architecture Design
+            
+        - **Big Data Technologies**: 
+            • Apache Spark (PySpark)
+            • Apache Airflow
+            • BigQuery
+            • Hadoop Ecosystem
+            
+        - **Data Pipeline Tools**: 
+            • ETL/ELT Pipeline Design
+            • Workflow Orchestration
+            • Concurrent Processing
+            • Real-time Data Streaming
+            
+        - **Infrastructure**:
+            • CI/CD Pipelines
+            • Infrastructure as Code
+            • Kubernetes Basics
+        """)
     
     # Data Architecture & Analytics
-    st.markdown("### 📊 Data Architecture & Analytics")
-    st.markdown("""
-    - **Data Modeling**: 
-        - OLAP/OLTP Systems
-        - Star/Snowflake Schema
-        - Data Normalization
-    - **Analytics Techniques**:
-        - Streaming Analytics
-        - Batch Processing
-        - Time Series Analysis
-    - **Data Processing**: 
-        - Pandas, NumPy
-        - Data Wrangling
-        - Feature Engineering
-    """)
+    with tabs[3]:
+        st.header("Data Architecture & Analytics")
+        st.markdown("""
+        - **Data Modeling**: 
+            • OLAP/OLTP Systems
+            • Star/Snowflake Schema
+            • Data Normalization
+            • Database Optimization
+            
+        - **Analytics Techniques**:
+            • Streaming Analytics
+            • Batch Processing
+            • Time Series Analysis
+            • Statistical Analysis
+            
+        - **Data Processing**: 
+            • Pandas, NumPy
+            • Data Wrangling
+            • Feature Engineering
+            • Data Quality Assurance
+            
+        - **Performance Optimization**:
+            • Query Optimization
+            • Indexing Strategies
+            • Caching Mechanisms
+        """)
     
     # Visualization & Deployment
-    st.markdown("### 📈 Visualization & Deployment")
-    st.markdown("""
-    - **Visualization Tools**: 
-        - Tableau
-        - Power BI
-        - Plotly, Seaborn, Matplotlib
-    - **Deployment & Interface**: 
-        - Streamlit
-        - Flask
-        - Web Application Development
-    - **Collaboration Tools**: 
-        - JIRA
-        - Notion
-        - Project Management Tools
-    """)
+    with tabs[4]:
+        st.header("Visualization & Tools")
+        st.markdown("""
+        - **Business Intelligence**: 
+            • Tableau
+            • Power BI
+            • Dashboard Design
+            • KPI Monitoring
+            
+        - **Technical Visualization**: 
+            • Plotly
+            • Seaborn
+            • Matplotlib
+            • Interactive Charts
+            
+        - **Deployment & Interface**: 
+            • Streamlit
+            • Flask
+            • Web Development
+            • API Design
+            
+        - **Collaboration Tools**: 
+            • JIRA
+            • Notion
+            • Git Workflow
+            • Agile Methodologies
+        """)
     
     # Specialized Systems
-    st.markdown("### 🔧 Specialized Systems")
-    st.markdown("""
-    - **Recommender Systems**: 
-        - Hybrid Filtering (TF-IDF + Collaborative)
-        - Matrix Factorization (SVD)
-    - **Ensemble Methods**: 
-        - Multi-model Consensus Systems
-        - Classifier Combinations
-    - **Performance Optimization**: 
-        - CUDA Acceleration
-        - Parallel Processing
-        - Resource Management
-    """)
+    with tabs[5]:
+        st.header("Specialized Systems")
+        st.markdown("""
+        - **Recommender Systems**: 
+            • Hybrid Filtering Techniques
+            • Content-Based Filtering
+            • Collaborative Filtering
+            • Matrix Factorization (SVD)
+            
+        - **Ensemble Methods**: 
+            • Multi-model Consensus Systems
+            • Classifier Combinations
+            • Voting Systems
+            • Stacking Implementations
+            
+        - **Performance Optimization**: 
+            • CUDA Acceleration
+            • Parallel Processing
+            • Resource Management
+            • Scalability Design
+            
+        - **Custom Solutions**:
+            • Natural Language Processing
+            • Computer Vision Systems
+            • Time Series Forecasting
+            • Anomaly Detection
+        """)
 def display_apps():
     st.markdown('## Apps')
     st.markdown("""