Update app.py

app.py

@@ -69,9 +69,6 @@ def display_work_experience():
     - Find my work on [Medium](https://medium.com/@nihar-palem) and [Substack](https://niharpalem.substack.com/publish/posts).
     """)
 
-
-import streamlit as st
-
 def display_projects():
     st.title('My Projects')
 
@@ -276,18 +273,102 @@ def display_projects():
         """)
 def display_skills():
     st.markdown('## Skills')
-    st.write("""
-- **Programming Languages**: Python, SQL
-- **Data Processing/Wrangling**: pandas, NumPy
-- **Data Visualization**: Matplotlib, Seaborn, Plotly, Tableau, Power BI
-- **Machine Learning/Deep Learning**: scikit-learn, TensorFlow, Keras, LLM, Prompt Engineering
-- **Model Deployment**: Streamlit
-- **Cloud Platforms**: AWS, Google Cloud Platform (GCP)
-- **Big Data Technologies**: Apache Spark, Hadoop
-- **Databases**: MySQL, PostgreSQL, MongoDB
-- **Version Control**: Git, GitHub
-- **Collaboration Tools**: JIRA, Notion
-""")
+    
+    # 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)
+    """)
+    
+    # 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
+    """)
+    
+    # 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
+    """)
+    
+    # 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
+    """)
+    
+    # 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
+    """)
+    
+    # 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
+    """)
 def display_apps():
     st.markdown('## Apps')
     st.markdown("""