Update app.py

app.py

@@ -42,10 +42,6 @@ def display_education():
       - Courses: Data Mining, Deep Learning, Big Data Technologies, Data Visualization, Machine Learning, Database Management Systems
       - Achievements: 
         - A Grade in Deep Learning
-        - Instructional Student Assistant (ISA)
-          - Mentored 80+ students on technical aspects of data modeling projects, guiding them through comprehensive project report writing and adhering to proper grading formats.
-          - Reviewed and provided feedback on data pipeline demonstrations, ensuring quality and best practices, while offering expert advice on resolving complex technical issues related to data analysis and machine learning models.
-    
     - **Bachelor of Technology (B.Tech) in Electrical and Electronics Engineering (EEE)**, *Sreenidhi Institute of Science and Technology (SNIST)*, Hyderabad (2015-2019)
       - Activities: 
         - Memeber of the Robotics Club:, built line follower and theft-alert detection bots.
@@ -54,14 +50,20 @@ def display_education():
 def display_work_experience():
     st.markdown('## Work Experience')
     st.write("""
-    **Bharat Electronics Limited, Hyderabad**
+    **San Jose State University, San Jose, CA, USA**
+    August 2024 - December 2024
+    - **Teaching Assistant**
+    - Mentored 80+ graduate students on data modeling projects, providing feedback on technical documentation
+    - Reviewed and debugged student data pipelines, offering solutions for data analysis and ML model challenges
+    - Improved student performance, with 75% of mentored students achieving an ’A’ grade
+    -Conducted weekly office hours to assist students with complex data science concepts and project implementations
+    **Bharat Electronics Limited, Hyderabad, India**
     February 2021 - March 2022
     - **Data Analyst**
-      - Optimized complex SQL queries for multi-million row datasets, boosting performance by 40% and accelerating reporting capabilities.
-      - Engineered robust Python scripts with Pandas for large-scale data extraction and analysis from SQL Server.
-      - Designed and implemented interactive dashboards using Matplotlib and Seaborn, delivering real-time insights into key business indicators and financial metrics, enhancing strategic decision-making and streamlining centralized government reporting.
-      - Automated monthly processes and improved data quality by implementing SQL stored procedures and triggers, resulting in a 30% reduction in data entry errors and a 40% decrease in routine reporting time.
-
+      - Optimized SQL queries for sales and payroll databases using indexes and CTEs, reducing execution times by 40%
+      - Developed and maintained 20+ Tableau dashboards, reducing production costs by 15% and improving sales forecasts by 10%
+      - Implemented automated billing checks using SQL procedures, reducing financial discrepancies by 30%
+      - Optimized ETL pipelines with staging tables and data quality checks, increasing ingestion efficiency by 25%
     **Technical Writer**
     2023-Present
     - Embarked on a new journey in 2023 as a technical writer, sharing insights and developments in data science and data engineering with a growing audience.
@@ -91,20 +93,20 @@ def display_skills():
         st.subheader("Programming & Core Technologies")
         st.markdown("""
         - **Programming Languages**:
-            • Python (Advanced)
-            • SQL (Advanced)
-            • Shell Scripting
+            - Python (Advanced)
+            - SQL (Advanced)
+            - Shell Scripting
             
         - **Database Systems**: 
-            • Relational: MySQL, PostgreSQL
-            • NoSQL: MongoDB
-            • Data Warehouses: Snowflake, Redshift
+            - Relational: MySQL, PostgreSQL
+            - NoSQL: MongoDB
+            - Data Warehouses: Snowflake, Redshift
             
         - **Development Tools**:
-            • Version Control: Git, GitHub
-            • Containerization: Docker
-            • IDE: VS Code, PyCharm
-            • Microsoft Office Suite
+            - Version Control: Git, GitHub
+            - Containerization: Docker
+            - IDE: VS Code, PyCharm
+            - Microsoft Office Suite
         """)
     
     # AI & Machine Learning
@@ -112,28 +114,28 @@ def display_skills():
         st.subheader("AI & Machine Learning")
         st.markdown("""
         - **Machine Learning Frameworks**: 
-            • PyTorch
-            • TensorFlow
-            • Scikit-Learn
-            • XGBoost, Random Forest, AdaBoost
+            - PyTorch
+            - TensorFlow
+            - Scikit-Learn
+            - XGBoost, Random Forest, AdaBoost
             
         - **Deep Learning**: 
-            • Vision Transformers
-            • ResNet Architectures
-            • Neural Networks
-            • BiLSTM
+            - Vision Transformers
+            - ResNet Architectures
+            - Neural Networks
+            - BiLSTM
             
         - **LLM & NLP**: 
-            • LLaMA-3 (70B/8B)
-            • GPT-3.5
-            • Sentence Transformers
-            • Advanced Prompt Engineering
-            • Multi-agent Architectures
+            - LLaMA-3 (70B/8B)
+            - GPT-3.5
+            - Sentence Transformers
+            - Advanced Prompt Engineering
+            - Multi-agent Architectures
             
         - **Computer Vision**: 
-            • MediaPipe
-            • OpenCV
-            • Image Processing Pipelines
+            - MediaPipe
+            - OpenCV
+            - Image Processing Pipelines
         """)
     
     # Data Engineering & Cloud
@@ -141,26 +143,26 @@ def display_skills():
         st.subheader("Data Engineering & Cloud")
         st.markdown("""
         - **Cloud Platforms**: 
-            • AWS (Certified)
-            • Google Cloud Platform (GCP)
-            • Cloud Architecture Design
+            - AWS (Certified)
+            - Google Cloud Platform (GCP)
+            - Cloud Architecture Design
             
         - **Big Data Technologies**: 
-            • Apache Spark (PySpark)
-            • Apache Airflow
-            • BigQuery
-            • Hadoop Ecosystem
+            - Apache Spark (PySpark)
+            - Apache Airflow
+            - BigQuery
+            - Hadoop Ecosystem
             
         - **Data Pipeline Tools**: 
-            • ETL/ELT Pipeline Design
-            • Workflow Orchestration
-            • Concurrent Processing
-            • Real-time Data Streaming
+            - ETL/ELT Pipeline Design
+            - Workflow Orchestration
+            - Concurrent Processing
+            - Real-time Data Streaming
             
         - **Infrastructure**:
-            • CI/CD Pipelines
-            • Infrastructure as Code
-            • Kubernetes Basics
+            - CI/CD Pipelines
+            - Infrastructure as Code
+            -Kubernetes Basics
         """)
     
     # Data Architecture & Analytics
@@ -168,27 +170,27 @@ def display_skills():
         st.subheader("Data Architecture & Analytics")
         st.markdown("""
         - **Data Modeling**: 
-            • OLAP/OLTP Systems
-            • Star/Snowflake Schema
-            • Data Normalization
-            • Database Optimization
+            - OLAP/OLTP Systems
+            - Star/Snowflake Schema
+            - Data Normalization
+            - Database Optimization
             
         - **Analytics Techniques**:
-            • Streaming Analytics
-            • Batch Processing
-            • Time Series Analysis
-            • Statistical Analysis
+            - Streaming Analytics
+            - Batch Processing
+            - Time Series Analysis
+            - Statistical Analysis
             
         - **Data Processing**: 
-            • Pandas, NumPy
-            • Data Wrangling
-            • Feature Engineering
-            • Data Quality Assurance
+            - Pandas, NumPy
+            - Data Wrangling
+            - Feature Engineering
+            - Data Quality Assurance
             
         - **Performance Optimization**:
-            • Query Optimization
-            • Indexing Strategies
-            • Caching Mechanisms
+            - Query Optimization
+            - Indexing Strategies
+            - Caching Mechanisms
         """)
     
     # Visualization & Deployment
@@ -196,28 +198,27 @@ def display_skills():
         st.subheader("Visualization & Tools")
         st.markdown("""
         - **Business Intelligence**: 
-            • Tableau
-            • Power BI
-            • Dashboard Design
-            • KPI Monitoring
+            - Tableau
+            - Power BI
+            - Dashboard Design
+            - KPI Monitoring
             
         - **Technical Visualization**: 
-            • Plotly
-            • Seaborn
-            • Matplotlib
-            • Interactive Charts
+            - Plotly
+            - Seaborn
+            - Matplotlib
+            - Interactive Charts
             
         - **Deployment & Interface**: 
-            • Streamlit
-            • Flask
-            • Web Development
-            • API Design
+            - Streamlit
+            - Flask
+            - Web Development
             
         - **Collaboration Tools**: 
-            • JIRA
-            • Notion
-            • Git Workflow
-            • Agile Methodologies
+            - JIRA
+            - Notion
+            - Git Workflow
+            - Agile Methodologies
         """)
     
     # Specialized Systems
@@ -225,28 +226,28 @@ def display_skills():
         st.subheader("Specialized Systems")
         st.markdown("""
         - **Recommender Systems**: 
-            • Hybrid Filtering Techniques
-            • Content-Based Filtering
-            • Collaborative Filtering
-            • Matrix Factorization (SVD)
+            - Hybrid Filtering Techniques
+            - Content-Based Filtering
+            - Collaborative Filtering
+            - Matrix Factorization (SVD)
             
         - **Ensemble Methods**: 
-            • Multi-model Consensus Systems
-            • Classifier Combinations
-            • Voting Systems
-            • Stacking Implementations
+            - Multi-model Consensus Systems
+            - Classifier Combinations
+            - Voting Systems
+            - Stacking Implementations
             
         - **Performance Optimization**: 
-            • CUDA Acceleration
-            • Parallel Processing
-            • Resource Management
-            • Scalability Design
+            - CUDA Acceleration
+            - Parallel Processing
+            - Resource Management
+            - Scalability Design
             
         - **Custom Solutions**:
-            • Natural Language Processing
-            • Computer Vision Systems
-            • Time Series Forecasting
-            • Anomaly Detection
+            - Natural Language Processing
+            - Computer Vision Systems
+            - Time Series Forecasting
+            - Anomaly Detection
         """)