Update app.py

app.py

@@ -1,127 +1,113 @@
 import streamlit as st
-import PyPDF2
-import base64
-
-# Function to display PDF
-def display_pdf(file_path):
-    try:
-        with open(file_path, 'rb') as file:
-            base64_pdf = base64.b64encode(file.read()).decode('utf-8')
-        pdf_display = f'<embed src="data:application/pdf;base64,{base64_pdf}" width="700" height="1000" type="application/pdf">'
-        st.markdown(pdf_display, unsafe_allow_html=True)
-    except Exception as e:
-        st.error(f"Error reading PDF file: {e}")
 
 # Function to display resume contents
 def display_resume():
     st.title("Ruthvik Kilaru")
 
-    st.sidebar.header("Profile Summary")
-    st.sidebar.header("Functional Skills")
-    st.sidebar.header("Technical Skills")
-    st.sidebar.header("Work Experience")
-    st.sidebar.header("Education")
-    st.sidebar.header("Research and Publications")
-    st.sidebar.header("Certifications")
-
-    st.header("Profile Summary")
-    st.write("""
-    - Detail-oriented professional with over 4 years of extensive experience in analyzing complex datasets to drive informed decision-making.
-    - Proficient in ETL processes, data warehousing, big data technologies, Hadoop, Spark, and Kafka, Python, R, SQL, machine learning frameworks such as TensorFlow and scikit-learn, statistical analysis, data visualization, and business intelligence tools.
-    - Experienced in developing and deploying data-driven solutions to solve complex business problems.
-    - Skilled in data preprocessing, feature engineering, and model optimization, with a focus on achieving high accuracy and interpretability.
-    - Experienced in natural language processing, computer vision, and time series analysis.
-    - Expert in transforming raw data into actionable insights, enabling businesses to optimize strategies and improve operational efficiency.
-    - Adept at communicating findings to stakeholders through clear, concise reports and dashboards. Passionate about leveraging data to solve problems and support strategic initiatives.
-    """)
-
-    st.header("Functional Skills")
-    st.write("""
-    - Data Analysis
-    - Data Cleaning
-    - Feature Engineering
-    - Data Visualization
-    - Data Mining
-    - Data Preprocessing
-    - SQL
-    - Business Intelligence (BI)
-    - Data Integration
-    - Statistical Analysis
-    - Data Reporting
-    - Predictive Modeling
-    - Data Preprocessing
-    - Machine Learning
-    - Model Evaluation
-    """)
-
-    st.header("Technical Skills")
-    st.write("""
-    - Programming Languages: Python, R, C, C++, HTML, CSS
-    - Big Data & Machine Learning: PowerBI, Spark, Kafka, VectorDB, SQL(t-SQL, p-SQL)
-    - Data Science and Miscellaneous Technologies: A/B testing, Jira, Shell scripting, ETL, Data science pipelines based on CI/CD, PowerBI(PQ, DAX, Slicers), Snowflake, NLP, GANs, LLMs, APIs(REST), Excel(Power Pivot, VBA, Macros), AWS(EC2, Kinesis streams, S3 buckets, Redshift), Google Analytics(BigQuery) & Ads, Langchain, Github, Docker & Kubernetes
-    """)
-
-    st.header("Work Experience")
-    st.subheader("Illinois Institute of Technology, Chicago, IL | Research & Teaching Assistant | Jan 2023 – Till Date")
-    st.write("""
-    - Directing joint research on how student behavior affects academic performance.
-    - Utilizing advanced methods for person detection, emotion recognition, and posture tracking through algorithms such as Yolo, HaarCascade, PoseNet, Openpose, and AlphaPose.
-    - Prototyping an Educational Advising Chatbot using RAG architecture with Langchain on AWS, showcasing integration of advanced AI frameworks and cloud technologies.
-    - Organizing and preparing data for RAG-based chatbot by employing web scraping tools like BeautifulSoup and Unstructured.io, effectively gathering and structuring web data.
-    - Improving chatbot’s performance by refining and prompt-tuning it with synthetic data generated through LLMs and CI workflows, applying Evol Instruct and Contrastive Learning methods to enhance metrics.
-    - Conducting instructor-led recitations, grading assignments, and addressing over 250 student queries through 30+ interactive sessions, increasing engagement.
-    - Developing a Python grading algorithm with Professor Yong Zheng, automating processes and saving 40 TA hours.
-    """)
-
-    st.subheader("Genesis Solutions, Hyderabad, India | Data Scientist | Jan 2021 – May 2022")
-    st.write("""
-    - Leveraged advanced regression techniques, including polynomial regression and ridge regression, to achieve a remarkably low Root Mean Squared Error (RMSE) of 5.27 in Stock Price Prediction Analysis.
-    - Demonstrated proficiency in accurately forecasting stock prices, as evidenced by model's performance.
-    - Achieved an R-squared value of 0.87, indicating model's robustness by explaining 87% of variability in stock prices.
-    - Implemented a sophisticated text detection system using OpenCV for image processing and PyTesseract for Optical Character Recognition (OCR).
-    - Attained impressive Precision (0.92), Recall (0.89), and F1-score (0.90) in text region identification within images.
-    - Optimized algorithm for efficiency, enabling it to process images at a speed of 15 frames per second, making it suitable for real-time applications.
-    """)
-
-    st.subheader("Vedanta Resources Pvt Ltd, Orissa, India | Data Engineer | Jul 2019 – Nov 2021")
-    st.write("""
-    - Worked on real-time data in production department to make necessary technical improvements in that area.
-    - Developed and deployed Kafka and Spark-based data pipeline(Debezium connectors, Apache hudi, STARGAZE, Hive for metadata), enhancing data throughput by 15% and reducing waste by 10% via real-time analytics of 1+ million daily data points.
-    - Enhanced SQL database for supply chain efficiency, halving query times and cutting inventory costs by 5% through improved Forecasting.
-    """)
-
-    st.header("Education")
-    st.write("""
-    - Masters in Information Technology (Data Science) from Illinois Institute of Technology, College of Computing – 2024
-    - Bachelor of Technology from National Institute of Technology, Jamshedpur, India – 2019
-    """)
-
-    st.header("Research and Publications")
-    st.write("""
-    - International Conference on Recent Trends in Computer Science and Technology (ICRTCST) – IEEE 2021
-    - Prediction of Maize Leaf Disease Using ML Models
-    - Implemented Support Vector Machine (SVM) techniques that demonstrated superior accuracy in detecting maize diseases, achieving a high accuracy rate of 95.6%. This highlights ability to effectively apply machine learning algorithms to solve real-world agricultural problems.
-    - Integrating Discrete Wavelet Transform (DWT) and YOLOv5 architecture for feature extraction and disease classification, my research contributed to a predictive model that increased precision of crop yield forecasts due to early disease detection, reflected in a sensitivity improvement of up to 92.3%.
-    """)
+    if 'section' not in st.session_state:
+        st.session_state.section = 'welcome'
 
-    st.header("Certifications")
-    st.write("""
-    - Building Transformer-Based Natural Language Processing Applications from NVIDIA – Feb 2024
-    - Generative AI with Diffusion Models from NVIDIA – Feb 2024
-    - Building LLM-Powered Applications from W&B – Jan 2024
-    - GCP - Google Cloud Professional Data Engineer from Udemy – Jan 2024
-    - Large Language Models: Application through Production from Databricks – Dec 2023
-    - Deep Learning- PadhAI from One Fourth Labs – Sep 2021
-    - Machine Learning from Stanford Online – Aug 2021
-    - Foundations in Data Science- PadhAI from One Fourth Labs – May 2021
-    """)
+    st.sidebar.button("Profile Summary", on_click=lambda: st.session_state.update({'section': 'profile_summary'}))
+    st.sidebar.button("Functional Skills", on_click=lambda: st.session_state.update({'section': 'functional_skills'}))
+    st.sidebar.button("Technical Skills", on_click=lambda: st.session_state.update({'section': 'technical_skills'}))
+    st.sidebar.button("Work Experience", on_click=lambda: st.session_state.update({'section': 'work_experience'}))
+    st.sidebar.button("Education", on_click=lambda: st.session_state.update({'section': 'education'}))
+    st.sidebar.button("Research and Publications", on_click=lambda: st.session_state.update({'section': 'research_publications'}))
+    st.sidebar.button("Certifications", on_click=lambda: st.session_state.update({'section': 'certifications'}))
 
-    st.sidebar.download_button(
-        label="Download Resume",
-        data=open("/mnt/data/Ruthvik_Resume2.pdf", "rb").read(),
-        file_name="Ruthvik_Kilaru_Resume.pdf",
-        mime="application/pdf",
-    )
+    if st.session_state.section == 'welcome':
+        st.header("Welcome")
+        st.write("Click on the buttons in the sidebar to navigate through the resume sections.")
+    elif st.session_state.section == 'profile_summary':
+        st.header("Profile Summary")
+        st.write("""
+        - Detail-oriented professional with over 4 years of extensive experience in analyzing complex datasets to drive informed decision-making.
+        - Proficient in ETL processes, data warehousing, big data technologies, Hadoop, Spark, and Kafka, Python, R, SQL, machine learning frameworks such as TensorFlow and scikit-learn, statistical analysis, data visualization, and business intelligence tools.
+        - Experienced in developing and deploying data-driven solutions to solve complex business problems.
+        - Skilled in data preprocessing, feature engineering, and model optimization, with a focus on achieving high accuracy and interpretability.
+        - Experienced in natural language processing, computer vision, and time series analysis.
+        - Expert in transforming raw data into actionable insights, enabling businesses to optimize strategies and improve operational efficiency.
+        - Adept at communicating findings to stakeholders through clear, concise reports and dashboards. Passionate about leveraging data to solve problems and support strategic initiatives.
+        """)
+    elif st.session_state.section == 'functional_skills':
+        st.header("Functional Skills")
+        st.write("""
+        - Data Analysis
+        - Data Cleaning
+        - Feature Engineering
+        - Data Visualization
+        - Data Mining
+        - Data Preprocessing
+        - SQL
+        - Business Intelligence (BI)
+        - Data Integration
+        - Statistical Analysis
+        - Data Reporting
+        - Predictive Modeling
+        - Data Preprocessing
+        - Machine Learning
+        - Model Evaluation
+        """)
+    elif st.session_state.section == 'technical_skills':
+        st.header("Technical Skills")
+        st.write("""
+        - Programming Languages: Python, R, C, C++, HTML, CSS
+        - Big Data & Machine Learning: PowerBI, Spark, Kafka, VectorDB, SQL(t-SQL, p-SQL)
+        - Data Science and Miscellaneous Technologies: A/B testing, Jira, Shell scripting, ETL, Data science pipelines based on CI/CD, PowerBI(PQ, DAX, Slicers), Snowflake, NLP, GANs, LLMs, APIs(REST), Excel(Power Pivot, VBA, Macros), AWS(EC2, Kinesis streams, S3 buckets, Redshift), Google Analytics(BigQuery) & Ads, Langchain, Github, Docker & Kubernetes
+        """)
+    elif st.session_state.section == 'work_experience':
+        st.header("Work Experience")
+        st.subheader("Illinois Institute of Technology, Chicago, IL | Research & Teaching Assistant | Jan 2023 – Till Date")
+        st.write("""
+        - Directing joint research on how student behavior affects academic performance.
+        - Utilizing advanced methods for person detection, emotion recognition, and posture tracking through algorithms such as Yolo, HaarCascade, PoseNet, Openpose, and AlphaPose.
+        - Prototyping an Educational Advising Chatbot using RAG architecture with Langchain on AWS, showcasing integration of advanced AI frameworks and cloud technologies.
+        - Organizing and preparing data for RAG-based chatbot by employing web scraping tools like BeautifulSoup and Unstructured.io, effectively gathering and structuring web data.
+        - Improving chatbot’s performance by refining and prompt-tuning it with synthetic data generated through LLMs and CI workflows, applying Evol Instruct and Contrastive Learning methods to enhance metrics.
+        - Conducting instructor-led recitations, grading assignments, and addressing over 250 student queries through 30+ interactive sessions, increasing engagement.
+        - Developing a Python grading algorithm with Professor Yong Zheng, automating processes and saving 40 TA hours.
+        """)
+        st.subheader("Genesis Solutions, Hyderabad, India | Data Scientist | Jan 2021 – May 2022")
+        st.write("""
+        - Leveraged advanced regression techniques, including polynomial regression and ridge regression, to achieve a remarkably low Root Mean Squared Error (RMSE) of 5.27 in Stock Price Prediction Analysis.
+        - Demonstrated proficiency in accurately forecasting stock prices, as evidenced by model's performance.
+        - Achieved an R-squared value of 0.87, indicating model's robustness by explaining 87% of variability in stock prices.
+        - Implemented a sophisticated text detection system using OpenCV for image processing and PyTesseract for Optical Character Recognition (OCR).
+        - Attained impressive Precision (0.92), Recall (0.89), and F1-score (0.90) in text region identification within images.
+        - Optimized algorithm for efficiency, enabling it to process images at a speed of 15 frames per second, making it suitable for real-time applications.
+        """)
+        st.subheader("Vedanta Resources Pvt Ltd, Orissa, India | Data Engineer | Jul 2019 – Nov 2021")
+        st.write("""
+        - Worked on real-time data in production department to make necessary technical improvements in that area.
+        - Developed and deployed Kafka and Spark-based data pipeline(Debezium connectors, Apache hudi, STARGAZE, Hive for metadata), enhancing data throughput by 15% and reducing waste by 10% via real-time analytics of 1+ million daily data points.
+        - Enhanced SQL database for supply chain efficiency, halving query times and cutting inventory costs by 5% through improved Forecasting.
+        """)
+    elif st.session_state.section == 'education':
+        st.header("Education")
+        st.write("""
+        - Masters in Information Technology (Data Science) from Illinois Institute of Technology, College of Computing – 2024
+        - Bachelor of Technology from National Institute of Technology, Jamshedpur, India – 2019
+        """)
+    elif st.session_state.section == 'research_publications':
+        st.header("Research and Publications")
+        st.write("""
+        - International Conference on Recent Trends in Computer Science and Technology (ICRTCST) – IEEE 2021
+        - Prediction of Maize Leaf Disease Using ML Models
+        - Implemented Support Vector Machine (SVM) techniques that demonstrated superior accuracy in detecting maize diseases, achieving a high accuracy rate of 95.6%. This highlights ability to effectively apply machine learning algorithms to solve real-world agricultural problems.
+        - Integrating Discrete Wavelet Transform (DWT) and YOLOv5 architecture for feature extraction and disease classification, my research contributed to a predictive model that increased precision of crop yield forecasts due to early disease detection, reflected in a sensitivity improvement of up to 92.3%.
+        """)
+    elif st.session_state.section == 'certifications':
+        st.header("Certifications")
+        st.write("""
+        - Building Transformer-Based Natural Language Processing Applications from NVIDIA – Feb 2024
+        - Generative AI with Diffusion Models from NVIDIA – Feb 2024
+        - Building LLM-Powered Applications from W&B – Jan 2024
+        - GCP - Google Cloud Professional Data Engineer from Udemy – Jan 2024
+        - Large Language Models: Application through Production from Databricks – Dec 2023
+        - Deep Learning- PadhAI from One Fourth Labs – Sep 2021
+        - Machine Learning from Stanford Online – Aug 2021
+        - Foundations in Data Science- PadhAI from One Fourth Labs – May 2021
+        """)
 
 if __name__ == "__main__":
     display_resume()