Update app.py

app.py

@@ -1,21 +1,127 @@
 import streamlit as st
-import fitz  # PyMuPDF
+import PyPDF2
+import base64
 
-st.title("Resume Display Application")
+# 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}")
 
-# Path to your PDF resume
-pdf_path = 'Ruthvik-Resume.pdf'
+# Function to display resume contents
+def display_resume():
+    st.title("Ruthvik Kilaru")
 
-# Display PDF in Streamlit
-with open(pdf_path, 'rb') as file:
-    pdf_data = file.read()
+    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.subheader("Uploaded Resume")
-st.download_button(label="Download Resume", data=pdf_data, file_name="resume.pdf")
+    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.
+    """)
 
-# Read and display the PDF content
-doc = fitz.open(pdf_path)
-for page_num in range(len(doc)):
-    page = doc.load_page(page_num)
-    page_text = page.get_text()
-    st.text(page_text)
+    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%.
+    """)
+
+    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.download_button(
+        label="Download Resume",
+        data=open("path/to/your/resume.pdf", "rb").read(),
+        file_name="Ruthvik_Kilaru_Resume.pdf",
+        mime="application/pdf",
+    )
+
+if __name__ == "__main__":
+    display_resume()