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import streamlit as st | |
from annotated_text import annotated_text | |
# Header | |
st.title("Gourav Gujariya's Portfolio") | |
# st.markdown(" π Hello, I'm GOURAV GUJARIYA, and I'm more than just a name. I'm a passionate data science enthusiast with a burning desire to create real-life impact through innovation. π") | |
# st.markdown("π€ With a solid foundation in machine learning (ML) and deep learning (DL), I thrive on challenges that push the boundaries of what's possible. My accolades include being recognized as a Kaggle Dataset EXPERT and Notebook EXPERT, a testament to my data analysis prowess. ππ‘") | |
# st.markdown("π I'm not just limited to personal accomplishments; I've actively contributed to the world of open-source models and research papers, always striving to stay at the forefront of technological advancements. ππ¬") | |
# st.markdown("π₯ If you're looking for a dedicated and forward-thinking team player who can turn data into insights and drive real change, I'm your candidate. Let's innovate together and make a difference! πͺππ") | |
annotated_text( | |
" π Hello, I'm ", | |
("GOURAV GUJARIYA", "Nice person"), | |
", and I'm more than just a name. I'm a passionate ","data science enthusiast", | |
" with a burning desire to create real-life impact through",(" innovation."," π"), | |
" With a ", | |
"solid foundation ", | |
"in machine learning (ML) and deep learning (DL),", | |
" I thrive on challenges that push the ", | |
"boundaries ", | |
"of what's possible. My accolades include being recognized as a Kaggle ",("Dataset EXPERT"," Badge π")," and",(" Notebook EXPERT"," Badge π©βπ»"), | |
"a testament to my data analysis prowess. π", | |
"π I'm not just limited to personal accomplishments; I've actively contributed to the ", | |
("world","π")," of open-source models and ",("research papers","in progress π"), | |
", always striving to stay at the forefront of technological advancements. ππ¬", | |
"π₯ If you're looking for a ",("dedicated","Adj")," and forward-thinking team player who can turn data into insights and drive real change", | |
", I'm your candidate. Let's innovate together and make a difference! πͺππ" | |
) | |
# Contact Information | |
st.sidebar.header("Contact Information") | |
st.sidebar.markdown("Email: er.gouravgujariya@gmail.com") | |
st.sidebar.markdown("Phone: 9460468011") | |
st.sidebar.markdown("[LinkedIn](https://www.linkedin.com/in/gourav-gujariya)") | |
st.sidebar.markdown("[GitHub](https://github.com/gouravgujariya)") | |
# Links to Projects | |
st.sidebar.header("Projects") | |
project_links = { | |
"Text Analysis": "https://huggingface.co/spaces/gouravgujariya/Text_analysis", | |
"Scan Threat Detection": "https://huggingface.co/spaces/gouravgujariya/Scan_Threat_detection", | |
"Web to JSON": "https://huggingface.co/spaces/gouravgujariya/Web_to_json" | |
} | |
for project_name, link in project_links.items(): | |
st.sidebar.markdown(f"[{project_name}]({link})") | |
import streamlit as st | |
# Create an expandable section for Education | |
with st.expander("Education"): | |
st.subheader("Dr. B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India") | |
st.write("BTech in Computer Science and Engineering") | |
st.write("CGPA: 7.32") | |
st.write("Year of Graduation: 2024") | |
# Create an expandable section for Experience | |
with st.expander("Experience"): | |
st.subheader("Microlent Systems Pvt Ltd, Rajasthan, India (05/2023-06/2023)") | |
st.write("PYTHON DEVELOPER (INTERN)") | |
st.markdown("- Developed an NLP-based pipeline using Python, collaborating with a team to filter text and generate 3D objects.") | |
st.markdown("- Utilized shape-based testing to improve efficiency and gained valuable experience in natural language processing and 3D object generation.") | |
st.markdown("- Conducted extensive testing and model selection within the pipeline, resulting in significant time savings.") | |
st.markdown("- This experience allowed for hands-on learning alongside industry professionals, enhancing Python and machine learning skills.") | |
st.markdown("- Assembled and programmed a Python-based solution for 3D object generation. Solved complex challenges in text-to-3D conversion, showcasing expertise in NLP and contributing to streamlined processes.") | |
# Create an expandable section for Personal Projects | |
with st.expander("Personal Projects"): | |
st.subheader("Cloud Detection System (05/2023-06/2023)") | |
st.markdown("- Designed and engineered a cutting-edge Cloud Detection System achieving an exceptional 99% accuracy rate.") | |
st.markdown("- Reduced dataset noise effectively through the implementation of OpenCV image enhancement techniques.") | |
st.markdown("- Efficiently annotated datasets using Roboflow techniques, streamlining data processing.") | |
st.markdown("- Led valuable contributions to atmospheric science by analyzing cloud characteristics, enhancing understanding in scattering, absorption, and infrared radiation.") | |
st.markdown("- Developed a scalable and reliable Cloud Detection System that monitors hundreds of thousands of images per day.") | |
st.subheader("Runtime Prediction Model (05/2022-12/2022)") | |
st.markdown("- Designed and engineered a predictive model for algorithm time complexity analysis, leveraging skills in machine learning.") | |
st.markdown("- Developed, trained, and fine-tuned 9 machine learning models, achieving a remarkable accuracy score of 74.64%.") | |
st.markdown("- Evaluated 7 ensemble algorithms and 3 baseline models, resulting in a 15% accuracy improvement.") | |
st.markdown("- Implemented solutions for efficient algorithm optimization, providing valuable insights to enhance processes.") | |
# Achievements | |
st.header("Achievements") | |
st.markdown("Kaggle: Dataset EXPERT and Notebook EXPERT") | |
st.markdown("COMMUNITY: Google Dev Student Club active member") | |
# Create a column layout for Technical Skills | |
st.header("Technical Skills") | |
# Define the layout with two columns | |
col1, col2 = st.columns(2) | |
# Column 1 | |
with col1: | |
st.subheader("Languages") | |
st.write("Python, C++") | |
st.subheader("Tools") | |
st.write("Machine learning, Deep learning, Natural language processing, Computer vision, Tensorflow") | |
# Column 2 | |
with col2: | |
st.subheader("Technologies/Frameworks") | |
st.write("Streamlit, Keras, OpenCV, NLTK, YOLO") | |
st.subheader("Basic") | |
st.write("Object-oriented programming, RDBMS (SQL), Operating Systems") | |
# Add a footer or any other additional content if needed | |
if st.button(" feeling lucky"): | |
st.balloons() | |