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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+IMG_6142.JPG filter=lfs diff=lfs merge=lfs -text
+sql_basic[[:space:]]certificate[[:space:]](1).png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,13 +1 @@
----
-title: Portfolio
-emoji: 🏃
-colorFrom: pink
-colorTo: green
-sdk: streamlit
-sdk_version: 1.40.1
-app_file: app.py
-pinned: false
-short_description: My portfolio
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# portfolio

app.py

@@ -0,0 +1,235 @@
+
+import streamlit as st
+from PIL import Image
+from streamlit_lottie import st_lottie
+import json
+from streamlit_option_menu import option_menu  # Import the option_menu
+
+#setting layout to wide
+st.set_page_config(layout="wide")
+# Load CSS for styling with a minimalist grey background
+with open("style.css") as f:
+    css_content = f.read()
+    css_content += '''
+    body {
+        background-color: #f0f2f6;
+    }
+    '''
+    st.markdown('<style>{}</style>'.format(css_content), unsafe_allow_html=True)
+
+def load_lottiefile(filepath: str):
+    with open(filepath, "r") as file:
+        return json.load(file)
+
+def display_header():
+    st.write('''
+    # Nihar Palem
+    ##### 
+    ''')
+    # Assuming you have a Lottie animation to display
+    lottie_animation = load_lottiefile("bio.json")
+    st_lottie(lottie_animation, height=300, key="header_animation")
+
+def display_summary():
+    #st.markdown('## Summary', unsafe_allow_html=True)
+    st.markdown("""Hello!, This is Nihar Palem. I'm originally from Hyderabad and currently residing in the Silicon Valley Bay Area, San Jose. I'm pursuing a Master's degree in Data Analytics at San Jose State University. 
+    In this portfolio, you can explore my academic background, work experience, and projects in the data science field. 
+    You'll also find links to my skills, other hobbies, and certifications.""")
+    
+def display_education():
+    st.markdown('## Education')
+    st.write("""
+    - **Masters In Data Analytics**, *San Jose State University*, USA (2023-2024)
+      - 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.
+        - Member of the college cricket team; won the Hyderabad zone-level tournament
+    """)
+def display_work_experience():
+    st.markdown('## Work Experience')
+    st.write("""
+    **Bharat Electronics Limited, Hyderabad**
+    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.
+
+    **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.
+    - Authored numerous articles that explore complex topics in an accessible and informative manner, focusing on data science, machine learning, bioinformatics, and data engineering.
+    - This new habit aims to educate and inspire, bridging the gap between technical expertise and practical application in the modern data landscape.
+    - 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')
+
+    # Define tab titles
+    tab_titles = [
+        "Squat Easy", 
+        "ASL Translator", 
+        "Face Recognition", 
+        "Stock Market Chatbot", 
+        "Twitter Trend Analysis", 
+        "Restaurant Recommendation System", 
+        "Bitcoin Lightning Path Optimization",
+        "National Infrastructure Monitoring"
+    ]
+
+    # Create tabs
+    tabs = st.tabs(tab_titles)
+
+    # Add content to each tab
+    with tabs[0]:
+        st.header("Squat Easy")
+        st.markdown("""
+        - **Description**: Engineered a custom BiLSTM architecture in PyTorch with extensive hyperparameter tuning, achieving 81% training and 75% test accuracy in classifying six types of squatting errors from video data. Optimized through data augmentation and CUDA-based GPU acceleration.
+        - **Technologies Used**: PyTorch, Object-Oriented Programming (OOP), GitHub
+        - **Reference**: [Link to Project](https://github.com/niharpalem/squateasy_DL)
+        """)
+
+    with tabs[1]:
+        st.header("ASL Translator")
+        st.markdown("""
+        - **Description**: Crafted a ASL translation system using MediaPipe for point detection and trained a Random Forest Model , achieving 95% accuracy in real-time gesture interpretation. Implemented an adaptive hand skeleton GIF generator for intuitive visual representation.
+        - **Technologies Used**: MediaPipe Hand Detection, Hugging Face Platform
+        - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/slr-easz)
+        """)
+
+    with tabs[2]:
+        st.header("Face Recognition")
+        st.markdown("""
+        - **Description**: Integrated fiducial point features, CNN-extracted image features, and Siamese networks in TensorFlow, attaining 85% test accuracy for facial recognition. Optimized for real-world security applications by balancing computational efficiency with accuracy.
+        - **Technologies Used**: TensorFlow, Siamese Networks
+        - **Reference**: [Link to Project](#)
+        """)
+
+    with tabs[3]:
+        st.header("Stock Market Chatbot")
+        st.markdown("""
+        - **Description**: Architected a multilingual stock analysis system using Apache Spark and a custom LLM, boosting query performance by 25% over traditional SQL approaches. Interfaced with Snowflake for efficient financial data retrieval and real-time insights in English and Chinese.
+        - **Technologies Used**: PySpark for Querying, Data Warehousing with Redshift and Snowflake
+        - **Reference**: [Link to Project](#)
+        """)
+
+    with tabs[4]:
+        st.header("Twitter Trend Analysis")
+        st.markdown("""
+        - **Description**: Engineered an ELT pipeline using GCP's BigQuery for Twitter data processing and sentiment analysis. Integrated Tableau for live, interactive dashboards, showcasing advanced cloud data engineering skills and cost-effective data storage solutions.
+        - **Technologies Used**: Apache Airflow for Automation, Docker, Tableau for Dashboards
+        - **Reference**: [Link to Project](#)
+        """)
+
+    with tabs[5]:
+        st.header("Restaurant Recommendation System")
+        st.markdown("""
+        - **Description**: Engineered a recommendation engine using collaborative and content-based filtering, achieving a 15% accuracy increase. Constructed a Flask web app with Folium integration for an interactive, location-based restaurant suggestion interface.
+        - **Technologies Used**: Collaborative Filtering, Content-Based Filtering
+        - **Reference**: [Link to Project](#)
+        """)
+
+    with tabs[6]:
+        st.header("Bitcoin Lightning Path Optimization")
+        st.markdown("""
+        - **Description**: Implemented a graph-based algorithm to optimize payment routing in the Bitcoin Lightning Network. Created a simulation environment to validate improved efficiency in multi-channel transactions under various network conditions.
+        - **Technologies Used**: Graph-Based Algorithms, Simulation Environments
+        - **Reference**: [Link to Project](#)
+        """)
+
+    with tabs[7]:
+        st.header("National Infrastructure Monitoring")
+        st.markdown("""
+        - **Description**: Utilized satellite imagery to detect changes between different time frames by fine-tuning a Change ViT model. Developed a UI where users can draw bounding boxes on a Python map library; these coordinates are used in Google Earth Engine (GEE) to extract Sentinel-2 imagery. Users can select the resolution of images for caching. The processing function includes contrast adjustments and automatic image chipping as the model requires 256x256 inputs, generating change masks effectively.
+        - **Technologies Used**: Satellite Imagery Analysis, Change ViT Model, Google Earth Engine (GEE), Python Map Libraries
+        - **Reference**: [Link to Project](https://huggingface.co/spaces/Niharmahesh/Data298)
+        """)
+
+
+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
+- **Model Deployment**: Streamlit, Flask
+- **Cloud Platforms**: AWS, Google Cloud Platform (GCP), Azure
+- **Big Data Technologies**: Apache Spark, Hadoop
+- **Databases**: MySQL, PostgreSQL, MongoDB
+- **Version Control**: Git, GitHub
+- **Collaboration Tools**: JIRA, Notion
+""")
+def display_apps():
+    st.markdown('## Apps')
+    st.markdown("""
+- [CNN arch](https://cnn-arch.streamlit.app/)
+""")
+    
+def display_certifications():
+    st.markdown('## Certifications')
+    certifications = [
+        {"path": 'mlds-pyt.png', "title": "Python for Data Science and Machine Learning Bootcamp"},
+        {"path": 'sql_basic certificate (1).png', "title": "HackerRank SQL (Basic)"},
+        {"path": 'aws.png', "title": "AWS Cloud Practitioner Udemy Course by Stephane Maarek"},
+        {"path": 'AWS Certified Cloud Practitioner certificate.png', "title": "AWS Certified Cloud Practitioner"}
+    ]
+    
+    for certification in certifications:
+        st.image(certification["path"], caption=certification["title"], width=150)
+
+def display_social_media():
+    st.markdown('## Social Media')
+    st.markdown("""
+- [LinkedIn](https://www.linkedin.com/in/sai-nihar-1b955a183/)
+- [GitHub](https://github.com/niharpalem)
+- [Medium](https://medium.com/@nihar-palem)
+- [Twitter](https://twitter.com/niharpalem_2497)
+- [Email](mailto:[email protected])
+""")
+menu_items_with_icons = {
+    "🎓": display_education,
+    "💼": display_work_experience,
+    "📁": display_projects,
+    "🛠️": display_skills,
+    "🌐": display_social_media,
+    "🏆": display_certifications,
+    "📱": display_apps
+}
+
+def main():
+    # Initialize session state for selected function
+    if 'selected_function' not in st.session_state:
+        st.session_state.selected_function = None  # Default to None to not display any section initially
+
+    # Display the header with your name and Lottie animation first
+    display_header()
+    
+    # Display the summary section immediately after the header
+    display_summary()
+
+    # Create a row of buttons for each icon in the menu
+    cols = st.columns(len(menu_items_with_icons))
+    for col, (icon, func) in zip(cols, menu_items_with_icons.items()):
+        if col.button(icon):
+            # Update the session state to the selected function
+            st.session_state.selected_function = func
+
+    # If a function has been selected, call it
+    if st.session_state.selected_function is not None:
+        st.session_state.selected_function()
+
+if __name__ == "__main__":
+    main()

otheracheivements.json

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requirements.txt

@@ -0,0 +1,6 @@
+
+streamlit
+Pillow
+streamlit_lottie
+requests
+streamlit_option_menu

style.css

@@ -0,0 +1,25 @@
+ul {
+    padding-left: 1.5rem;
+  }
+
+h1 {
+    text-align:center;
+}
+
+h5 {
+    text-align:center;
+}
+
+img {
+    margin-left: 17.2rem;
+}
+
+#MainMenu {
+    visibility: hidden;
+}
+footer {
+    visibility: hidden;
+}
+header {
+    visibility: hidden;
+}

test.py

@@ -0,0 +1,26 @@
+import streamlit as st
+
+# Assuming 'data' and 'url' need to be defined for this context
+data = "Example data here"  # Placeholder for actual data
+url = "https://example.com"  # Placeholder URL
+
+st.button("Click me")
+st.download_button("Download file", data)
+st.link_button("Go to gallery", url)
+st.page_link("app.py", label="Home")
+st.data_editor("Edit data", data)
+st.checkbox("I agree")
+st.toggle("Enable")
+st.radio("Pick one", ["cats", "dogs"])
+st.selectbox("Pick one", ["cats", "dogs"])
+st.multiselect("Buy", ["milk", "apples", "potatoes"])
+st.slider("Pick a number", 0, 100)
+st.select_slider("Pick a size", ["S", "M", "L"])
+st.text_input("First name")
+st.number_input("Pick a number", 0, 10)
+st.text_area("Text to translate")
+st.date_input("Your birthday")
+st.time_input("Meeting time")
+st.file_uploader("Upload a CSV")
+st.camera_input("Take a picture")
+st.color_picker("Pick a color")

testsda.py

@@ -0,0 +1,185 @@
+import streamlit as st
+from PIL import Image
+
+with open("/Users/niharpalem/Desktop/cursor_codes/portfolio/style.css") as f:
+    st.markdown('<style>{}</style>'.format(f.read()), unsafe_allow_html=True)
+
+#####################
+# Header 
+st.write('''
+# Nihar Palem
+##### *Resume* 
+''')
+
+image = Image.open('/Users/niharpalem/Desktop/cursor_codes/portfolio/IMG_6142.JPG')
+st.image(image, width=150)
+
+st.markdown('## Summary', unsafe_allow_html=True)
+st.info("""
+    Hi 👋, I'm Nihar! Currently advancing my skills with a Master's in Data Analytics, I am deeply fascinated by the power of deep learning and its application in interpreting complex image data. Originating from Hyderabad, India, and holding a Bachelor's degree in Electrical Engineering, I am passionate about how deep learning concepts are revolutionizing industries by enabling machines to 'see' and 'understand' the world in unprecedented ways. This blend of technology and creativity challenges conventional problem-solving and paves the way for innovative solutions.
+
+    My enthusiasm extends beyond the technical aspects, as I am captivated by the broader impact of AI and deep learning in transforming industries. The potential to drive significant advancements and efficiencies across various sectors fuels my curiosity and dedication to the field. It's this combination of deep technical understanding and the ability to foresee practical applications that I believe is crucial for the future of technology and innovation. 🚀🤓
+    """
+)
+
+#####################
+# Navigation
+
+st.markdown('<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">', unsafe_allow_html=True)
+
+st.markdown("""
+<nav class="navbar fixed-top navbar-expand-lg navbar-dark" style="background-color: #16A2CB;">
+  <a class="navbar-brand" href="https://youtube.com/dataprofessor" target="_blank">Nihar Palem</a>
+  <button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation">
+    <span class="navbar-toggler-icon"></span>
+  </button>
+  <div class="collapse navbar-collapse" id="navbarNav">
+    <ul class="navbar-nav">
+      <li class="nav-item active">
+        <a class="nav-link disabled" href="/">Home <span class="sr-only">(current)</span></a>
+      </li>
+      <li class="nav-item">
+        <a class="nav-link" href="#education">Education</a>
+      </li>
+      <li class="nav-item">
+        <a class="nav-link" href="#work-experience">Work Experience</a>
+      </li>
+      <li class="nav-item">
+        <a class="nav-link" href="#Projects">Projects</a>
+      </li>
+      <li class="nav-item">
+        <a class="nav-link" href="#social-media">Social Media</a>
+      </li>
+    </ul>
+  </div>
+</nav>
+""", unsafe_allow_html=True)
+
+#####################
+# Custom function for printing text
+def txt(a, b):
+  col1, col2 = st.columns([4,1])
+  with col1:
+    st.markdown(a)
+  with col2:
+    st.markdown(b)
+
+def txt2(a, b):
+  col1, col2 = st.columns([1,4])
+  with col1:
+    st.markdown(f'`{a}`')
+  with col2:
+    st.markdown(b)
+
+def txt3(a, b):
+  col1, col2 = st.columns([1,2])
+  with col1:
+    st.markdown(a)
+  with col2:
+    st.markdown(b)
+  
+def txt4(a, b, c):
+  col1, col2, col3 = st.columns([1.5,2,2])
+  with col1:
+    st.markdown(f'`{a}`')
+  with col2:
+    st.markdown(b)
+  with col3:
+    st.markdown(c)
+
+#####################
+st.markdown('''
+## Education
+''')
+
+txt('**Masters In Data Analytics**, *San Jose State University*, USA',
+'2023-2024')
+st.markdown('''
+- Acquired a robust foundation in **Database Management Systems (DBMS)**, **Big Data**, **Machine Learning**, **Deep Learning**, **Data Visualization**, and **Cloud Computing**, with practical applications using **Airflow**, **GCP**, **Docker**, **Apache Spark**, and **Hadoop**.
+- Implemented key projects demonstrating real-world applications of learned skills:
+    - **Twitter Sentiment Analysis** using SQL and MongoDB for real-time data insights.
+    - **Stock Market Analysis** through predictive modeling to forecast market trends.
+    - **Face Recognition System** leveraging deep learning for enhanced security.
+    - **Pathfinding in Lightning Networks** to optimize blockchain network efficiency.
+- These projects underscored my ability to harness advanced analytics techniques and cloud-based tools for scalable solutions, preparing me for impactful contributions in the field of data analytics.
+''')
+
+txt('**Bachelor of Technology (B.Tech) in Electrical and Electronics Engineering (EEE)**, *Sreenidhi Institute of Science and Technology (SNIST)*, Hyderabad',
+'2015-2019')
+st.markdown('''
+- Actively participated in various clubs, contributing to a vibrant campus life and developing leadership skills alongside technical expertise.
+- Engaged in projects that applied electrical engineering principles to solve real-world problems, including:
+    - **Pathfinder**: Developed a solution for efficient navigation and routing.
+    - **Theft Alarm Detection using IoT**: Implemented an Internet of Things (IoT) based system for enhanced security and theft prevention.
+    - **Automatic Dust Collector**: Designed a project focused on automation and environmental cleanliness.
+- These experiences not only enriched my electrical engineering knowledge but also honed my problem-solving skills and creativity in technology applications.
+''')
+
+#####################
+st.markdown('''
+## Work Experience
+''')
+
+txt('**Graduate Trainee Apprentice**, Bharat Electronics Limited (BEL)',
+'February 2021 - March 2022')
+st.markdown('''
+- Gained hands-on experience with **MySQL**, focusing on office data analysis including handling employee logs and data wrangling tasks.
+- Utilized **Computer-Aided Design (CAD)** software for designing circuit diagrams and adjusting plan diagrams to meet company requirements.
+- Developed a solid understanding of practical applications in electrical engineering and technology within a leading electronics company.
+- Contributed to the team by applying technical skills to solve real-world problems, enhancing operational efficiency and supporting project requirements.
+''')
+
+txt('**Content Creator & Photographer**, [Instagram: @antharnayan](https://www.instagram.com/antharnayan?igshid=OGQ5ZDc2ODk2ZA%3D%3D)',
+'Year Started - Present')
+st.markdown('''
+- Developed **@antharnayan** on Instagram to share my vision through photography, which serves as a stress buster and a passion project. The name translates to "inner vision," reflecting my approach to capturing moments.
+- Active member of several Hyderabad photography clubs, engaging with the community and participating in collaborative projects.
+- Worked on a notable project with a South Indian film star, showcasing my ability to handle high-profile photography assignments.
+- My major interest lies in **landscape photography**, where I focus on capturing the beauty and serenity of natural landscapes, translating my travels and explorations into visual stories.
+''')
+
+txt('**Technical Writer**, [Nihar Palem Blog](https://medium.com/@nihar-palem)',
+'2023-Present')
+st.markdown('''
+- 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 on Medium.
+- Authored numerous articles that explore complex topics in an accessible and informative manner, focusing on **data science**, **machine learning**, **bioinformatics**, and **data engineering**.
+- This new habit aims to educate and inspire, bridging the gap between technical expertise and practical application in the modern data landscape.
+''')
+
+#####################
+st.markdown('''
+## Projects
+''')
+txt4('Optimal Pathfinding for Lightning Networks', 'Utilized machine learning to find optimal payment paths in lightning networks, enhancing transaction efficiency.', 'Project URL or more info if available')
+txt4('Face Recognition', 'Developed a deep learning model capable of distinguishing between myself and a friend, trained on our images.', 'Project URL or more info if available')
+txt4('Stock Market Chatbot', 'Implemented a chatbot using Spark for real-time data streaming, powered by a large language model (LLM) to query and respond based on the database.', 'Project URL or more info if available')
+txt4('Twitter Sentiment Analysis', 'Analyzed Twitter sentiment using SQL and NoSQL databases to gain real-time insights into public opinion.', 'Project URL or more info if available')
+txt4('Stock Market Analysis', 'Conducted stock market analysis using SQL, applying data analytics to forecast market trends.', 'Project URL or more info if available')
+
+
+#####################
+st.markdown('''
+## Skills
+''')
+txt3('Programming', '`Python`, `R`, `Linux`')
+txt3('Data processing/wrangling', '`SQL`, `pandas`, `numpy`')
+txt3('Data visualization', '`matplotlib`, `seaborn`, `plotly`, `altair`, `ggplot2`')
+txt3('Machine Learning', '`scikit-learn`')
+txt3('Deep Learning', '`TensorFlow`')
+txt3('Web development', '`Flask`, `HTML`, `CSS`')
+txt3('Model deployment', '`streamlit`, `gradio`, `R Shiny`, `Heroku`, `AWS`, `Digital Ocean`')
+
+#####################
+st.markdown('''
+## Social Media
+''')
+txt2('LinkedIn', 'https://www.linkedin.com/in/chanin-nantasenamat')
+txt2('Twitter', 'https://twitter.com/thedataprof')
+txt2('GitHub', 'https://github.com/chaninn/')
+txt2('', 'https://github.com/chaninlab/')
+txt2('', 'https://github.com/dataprofessor')
+txt2('ORCID', 'http://orcid.org/0000-0003-1040-663X')
+txt2('Scopus', 'http://www.scopus.com/authid/detail.url?authorId=12039071300')
+txt2('ResearcherID', 'http://www.researcherid.com/rid/F-1021-2010')
+txt2('ResearchGate', 'https://www.researchgate.net/profile/Chanin_Nantasenamat')
+txt2('Publons', 'https://publons.com/a/303133/')