I am a Data Science student with hands-on experience in data analysis, machine learning, and real-world application development. I enjoy extracting insights from data, building ML models, and creating interactive dashboards that solve practical problems.
- Python
- SQL
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Machine Learning
- Natural Language Processing (NLP)
- Streamlit
- Flask
- Data Analysis
- Exploratory Data Analysis (EDA)
- Web Scraping
- APIs
- Built a Flask-based web application to fetch real-time case data from the eCourts portal
- Implemented web scraping using BeautifulSoup & Selenium
- Extracted structured case metadata, orders, and judgment history
- Enabled PDF download from JavaScript-based viewers using proxy logic
- Built an NLP-based machine learning model to classify news as Fake or Real
- Integrated real-time News API for validation
- Developed an interactive Streamlit UI with dataset upload & visualization
🔗 Live App
- Developed an ML model to analyze bias patterns in court judgments
- Applied text preprocessing and TF-IDF vectorization
- Built a Streamlit dashboard for visualization
🔗 Live App
- Performed EDA on 8000+ Netflix titles dataset
- Built an interactive dashboard using Streamlit
- Visualized trends in genres, ratings, and content growth
🔗 Live App
📧 Email: shrishtibanshiar105@gmail.com 💻 GitHub: Shrishti1701
"Turning data into insights and decisions."