I'm Alisha Shaikh, an aspiring software and data professional passionate about Python development, data analysis, and solving real-world problems with code.
Currently focused on building hands-on projects, mastering Machine Learning, and collaborating with fellow developers. I'm committed to continuous learning and creating clean, purposeful digital solutions.
Sasmira Institute of Commerce & Science (SICS)
CGPA: 9.60
Lala Lajpatrai Educational Institute
Percentage: 70.00%
Anjuman-I-Islam Begum Sharifa Kalsekar Girls English School
Percentage: 78.80%
Built a Streamlit app to identify AQI levels from real-time data using Python. It fetches AQI data, processes it, and visualizes results for monitoring pollution trends.
Analyzed and visualized patient medical indicators such as BMI and cholesterol, handling missing values and outliers for clear insights.
Applied linear regression to predict sea level trends using real-world time-series data. Visualized long-term patterns with Seaborn & Matplotlib.
Developed SMS spam classifier (~98% accuracy) using TF-IDF + Naive Bayes in Python. Automated preprocessing (tokenization, stopword removal) for efficient text classification.
Built sentiment analysis model with Scikit-Learn & TextBlob to classify text as positive, neutral, or negative.Implemented preprocessing (tokenization, lemmatization) for clean input.
Developed responsive voting system with one-person-one-vote authentication & real-time results. Presented research at International Hybrid Conference on Sustainability (2025).
A clean and colorful fruits website UI designed in Figma focusing on layout balance, accessibility, and smooth user flow.
Product landing page UI created in Figma emphasizing branding, typography, and modern visual hierarchy.
Product design prototype created in Figma focused on modern UI layout, clear product emphasis, and intuitive interaction.