Showcasing Data-Driven Solutions, Real Insights
Here you’ll find a curated selection of my data science and machine learning projects. Each project highlights my ability to transform raw data into meaningful insights, predictive models, and actionable business value.
From exploratory data analysis (EDA) and interactive visualizations, to machine learning models, NLP solutions, and deep learning experiments, my portfolio demonstrates a strong foundation in statistics, programming, and problem-solving.
Every project is built with precision — covering data cleaning, feature engineering, model building, evaluation, and deployment. I use tools such as Python (Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn) to ensure solutions are both robust and scalable.
Whether applied to business intelligence, automation, or AI-driven decision-making, these projects reflect how I bridge the gap between data and real-world impact.
📊 Explore my work, discover patterns in data, and see how I can help you leverage data science for smarter solutions.
A deep learning project that classifies images of cats and dogs using a Convolutional Neural Network...
Build a Web Scraping & Data Cleaning Pipeline with Python, BeautifulSoup, Pandas, and SQL. Automate...
Build an Interactive Data Visualization Dashboard with Python, Streamlit, and Plotly. Showcase your...
Explore how I built a Sentiment Analysis model using Python, NLP, and Streamlit to analyze social me...
A hands-on data science project: interactive Sales Forecasting Dashboard built with Python, Pandas,...
Customer churn is a major challenge for telecom businesses. Using machine learning, I built a classi...
