About Me
Aspiring Data Analyst with hands-on experience in Python, Pandas, SQL, Excel, Power BI, and Machine Learning through practical data analytics projects. Skilled in data cleaning, exploratory data analysis, data visualization, dashboard development, and extracting meaningful insights from datasets. Completed a Data Analytics with GenAI course from Top Mentor and earned certifications in Python, SQL, and Machine Learning. Seeking an entry-level Data Analyst opportunity to apply analytical and technical skills to real-world business problems.
Skills & Technologies
Projects
Flight Fare Price Prediction using Machine Learning
Developed a machine learning model to predict flight ticket prices using historical flight data, performing data cleaning, preprocessing, feature engineering, and exploratory analysis. Analyzed factors affecting flight fares and evaluated model performance using Python, Pandas, and Machine Learning techniques.
Supply Chain Analysis
Performed end-to-end analysis of supply chain data using Python and Pandas, cleaning and transforming datasets to identify important business trends and patterns. Created visualizations to analyze sales, product performance, inventory, and supply-chain metrics, generating data-driven insights to support business decisions.
Ford Car Price Prediction using Python & Machine Learning
Built a machine learning model to predict Ford vehicle prices from historical automobile data, including data preprocessing, exploratory analysis, feature selection, and model evaluation. Used Python and Pandas and applied regression-based machine learning techniques for price prediction.
Customer Churn Analysis
Analyzed customer data to identify patterns and factors associated with customer churn through data cleaning and exploratory analysis. Developed an interactive Power BI dashboard to present key churn metrics and business insights, supporting customer retention analysis and decision-making through data visualization.