About Me
Data Analyst with hands-on experience in Python, SQL, and predictive modeling through applied projects in classification and exploratory data analysis. Skilled in feature engineering, data visualization, and building end-to-end ML workflows using Python and Jupyter Notebook. Strong foundation in business analytics from professional experience in MIS reporting and data-driven coordination. Seeking an entry-level opportunity in Machine Learning, Data Science, or Data Analytics.
Skills & Technologies
Work Experience
Business Development Executive
Maintained accurate customer and loan records in Excel to ensure data integrity for reporting and analysis. Prepared daily MIS reports to support business tracking and decision-making. Verified KYC documents and customer information for compliance accuracy. Coordinated with cross-functional teams to support reporting workflows and process alignment.
Projects
Airline Customer Satisfaction Prediction
Performed feature engineering and data visualization on a 10,000-record airline passenger dataset with 25 features to identify key drivers of customer satisfaction. Built and evaluated a classification model achieving 90% accuracy, 88.4% precision, 87.3% recall, and an F1-score of 0.878.
FIFA World Cup Team Performance Analysis
Analyzed performance data across 32 teams and 8 groups to identify top-performing teams, winning percentages, and goal-scoring trends. Wrote 30+ SQL queries using JOINs, subqueries, GROUP BY/aggregate functions, CASE logic, and multi-column sorting to derive group-wise performance metrics.
Education
Master of Business Administration (MBA)
Business Administration