About

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.

Experience1

1. M

   Business Development Executive

   Feb 2026 — Present

   Mybankloan.ai

   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.

Projects2

• 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.

  • Python
  • Machine Learning
  • Jupyter

• 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.

  • SQL

Education1

• SI

  Master of Business Administration (MBA)

  2025

  Sal Institute of Management