
Motivated junior technology professional with strong fundamentals in Python and SQL, and hands-on experience through internships and project work. Comfortable working with Python scripting, data handling, and debugging, and eager to apply these skills in real-world environments. Actively looking to grow professionally, take on new challenges, and build a strong foundation in the technology industry.
• Worked with Python scripts to preprocess and organize datasets for machine learning use
• Implemented basic machine learning models such as Decision Tree, Random Forest, and SVM using standard Python libraries
• Ran experiments to observe model behavior and compare output results
• Focused primarily on Python-based data handling, scripting, and result analysis
• Built and tested Python scripts and SQL queries as part of internship learning modules.
• Explored application frameworks and implemented small features for practice environments.
• Debugged sample programs to understand common issues, and improve code quality.
• Gained exposure to software development concepts and structured coding practices.
Programming: Python, SQL
Cloud & Microsoft: Microsoft 365 Administration, SharePoint Online, PowerShell
Reporting: Power BI
Core Strengths: Problem Solving, Logical Thinking, Adaptability
Multiple Expense Forecasting in Healthcare Sector
• Developed a Python-based healthcare expense forecasting project using structured datasets
• Worked with disease and symptom data and prepared inputs for analysis using Python
• Implemented basic machine learning models such as Decision Tree, Random Forest, and SVM using standard libraries
• Strengthened skills in Python scripting, data handling, and practical model implementation