Isha Narayan

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• Proficiency in Python and SQL, directly aligning with the target role's core requirements.
• Practical experience in data analytics, visualization, and predictive modeling using various ML algorithms (Linear Regression, Decision Trees, XGBoost).
• Hands-on experience with data preprocessing, exploratory data analysis (EDA), and interactive dashboard development using tools like Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Power BI, Tableau, and Excel.
• Demonstrated ability to work with structured and time-series datasets, performing data cleaning, transformation, and integration.
• Internship experience at NIC (Data Science Intern) and CTTC (Data Analytics Intern) provides foundational exposure to real-world data challenges and reporting techniques.