About
Computer Science (Data Science) undergraduate with hands-on internship experience in network intrusion detection and data analysis. Strong foundation in Python, SQL, machine learning, and data visualization using tools like Tableau, Streamlit, and Scikit-learn.
Experience
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InternshipNational Atmospheric Research Laboratory (NARL)May 2026 – Jul 2026
Developed a Network Intrusion Detection System using Python, Pandas, and Scikit-learn to analyze network traffic and identify suspicious activity. Performed data preprocessing, feature engineering, and traffic analysis for machine learning-based intrusion detection.
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InternshipSmartBridge2026 – —
Analyzed electricity consumption data using Tableau to identify consumption patterns, trends, and variations. Developed interactive dashboards and visualizations to communicate insights from electricity usage data.
Education
- 2027
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2023
IntermediateSri Chaitanya Girls Junior CollegeClass XII · 2023
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2021
SSCSilver Bells Central SchoolClass X · 2021
Skills
Tools / apps / platforms
Projects
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Client Telemetry Data DashboardTableau, JSON
Built an interactive dashboard using telemetry datasets to analyze performance and identify trends. Created visualizations to present key insights from client telemetry data.
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Loan Approval PredictionPython, Scikit-learn
Developed a machine learning model to predict loan approval outcomes using applicant-related features. Performed data preprocessing, feature engineering, model training, and evaluation using Scikit-learn.
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To-Do List ApplicationPython, Streamlit
Developed an interactive task management application using Python and Streamlit with a user-friendly interface. Implemented task creation, updating, and deletion functionalities.
Courses & certifications
- Generative AI Workshop · NxtWave
- Python Essentials 1 · Cisco Networking Academy
- Introduction to Data Science · Cisco Networking Academy
- Deloitte Data Analytics Job Simulation
- Python and MySQL · Scaler
- PwC Launchpad Program · CEDA (Cloud Engineering)