About
Computer Science undergraduate with hands-on experience in Python, SQL, Power BI, Excel, and data analytics. Skilled in data cleaning, data visualization, dashboard development, and translating structured data into actionable business insights.
Experience
-
Data Analytics Job SimulationDeloitte Australia (Forage)2025 – 2028
-
Data Analytics Job SimulationQuantium (Forage)
-
AI & Machine Learning Virtual InternshipGoogle
-
Introduction to Software EngineeringCommonwealth Bank (Forage)
Education
-
Bachelor of Technology in Computer Science & EngineeringMarri Laxman Reddy Institute of Technology and Management (MLRITM)Computer Science & Engineering · Sep 2024 – Jun 2028
Skills
Projects
-
Data Analytics ProjectsPython, SQL, Excel, Power BI
Transformed and visualized real-world datasets using Python, SQL, Excel, and Power BI to support analysis-ready reporting. Developed interactive dashboards and reports to communicate insights and support business decision-making. Conducted exploratory data analysis (EDA) to uncover trends, patterns, and actionable, data-driven insights.
-
CODA - AI-Powered Misinformation Detection SystemPython, Flask, NLP, Machine Learning
Built and deployed an AI-based analytics platform for real-time news verification and misinformation detection using Python, Flask, and NLP. Engineered a confidence-scoring algorithm and data-driven risk-analysis model to assess content credibility. Designed and developed an interactive dashboard to visualize credibility scores, analysis results, and key risk indicators.
Courses & certifications
- Quantium Data Analytics Job Simulation · Forage
- Deloitte Data Analytics Job Simulation · Forage
- Google AI & Machine Learning Virtual Internship · Google
- IBM SQL & Relational Databases 101 · IBM