Hi there! 👋
Based in Bengaluru, India, I'm a Data Science & ML Engineer in the making. I build real-time fraud detection systems, knowledge-graph-based cyber threat intelligence, and data-driven dashboards. Passionate about AI, NLP, and turning raw data into impact.
Pre-final year Computer Science & Engineering (Data Science) student at Sai Vidya Institution of Technology, Bengaluru, with a GPA of 8.3/10.
Currently working (and recently completed) a Data Analyst internship at Unified Mentor Pvt. Ltd. where I built interactive Power BI dashboards, performed EDA on transactional datasets, and translated business requirements into analytical workflows.
I bring a blend of ML engineering, data analytics, and a genuine passion for Generative AI, NLP, and knowledge graphs to every project I touch.
Feb 2026 - May 2026
Performed data cleaning, EDA, and feature analysis on transactional datasets to identify anomalies and patterns. Built interactive Power BI dashboards to communicate insights and support decision-making.
Gurugram, Haryana (Remote)
Oct 2025 - Present
Conducted a hackathon with over 60 participants and hosted an AI/Data Science industry seminar, fostering a data-driven community on campus.
Bengaluru, India
Sep 2023 - Jun 2027
Bachelor of Engineering in Computer Science and Engineering (Data Science) at Sai Vidya Institution of Technology, Bengaluru. GPA: 8.3/10.
Bengaluru, India
Key Projects
🔍 Fraud Detector
Real-time credit card fraud detection (280K+ transactions). XGBoost pipeline achieving ~0.94 AUC-ROC, deployed via FastAPI & Streamlit. Oct–Nov 2025.
Check it out
🛡️ Cyber Threat
Intelligence
GraphRAG pipeline with Neo4j + LangChain. CVE & MITRE ATT&CK knowledge graph; ~30% better query relevance. Apr–Jun 2025.
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💰 FundForge
Data-driven financial application with advanced analytics and machine learning insights.
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🚀 SupportOpsEnv
Developed an AI-powered customer support simulation environment where intelligent agents handle tasks such as refunds, damaged goods, and priority ticket management. Built task workflows, grading systems, and REST APIs to evaluate AI decision-making performance in real-world support scenarios.
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🏢 Buyer Intelligence
Real estate customer segmentation (2K clients, 10K properties) using K-Means and Hierarchical clustering. Optimized data quality with custom regex-based date parsers and monetary sanitizers. Deployed interactive Streamlit BI dashboard with Plotly choropleth maps. May 2026.
Check it outSai Vidya Institution of Technology
Bengaluru, India | GPA: 8.3/10
Let's build something amazing together