Headline
Transforming complex data into actionable business intelligence & predictive models.
About
Analytical and results-driven Computer Science and Engineering student specializing in Data Science. Proficient in executing robust ETL workflows, building predictive classification models, and developing interactive data analytics dashboards. Leverages strong engineering principles alongside the high-performance discipline, leadership, and collaborative focus of a national-level competitive athlete.
Education
Projects
AI-Based Manipulative Language Detection
Upgraded architecture from a high-overhead TF-IDF and Random Forest model to a highly optimized, lightweight 5 MB FastText subword classification model. Engineered custom preprocessing routines featuring template stripping, text augmentation, and 180s auto-tuning. Deployed an interactive Streamlit dashboard showing live inference predictions, multi-class confidence metrics, validation charts, and real-time confusion matrices.
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E-Commerce Business Intelligence & Sales Analytics Platform
Analyzed 100K+ e-commerce orders across 9 relational tables using MySQL, SQL, Python, Pandas, and Power BI, performing data cleaning, validation, KPI analysis, and exploratory data analysis. Developed interactive Power BI dashboards to analyze revenue trends, customer distribution, product performance, payment methods, delivery efficiency, and customer satisfaction, generating actionable business insights.
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TraceLab Campus Reclaim Hub
Developed a centralized Lost & Found web portal enforcing secure institutional authentication via domain-specific emails to digitize tracking and prevent fraud. Built a secure backend admin verification module matching descriptions and images, backed by a persistent MySQL database for efficient historical tracking.
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