About
Computer Engineering aspirant with strong academic performance and hands-on project experience in Python, Machine Learning, and Data Science. Has built end-to-end predictive and NLP-based classification systems for academic projects and is seeking entry-level roles in Data Science, Machine Learning, and Python development.
Education
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Bachelor of Engineering in Computer EngineeringComputer Engineering · 2023 – 2027
Skills
Projects
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Hybrid Dark Pattern Detection System Using NLP and DOM-Based Feature AnalysisPython, NLP, BERT, FastAPI, Browser Extension
NLP-based dark pattern detection system using a fine-tuned BERT model to classify deceptive e-commerce text into 8 categories. Integrated DOM-based heuristic detection, FastAPI backend, and a real-time browser extension; achieved 93% classification accuracy and included price verification and product recommendation features.
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Sales ForecastingPython, Machine Learning, Deep Learning, Random Forest, XGBoost, LSTM, GRU
Retail sales forecasting model built with machine learning and deep learning algorithms. Preprocessed sales data, engineered features, and evaluated models using MAE, RMSE, and R2 metrics.
Courses & certifications
- Computer Networks Workshop using Cisco Packet Tracer · 2025
- Professional Certificate in Artificial Intelligence · Edutainer
⚽ Extracurricular activities
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i-Sphere 1.0 Inter-Collegiate Techno Fest
Participated in the techno fest in 2026.