Built an NLP pipeline on the FindVehicle dataset with 42K descriptions and 21 entity classes. Converted CoNLL-style annotations to BIOE tagging and benchmarked RNN, LSTM, BiLSTM, and transformer architectures. Fine-tuned RoBERTa-base with AdamW, outperforming all baselines.

Processed 141M+ wearable health records totaling 17GB using PySpark on HDFS with Parquet format. Engineered risk features and identified key correlations across 127K+ users. Built K-Means segmentation and Linear Regression risk-scoring model deployed via Streamlit for real-time prediction.

- Designed a full-stack web app for customized movie recommendations, leveraging subtitle data from IMDb API. - Integrated both content-based and behavior-aware filtering to deliver tailored suggestions. - Built an NLP pipeline to extract genre and summary metadata from subtitles. - Analyzed implicit user behavior to support session-aware and dynamic content personalization - Deployed the application on Amazon Amplify, enabling fast, real-time recommendations with 80% accuracy and maintaining computational efficiency.

- Built ML system to detect fraudulent job emails using Enron, survey, and synthetic data - Engineered 15+ features (e.g., scam/urgency keywords, sender metadata) & trained models (LogReg, SVM, RF, XGBoost) - Achieved 96.7% accuracy & 73.4% F1 with Random Forest; used SHAP for interpretability - Applied SMOTE + Stratified K-Fold CV to address class imbalance

GPA: 3.73/4.0

Grade: A

Advanced Digital Marketing course offered by Wharton Online, helped me gain a profound understanding of digital marketing strategies and tools. This comprehensive program covered strategic planning, content marketing, SEO, social media marketing, email marketing, PPC advertising, analytics, and conversion rate optimization. I also learned to stay up-to-date with the latest industry trends. Real-world case studies provided practical insights, ensuring a well-rounded education. Overall, the course has equipped me with the skills and knowledge to excel in the dynamic field of digital marketing, from crafting effective strategies to implementing data-driven decision-making.

Grade: 3.4 Activities and societies: Smart India Hackathon, Comparing for various college functions , Student president of information Technology Department, Industrial Visit coordinator, Cultural club leader.