My current skillset revolves around data analytics, machine learning, and big data processing, and I’m set to pursue a Master of Science in Data Analytics at San Jose State University (2024 - 2026).
- CryptoSpark Real-Time Pipeline – Built an end-to-end AWS solution using S3 with IAM-controlled access, EC2-hosted PySpark for data processing, Spark ML for modeling, and Streamlit for interactive dashboards.
- EEG-based ADHD Detection – End-to-end ML pipeline: raw EEG preprocessing (filtering, normalization, artifact removal) → time-, frequency-, and non-linear feature extraction → feature engineering (ANOVA F-test, PCA, LDA) → model training (SVM, RF, KNN, LR) with k-fold CV, bagging, and soft-voting ensemble → performance evaluation (accuracy, precision, recall, F1, ROC-AUC)
- Emotion Detector – Created a sentiment analysis tool using Machine Learning and won a $1,000 hackathon prize.
- Business Development Associate, Scaler Academy (Jan - May 2024) – Conducted data-driven career analyses for engineers, resulting in several high-profile sales.
- Teaching Assistant, PES University (Aug - Dec 2023) – Led machine learning projects and hackathons for over 1,200 students, improving their understanding of advanced topics.
- Software Developer Intern, Multiverse Technologies (Jun - Aug 2022) – Developed frontend features and integrated data-driven solutions for dynamic dashboards.
- IBM Hackathon Winner – Won the 2022 IBM Hackathon for a sentiment analysis project deployed on IBM servers.
- Auto-Evaluation Script – Reduced grading time by 50% for over 1,200 students by automating evaluation scripts.
