• Conducted a sentiment analysis that identifies stress from 30k labeled Reddit posts by using both supervised and semi-supervised learning in Python.• Extracted features by pre-training Word2Vec, Doc2Vec and BERT embeddings with 190k unlabeled posts that capture semantic and syntactic similarity among words.• Trained XGBoost and BERT models on GCP, reaching classification accuracy of 92.74% and recall of 94.58%.• Built an web APP that can identify stress from user input using Docker and Kubernetes on GCP.

• Implemented and trained meta-learning model that deploys pre-trained BERT on high-resource datasets (MNLI, QQP, SST, QNLI) on AWS.• Applied model on low-resource datasets (CoLA, MRPC, STS-B, RTE) reaching average accuracy of 95.02%.• Leveraged fast adaptation of meta-learner in Financial NLP subarea on the task of stock price prediction using Twitter data reaching 4% improvement on accuracy compared to BERT.

• Designed optimization model for quadratic programming and linear complementarity analysis using Julia.• Upgraded algorithmic techniques to solve quadratic problems and analyzed their efficiency, reliability, and scalability.• Built polyhedral relaxation functions for non-convex sets and optimized nonlinear problems of mixed-integer.

• Developed User-based Collaborative Filtering Recommendation System by extracting & sorting dimensional-reduced data from 6k customer info with K-means clustering algorithm implemented.• Overhauled recommendation platform from receipts adopting A priori algorithm to enable dietary supplements promotion.• Structured ARIMA model that predicts lifecycle of active accounts and filtered out attrition accounts based on simulation to help retaining customer churn rate and maintaining market share of the company.

• Answered questions and/or explain general concepts to aid university housing residents in their overall comprehension of the course material through calculus.• Helped students make academic progress, while at the same time promoting independent learning, problem solving skills, and self-reliance.• Collaborated with Residence Life staff and organized math workshops to promote independent learning.

• Gathered and organized data for reports or projects. • Conducted analysis on projects and reports that require data analysis using Excel. • Created appropriate documentation in work assignments such as project enhancements and analysis documentation. Communicate effectively with group on method selection and analysis direction.