• Data Science and Data Analytics Certificate Program, UC Santa Cruz Silicon Valley Extension

• Python for Data Analysis: Medical cost case study, Airport case study

• Techniques: data collection, data cleaning, data analyzing, and data visualization

• Machine Learning

• Prediction of housing price using linear regression with degree-k polynomial

• Feature selection using Chi Squared Test and PCA

• Anomaly Detection in Network Data using XGBoost, GANs, and Autoencoders

• Fine-Tune of LLMs using LoRA and HuggingFace Supervised Fine-tuning Trainer (SFT)​

• Fine-Tune of embeddings using LIamaIndex + Retrieval Augmented Generation (RAG)

• GANs for Data Synthesis

• Enhancement of CGAN, DCGAN, WGAN, pix2pix and Cycle GAN for Data synthesis

• Training of the enhanced models

• Big data system design

• Designed a big data system for Twitter’s front page loading and geolocation-based emergency detection.

• Conducted business requirements analysis, functional and non-functional design, data schema design, and system workflow design.

• Knowledge of Kafka, Spark, Hadoop, and MySQL.

• Deep Learning and Artificial Intelligence

• Perceptions: CNN, DNN and Transfer learning

• NLP: RNN, LSTM, BERT and Word embedding

• Car Navigation System

• Conducted quantitative analysis of INS/GNSS availability for self-driving vehicles in urban environments.

• Evaluated the performance of high precision GNSS receivers for self-driving vehicles.