Brett
Professional who aims at finding data scientist or data analyst opportunities, with sufficient project experience in data mining, big data, business intelligence and Large Language Models development. Strong knowledge of statistics and machine learning, and solid programming skills in Python and SQL.
Fun with Data!
What You WILL Find Here
Data
Mining
![](https://i0.wp.com/lilinduobrett.com/wp-content/uploads/2021/11/NEU.png?fit=205%2C200&ssl=1)
![](https://i0.wp.com/lilinduobrett.com/wp-content/uploads/2021/11/TJU.png?fit=205%2C200&ssl=1)
Data
Visualization
Data-Driven
Storytelling
Machine
Learning
Big Data
Deep
Learning
Business Intelligence
Large Language Models
Prompt Engineering
About Me
EDUCATION
- Northeastern University (2019.9 – 2021.12) Master of Science, Data Analytics Engineering
- Tongji University (2013.9 – 2018.6) Bachelor of Science, Geophysics
SKILLS
- Programming Language: Python, SQL, R, Matlab, C++
- Data Science: A/B Testing, Data Mining (EDA, Anomaly Detection), Feature Engineering (Encoding), ETL (Extract, Transform, Load)
- Natural Language Processing: Sentiment Analysis, Topic Modeling
- Large Language Models: GPT-4 Applications, Prompt Engineering
- Big Data: Apache Spark, MapReduce
- Machine Learning: Supervised (Linear Regression, Logistic Regression, XGBoost, etc), Unsupervised (PCA, K-Means, etc)
- Database/Warehouse: SQL Server, MongoDB, SSIS, SSAS
- Visualization: Tableau, PowerBI, Matplotlib, ggplot2, Flourish
- Data Platform: Databricks, Google Cloud Platform (GCP), SnowFlake, Amazon Web Services (AWS), AutoDL
Professional Experience
Data Scientist, BLEND360 (2022.08 – 2023.02)
- Retention Models for Top Dog Products Retail Client (GCP)
- Attribution Models for Top Pet Products Retail Client (SnowFlake, AWS)
- Recommendation System Research for BLEND360 (AutoDL)
- Natural Language Processing Research for BLEND360 (Medium)
Publications
- Liu, Z., Lin, G., Yan, Z., Li, L., Wu, X., Shi, J., … & Wang, W. (2022). Predictive mutation signature of immunotherapy benefits in NSCLC based on machine learning algorithms. Frontiers in Immunology, 13, 989275-989275.
- Liang, H., Guo, Y., Chen, X., Ang, K. L., He, Y., Jiang, N., … & Zhong, N. (2022). Artificial intelligence for stepwise diagnosis and monitoring of COVID-19. European radiology, 1-11.
I love to communicate and collaborate with data geeks. Let’s talk!
Get In Touch
- Boston, MA
- San Francisco, CA