Bert (Mu-Chia) Lee Email & Phone Number

Hi there! I'm Bert, a Data Scientist with nearly 3 years of full-time experience and currently a Master's candidate in Statistics & Data Science at Yale University.🔗 Currently Seeking:🔥DS/MLE roles starting May 2024🎯 Key Contributions【User Segmentation & Targeting】Unified 300M user profiles at Disney+, enhancing targeting accuracy.【ROI & Content Analysis】Implemented Content ROI Measurement at Disney+, optimizing content strategy.【Engagement & Product Innovation】Launched Short-Form Feed at Disney+, increasing user engagement.【Personalization Techniques】Led personalization projects across Disney+ and DBS Bank, including advanced recommendation systems, boosting revenue by 25.9%.【Data-Driven Decisions】Crafted Attribution Models at Disney+, linking content engagement to financial returns.【Fraud Detection】Elevated fraud detection accuracy in financial transactions with advanced GNN.💻 Programming & Software Development【Core Programming Languages】: Python (including libraries such as Pandas, NumPy, Matplotlib, Seaborn, Sklearn, PyTorch), SQL.【Additional Languages】: C++, Java, MATLAB, SAS, R.【Version Control & OS】: Git, Linux.【Command-Line Scripting】: Shell scripting (Bash)📊 Advanced Analytics & Machine Learning【Predictive Modeling & Machine Learning Techniques】: Linear and Logistic Regression, Decision Trees, Random Forest, XGBoost, Ensemble Methods.【Clustering & Dimensionality Reduction】: K-Means, Hierarchical Clustering, ISODATA, PCA, t-SNE.【NLP & LLM】: HMM, Word2Vec, RNN, GRU, LSTM, BERT, LLAMA, GPT.【CV】: CNN, ResNet.【Reinforcement Learning】: Q-Learning, Deep Q-Networks (DQN).【Graph Neural Networks】: GCN, GraphSage, GAT.💾 Data Engineering & Big Data Technologies【Big Data Processing & Analysis】: PySpark, AWS EMR, EC2.【Data Pipeline & Workflow Automation】: AWS Data Pipeline, Apache Airflow.【Database Management & Querying】: SQL.🧪 Experiment Design & Causal Inference【Quantitative Analysis & Testing】: AB Testing, Quasi-Experimental Design Methods.【Statistical Modeling & Inference】: Probability Theory, Statistical Inference, Regression Analysis, ANOVA.📈 Data Visualization & Business Intelligence【Visualization Tools & Libraries】: Tableau, Power BI, Redash, matplotlib, seaborn, plotly, ggplot.🌐 Collaboration & AgilityCross-Functional Expertise: Worked with teams across India and Europe, leveraging Agile methods to drive efficiency and innovation.📍 Location:Based in New Haven, CT, and open to relocation.I'm open to opportunities, collaborations, or chats about data science and technology. Feel free to connect!