About Me

Hello! This is Claudia Wang. A detail-oriented Data Analyst professional.

I recently completed the Master of Business Analytics from SCHULICH School of Business, York University and worked as a Data Analyst Intern at the Art Gallery of Ontario during the last eight months.

Core competencies

• Machine Learning Design (K-Nearest Neighbors, Neural Networks, Deep Learning, NLP, Reinforcement Learning, SVM, etc.)
• Statistical Analysis (Linear Regression, Logistics Regression, Hypothesis Testing, etc.)
• Strategic Analysis
• Team Collaboration
• Project Management
• Revenue Optimization
• Data Management
• Customer Relationship

Technical competencies

Python, SQL, SAS, Hadoop, MS Office (Excel, Access, PowerPoint), PySpark, Tableau, PowerBI

Certifications

• SAS Certified Specialist – Base Programming Using SAS 9.4 and Advanced Programmer for SAS 9
• Google Analytics for Beginners and Advanced Google Analytics
• Microsoft Azure Fundamentals and Delivering the Modern Data Warehouse
• Amazon Web Services (AWS) Certified Solutions Architect – Associate Candidate

My Data Science Projects

Time Series Project

M5 Forecast - Accuracy | Estimate the unit sales of Walmart retail goods

• Kaggle Code Competition: Bronze Medal, Top 7% of 5,558 Teams
• Language: Python
• Feature Engineering
• LightGBM

NLP Project

Tweet Sentiment Extraction | Extract support phrases for sentiment labels

• Kaggle Code Competition: Top 28% of 2,227 teams
• Language: Python
• BERT Model: roBERTa

Regression Project

Allstate Claims Severity | Create an algorithm accurately predicting claims severity

• Kaggle Recruitment Recruitment Prediction Competition
• Language: Python
• Feature Engineering
• XGBoost

Deep Learning Project

Bitcoin Price Prediction | Develop trading strategies for live trading

• Language: Python
• Recurrent Neural Network (RNN) model
• Linear Support Vector Machines (SVM) model
• PyTrend
• TensorTrade for Reinforcement Learning

My Data Visualization Projects

KMPG Virtual Internship | Discover potential customers to maximize values

• Analytics tools: Tableau
• Dashboards for existing customers, previous transactions and new customers
• Logistics Regression Model

Toronto Police Service (TPS) Incidents Analysis | Find better ways to dispatch incidents

• Analytics tools: Tableau
• Dashboards for the incident types and the regions the incident happened

Contact Me

Linkedin Link: LinkedIn

Email: claudiawangubc@gmail.com

Kaggle Profile: Kaggle