- Name:Alex Chen
- Email:alex.chen.grad@email.com
- Phone:(123) 456-7890
- Location:Toronto, ON (Remote-friendly)
- LinkedIn:linkedin.com/in/alexchen-data
- GitHub:github.com/alexchen-portfolio
- Portfolio:alexchendata.com (link to 2-3 key projects)
- Photo:Optional (professional headshot, 300x400px)
- Bachelor of Science in Computer Science University of Toronto | Sep 2020 – May 2024 • GPA: 3.8/4.0 (Dean’s List 2022–2023) • Relevant Coursework: Machine Learning, Statistical Inference, Database Systems, Python Programming • Thesis: “Predicting Customer Churn Using Logistic Regression” (Supervisor: Dr. Sarah Lee)
- E-Commerce Sales Forecasting Tool| GitHub: github.com/alexchen/ecom-forecast • Role:Lead Developer (team of 3) • Problem:Small retailers lacked affordable sales prediction tools. • Method:Built Python script using Pandas (data cleaning), Scikit-learn (ARIMA model), and Streamlit (dashboard). • Result:Reduced forecast error by 22% vs. Excel; deployed via Streamlit Cloud (100+ demo users). • Tools:Python, Pandas, Scikit-learn, Streamlit
- Campus Sustainability Survey Analysis| Portfolio: alexchendata.com/sustainability • Role:Data Analyst • Problem:University needed insights from 500+ student surveys on recycling habits. • Method:Cleaned data in SQL, visualized trends with Tableau (heatmaps, bar charts). • Result:Identified 3 low-cost initiatives (e.g., bin placement) adopted by campus sustainability office.
- TechStart Analytics| Junior Data Intern | Jun 2023 – Dec 2023 • Cleaned and validated 10k+ rows of customer transaction data using Excel macros and SQL. • Assisted senior analysts in building a churn prediction model (Python/Scikit-learn), improving accuracy by 15%. • Created 5 interactive dashboards (Tableau) tracking KPIs for client retention campaigns.
- Technical:Python (Pandas, NumPy, Scikit-learn), SQL, Tableau, Excel (VLOOKUP, PivotTables), Git, Streamlit
- Soft Skills:Team Collaboration (Agile/Scrum), Problem-Solving, Data Storytelling, Time Management
- Languages:English (Fluent), Mandarin (Native)
- Certificates (M8):Google Data Analytics Professional Certificate (2023), Coursera: Machine Learning by Andrew Ng (2022)
- Honors (M12):University of Toronto Dean’s List (2022, 2023), Hackathon Winner: “Best Use of AI” (2023)
1. Prioritize education and projectsover empty work experience—use metrics (e.g., “reduced error by 22%”) to prove impact. Mirror the job description—tailor skills/projects to match keywords (e.g., if a role wants “SQL,” highlight your survey analysis project). Stick to 1 A4 page—use concise bullet points, avoid jargon, and remove irrelevant modules (e.g., clinical training if not applying to healthcare). Use a clean template—download this example as a Word/Google Docs template (A4-optimized, editable fields).