Product Data Scientist (Analytics) focused on turning customer and product data into decisions through SQL, Python, experimentation/statistics, and clear storytelling.
- Core: Product metrics • Funnels • Retention • Segmentation • A/B testing thinking
- Tools: SQL • Python • Power BI (plus applied NLP/ML when useful)
- Based in Toronto, Canada
- E-commerce SQL Portfolio — product-style analyses across traffic, conversion, retention, and customer behavior.
→ Repo: https://github.com/MasegoM94/ecommerce-sql-portfolio
- Survey Age Group Analysis — practical statistical testing (e.g., non-parametric + categorical association tests) framed around group differences and insights.
→ Repo: https://github.com/MasegoM94/survey-age-group-analysis
- SA Political Manifesto Topic Modeling — topic modeling (LDA) with an interactive Shiny app to explore themes.
→ Repo: https://github.com/MasegoM94/sa-political-manifesto-text-analysis
- Maven CRM Sales Challenge (Power BI) — dashboarding and business communication with a packaged report.
→ Repo: https://github.com/MasegoM94/maven_analytics_crm_sales_challenge
- Gmail Mail Analysis — Python automation for email analysis and workflow improvements.
→ Repo: https://github.com/MasegoM94/gmail-mail-analysis
- Interactive Map (Python) — interactive mapping and visual storytelling for location-based insights.
→ Repo: https://github.com/MasegoM94/interactive_map_python
A portfolio that demonstrates how I:
- define product questions and success metrics,
- analyze behavior with SQL/Python,
- validate with statistics/experiments, and
- communicate recommendations clearly (dashboards + concise writeups).