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I’m a results-driven data analyst with a strong foundation in mathematics, statistics, and data visualization, and hands-on experience in demographic modeling, user behavior analysis, and resource forecasting. I’m proficient in Python, R, Tableau, and Excel, with a proven ability to derive actionable insights and optimize decision-making. I thrive in cross-functional teams and am passionate about using data to drive social impact and improve operations.…I’m a results-driven data analyst with a strong foundation in mathematics, statistics, and data visualization, and hands-on experience in demographic modeling, user behavior analysis, and resource forecasting. I’m proficient in Python, R, Tableau, and Excel, with a proven ability to derive actionable insights and optimize decision-making. I thrive in cross-functional teams and am passionate about using data to drive social impact and improve operations.

Tianmeng Ma

Data Analyst, Data Scientist, Data Visualizer, +2

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I’m a results-driven data analyst with a strong foundation in mathematics, statistics, and data visualization, and hands-on experience in demographic modeling, user behavior analysis, and resource forecasting. I’m proficient in Python, R, Tableau, and Excel, with a proven ability to derive actionable insights and optimize decision-making. I thrive in cross-functional teams and am passionate about using data to drive social impact and improve operations.…I’m a results-driven data analyst with a strong foundation in mathematics, statistics, and data visualization, and hands-on experience in demographic modeling, user behavior analysis, and resource forecasting. I’m proficient in Python, R, Tableau, and Excel, with a proven ability to derive actionable insights and optimize decision-making. I thrive in cross-functional teams and am passionate about using data to drive social impact and improve operations.

Available to hire

I’m a results-driven data analyst with a strong foundation in mathematics, statistics, and data visualization, and hands-on experience in demographic modeling, user behavior analysis, and resource forecasting.

I’m proficient in Python, R, Tableau, and Excel, with a proven ability to derive actionable insights and optimize decision-making. I thrive in cross-functional teams and am passionate about using data to drive social impact and improve operations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Analyst Intern at North York Harvest Food Bank – Analytics Consulting Project

January 1, 2025 - August 31, 2025

Built predictive models for monthly donation and distribution forecasting using historical data. Conducted EDA on outgoing food volumes and supply-demand dependencies. Applied XGBoost for time series forecasting, adjusting for inflation and interest rates. Excluded COVID-era anomalies (Apr 2020–Apr 2022) to avoid modeling bias from one-time relief donations (~80%). Conducted RFM segmentation to improve CRM strategy for FoodReach. Delivered stakeholder presentations and developed Excel dashboards to support ongoing operations.

Staff Intern, Economic Census at Zhenjiang Bureau of Statistics

June 1, 2023 - July 31, 2023

Conducted data collection and analysis for over 1,000 enterprises using Excel for data validation and processing, ensuring 100% census coverage. Used ArcGIS to map census boundaries and analyze geographic data, improving accuracy in regional segmentation by 95%. Automated portions of the data cleaning process with Python, reducing manual processing time by 20%. Prepared visual reports with Tableau, summarizing census findings for regional policy recommendations. Facilitated seamless communication with census teams and local officials, aligning data collection protocols and resolving discrepancies efficiently.

Data Analyst / Lead - Ontario Population Projection Model at Self-Directed Project

September 1, 2023 - December 31, 2023

Built a demographic model using R to forecast Ontario’s population from 2022 to 2068, incorporating birth, death, and migration rates. Analyzed census data using Excel to generate insights for resource planning and population trends. Visualized projections with Tableau, aligning results within 5% of Statistics Canada’s medium-growth scenario. Enhanced the model with scenario analysis, providing alternative insights for policy and infrastructure planning.

Data Analyst / Retention Analyst – Waze User Retention Analysis at Self-Directed Project

September 1, 2024 - December 31, 2024

Performed data analysis on 15,000 users with 12 variables using Python to understand churn behavior. Created derived metrics such as 'km_per_drive' and 'percent_sessions', increasing churn prediction accuracy by 18%. Conducted clustering analysis to segment users by engagement and built interactive Tableau dashboards outlining retention strategies for at-risk groups.