Reginald C.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Product analytics

marketing analytics

predictive analytics

Top Data Types

Document

Top Task Types

Data Collection

Freelancer Overview

Data Analyst at Google. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Tableau, and Other. Education includes Doctor of Philosophy, Stanford University (2019) and Master of Science, Stanford University (2015). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection.

Labeling Experience

Data Analyst at Google

Don't discloseData Collection

Performed end-to-end data preparation work by collecting, processing, and modeling high volumes of data from multiple sources to derive analytics-ready datasets. Collaborated with engineers, product managers, and marketing analysts to establish metrics and KPIs for continuous performance monitoring and experimentation. Maintained documentation for transparency and reproducibility of data methods, assumptions, and results. • Automated data collection and reporting via Python scripts to reduce manual labor. • Ran statistical tests to measure effects of features and campaigns on user engagement and revenue. • Designed a predictive model for forecasting user retention to inform product interventions. • Mentored junior analysts on data cleaning, visualization, and analysis best practices.

2022 - Present

Data Analyst at Netflix

Data Collection

Built interactive dashboards to monitor user engagement metrics and support targeted marketing decisions by analyzing behavior across regions. Conducted A/B testing for content recommendations, applying statistical analysis to evaluate changes in engagement. Analyzed CLV and churn to guide retention strategy optimization and subscription growth. • Automated reporting pipelines with engineering partners to reduce manual data processing time. • Collaborated cross-functionally to deliver insights that informed product development and content acquisition. • Used statistical methods to quantify impact of recommendation changes. • Delivered regular insights on customer behavior using reporting and visualization outputs.

2021 - 2021

Junior Data Analyst at Uber

Data Collection

Cleaned and transformed raw transactional datasets using Python (Pandas) to prepare analytics-ready data for visualization and decision support. Performed statistical analysis for ride patterns, demand forecasting, and driver performance to improve operational dispatch outcomes. Created automated reports for recurring business reporting and used SQL to extract and analyze large database tables. • Developed automated reporting in Power BI and Excel to save significant weekly effort. • Produced data visualizations highlighting trends for quick operational assessment. • Extracted insights from large transactional databases using SQL. • Supported improved forecasting and efficiency through statistical techniques.

2019 - 2021

Associate Data Analyst at Microsoft

Data Collection

Supported enterprise stakeholders by preparing datasets, performing statistical analysis, and generating actionable insights for decision-making. Developed recurring reports and dashboards to monitor sales, customer engagement, and operational efficiency. Cleaned and standardized large volumes of transactional data to ensure accuracy and consistency for reporting. • Assisted with writing SQL queries, Python scripts, and automated macros for recurring data tasks. • Implemented data validation procedures to improve reporting accuracy. • Streamlined monthly reporting by creating automated dashboards. • Communicated data insights clearly to non-technical stakeholders.

2018 - 2019

Education

Work History