Data Scientist

Summary

Facilitated efficiency gains of 51% in privacy review process and developed 40+ metrics as sole Data Science POC,
resulting in 500+ Monthly Active Users (MAU) utilizing dashboards in decision making
Conducted 10+ ad-hoc analyses to identify bottlenecks in the privacy review process, leading to expansion of project
from 6 pilot members to 100+ active participants
Realized 3% improvement in closure rate by deploying Classification models including XGBoost and Random Forest
to flag out-of-scope privacy reviews earlier in the process, reducing manual efforts and improving efficiency
Reduced requirements by 45% by applying Hierarchical Clustering to standardize privacy requirements across
products including Instagram, WhatsApp, and Facebook, enabling inheritance modeling

Expectations

A Data Scientist role that allows me to help data-driven decision making by extracting insights from data.

Employment Preferences

Expected Base Salary

**0,000 USD

Academic Degree

Experience

Skills

• Python
• SQL
• Tableau
• Machine Learning
• Classification
• Regression
• Data Visualization
• Clustering
• R