Results-driven Analyst with 3+ years of experience leveraging advanced analytics, machine learning, and automation to drive business impact in the gaming and tech space. Proven success in building behavioral segmentation models, real-time fraud detection systems, and responsible gaming frameworks that delivered measurable improvements in revenue growth, user retention, and operational efficiency. Adept at translating complex data into actionable insights, partnering with cross-functional teams, and deploying scalable solutions using Python, SQL, AWS, and BI tools like Tableau. Known for driving 7X uplift in gross contribution through targeted campaign strategies and reducing fraud-related false positives by over 90% via model-driven approaches. Seeking to bring a data-first, user-centric mindset to innovative, high-impact analytics teams at leading tech companies.
Technical Skills
Python (Pandas, NumPy, scikit-learn)
SQL (MySQL, BigQuery)
Machine Learning (XGBoost, K-Means)
Predictive Modeling
Data Pipeline Automation
Tableau, Google Data Studio
Google Sheets API, Google Apps Script
AWS (EC2, S3, Lambda)
Cron Jobs, Slack API Integration
Real-Time Dashboarding
Analytics & Business Intelligence
Business Intelligence Reporting
KPI Tracking & Optimization
A/B Testing & Experiment Design
Behavioral Analytics & Segmentation
Responsible Gaming Analytics
Fraud Detection & Prevention
Cross-Functional Collaboration