Skillz S.

Key Skills

Software

Other

Mercor

Roboflow

Top Subject Matter

Sports integrity / anti-doping analytics (performance anomaly detection)

Urban planning analytics data engineering

Operational analytics reporting and dashboarding

Top Data Types

Computer Code Programming

Text

Top Task Types

Data Collection

Computer Programming/Coding

Freelancer Overview

Graduate Research Assistant — Performance anomaly detection and benchmarking (CMU). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include FastAPI, PostgreSQL, and Redis. Education includes Master of Science, Carnegie Mellon University (2026) and Bachelor of Science, Babcock University (2022). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Graduate Research Assistant — Performance anomaly detection and benchmarking (CMU)

Built an anomaly detection platform and investigator-ready dashboard for athletics performances to support anti-doping prioritisation. Implemented and validated multiple detection methods against real-world sanctions data to enable explainable flagging and operational decision queues. Delivered tooling to audit results and compare methods for performance anomaly identification. • Labeled/curated athlete performance data slices across 2010–2025 (19k+ events) for benchmarking and method evaluation • Produced explainable anomaly flags using statistical, ML, and Bayesian detection approaches • Validated outputs against Athletics Integrity Unit sanctions records for real-world calibration • Maintained audit trails and prioritisation queues for investigators’ review workflow

2025 - Present

Data Engineering & Analytics Engineer (Contract) — data consolidation and indicator dataset preparation (MININFRA)

OtherData Collection

Built end-to-end data pipelines and consolidated datasets for an infrastructure intelligence platform to enable evidence-based urban planning. Developed a set of urban development indicators derived from construction permits and land-use records. Although not traditional annotation, the work involved preparing labeled/structured analytical datasets for downstream indicator computation and decision-making. • Transformed construction permit and land-use sources into a centralized, queryable dataset • Defined and computed 12+ urban development indicators (e.g., permit throughput, capital allocation trends) • Established repeatable pipeline workflows for indicator refresh and reporting • Coordinated data schema/modeling to support consistent analytics outputs

2025 - 2025

Software Engineer — data pipelines and reporting dashboards (National Youth Service / 21st Century Technologies)

Other

Implemented CI/CD pipelines and automated data pipeline processes that enabled reliable reporting dashboards for management and customer insights. Delivered visualization dashboards that improved decision-making and customer satisfaction outcomes. This role supported the creation of structured analytical data products and monitoring artifacts used as inputs for reporting. • Built reporting/visualization dashboards from engineered data pipelines • Improved system reliability and uptime (99.99%) for data availability feeding dashboards • Added failover protocols to ensure continuous analytics readiness • Supported operational monitoring that underpinned ongoing analytics reporting

2022 - 2023

Education

Work History