Roniance W.

Key Skills

Software

Appen

Top Subject Matter

HR attrition analysis (employee demographics and job data)

Financial risk analysis (loan default risk)

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Top Task Types

Data Collection

Freelancer Overview

HR Attrition Analysis Project (Ridev Research Company). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Power Query, Excel, and Power BI. Education includes Bachelor of Commerce, Kibabii University (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection.

Labeling Experience

Loan Default Risk Analysis Project (Horizon Financial Group)

Data Collection

Performed loan default risk dataset preparation by cleaning and merging borrower and loan performance data to support credit risk analysis. Analyzed loan characteristics and repayment outcomes by segmenting across credit score, DTI, employment status, and loan purpose. Built interactive visualizations to communicate default-rate patterns and risk drivers for stakeholder decision-making. • Cleaned and merged borrower and loan datasets • Segmented analysis by credit score, DTI, employment status, and purpose • Created visualizations (default rate, DTI scatter, purpose charts) • Delivered recommendations to VP of Risk to improve underwriting and credit scoring

2024

HR Attrition Analysis Project (Ridev Research Company)

TextData Collection

Built and maintained HR attrition analysis datasets by cleaning multi-table employee demographic and job-role data for downstream dashboarding. Performed comprehensive data quality checks and validation to ensure consistency and completeness across the 1,502-record dataset. Used Power Query and related transformation steps to structure and prepare data for analysis and visualization. • Cleaned multi-table HR data using Power Query • Conducted data validation and quality checks • Prepared dataset fields for dashboard segmentation (department, education, salary, tenure, job role, gender) • Produced insights and presented the dashboard to HR leadership

2024

Education

Work History