Kandy W.

Key Skills

Software

Don't disclose

Top Subject Matter

Customer churn forecasting and retention analytics

Survey analytics

predictive modeling

Top Data Types

Computer Code Programming

Top Task Types

Data Collection

Freelancer Overview

Data Analyst II — Insight Analytics Group (Data preparation for AI/statistical modeling). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Science, Sam Houston State University (SHSU) (2018) and Bachelor of Science, University of Houston (2016). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection.

Labeling Experience

Data Analyst II — Insight Analytics Group (Data preparation for AI/statistical modeling)

Don't discloseData Collection

Collected, cleaned, and preprocessed large-scale client datasets (5M+ records) to ensure high data integrity for downstream modeling. Supported statistical modeling and exploratory analysis workflows that depend on preparing reliable labeled/structured inputs. Partnered with engineering teams to automate data workflows and reduce manual cleaning effort.• Ingested and cleaned raw datasets using Python and SQL for modeling readiness.• Implemented preprocessing steps including missing-value handling and data quality checks.• Produced analytics outputs and dashboards to support stakeholder decision-making.• Coordinated with engineering to automate recurring data preparation tasks.

2023 - Present

Data Scientist — Bayou City Data Solutions (Data preparation for predictive modeling and experiments)

Don't discloseData Collection

Led end-to-end data projects requiring preparation of structured survey and derived datasets for predictive modeling. Performed missing-value imputation and implemented automated data quality checks to improve reliability of model inputs. Designed statistical A/B testing frameworks that require rigorously prepared experimental data.• Handled missing values using MICE imputation and built predictive models from processed data.• Created visualizations (Power BI) for communicating trends and model-driven recommendations.• Implemented automated data quality checks and cleaning routines in R to reduce data errors.• Supported A/B testing framework design with statistical rigor for feature rollouts.

2020 - 2022

Junior Data Analyst — Texas Quantitative Research (Data preparation for analytics/modeling)

Don't discloseData Collection

Assisted with collecting and preparing structured and unstructured datasets from APIs and CSV sources for downstream time-series analysis. Supported data cleaning, transformation, and validation activities that produce model-ready analytical inputs. Developed basic visualizations to help illustrate key trends for internal review.• Collected and handled datasets from internal APIs and external CSV sources for analysis.• Performed data cleaning and transformation in Python (Pandas) for time-series preparation.• Assisted with regression model validation and generation of summary statistics reports.• Built exploratory visualizations in Matplotlib and Seaborn for internal understanding.

2018 - 2020

Education

Work History