Data Scientist AI Quality & Fairness Diagnostics

RICHARD EKEM

Spring TX 214-***-**** ********@*****.*** linkedin.com/in/richardekem

SUMMARY

Data Scientist specializing in statistical diagnostics, multi dimensional failure analysis, AI/LLM evaluation, pattern detection, and root cause analytics. Strong expertise in Python, R, SQL, model validation, NLP, and AI quality assessment, with experience evaluating model and agent performance across finance, compliance, and academic domains. CORE SKILLS

Statistical Diagnostics Failure Mode Analysis Hypothesis Testing Pattern Recognition AI/LLM Evaluation NLP (BERT, RoBERTa, VADER, tidytext) Disparate Impact Analysis XGBoost Random Forest Logistic Regression Python R SQL Snowflake Tableau Power BI AWS Azure GCP GitHub/GitLab

PROFESSIONAL EXPERIENCE

TD Bank – Spring, TX (Remote)

Data Scientist III – Fair Banking Compliance Model Review Jan 2025 – Present

• Conduct multi dimensional failure analysis on AI/ML models across criteria, file types, and risk tiers.

• Perform root cause diagnostics to identify issues related to design, rubric misalignment, or data complexity.

• Execute statistical evaluations including hypothesis tests, t tests, and disparate impact analysis.

• Analyze systemic inconsistencies in MDRs, risk assessments, and explainability indices.

• Assess AI/GenAI model outputs for clustered errors and edge case failures.

• Research and recommend automation improvements for evaluation workflows. TD Bank – Spring, TX (Remote)

Data Scientist II – Fair Banking Compliance Analytics Jan 2024 – Jan 2025

• Performed prompt response evaluation and qualitative analysis of AI/GenAI model outputs.

• Conducted disparate impact testing and identified statistical patterns across multiple dimensions.

• Built Python and R workflows for anomaly detection and fairness diagnostics.

• Supported geocoding and proxy modeling for compliance evaluations. Florida Atlantic University – Boca Raton, FL

Statistical Analyst May 2021 – Jan 2024

• Built and validated ML models; performed error analysis and hyperparameter tuning.

• Applied regularization and cross validation to reduce overfitting.

• Developed NLP pipelines (tidytext, VADER, RoBERTa) and performed misclassification audits.

• Created Power BI dashboards summarizing insights, performance gaps, and error clusters.

• Developed complex SQL data extractions for modeling and reporting. Sierra Consulting Inc – Itasca, IL

Software Developer / Data Modeler Intern Jul 2020 – Apr 2021

• Diagnosed data model inconsistencies and alignment issues.

• Analyzed RESTful API integration flows to identify system level error tendencies. Ekem Art Pottery Ltd – Winneba, Ghana

Business Intelligence Analyst Feb 2015 – Jul 2017

• Conducted trend, anomaly, and performance gap analysis to support business decisions.

• Developed Tableau dashboards and SAS SQL analytics.

• Built predictive and statistical models for operational insights. StarLife Assurance Ltd – Accra, Ghana

Data Analyst Nov 2010 – Jan 2015

• Performed financial modeling and multidimensional data audits.

• Used Python, SQL, and Excel to identify systemic data issues.

• Supported actuarial pricing and risk model diagnostics. PROJECTS & DOMAIN STRENGTH

• AI/LLM Evaluation – qualitative & quantitative assessment of agent output quality, rubric alignment, and edge case detection.

• NLP – built RoBERTa/BERT models and performed text based failure audits.

• Fairness Evaluation – multi dimensional disparate impact, proxy modeling, and fairness breakdowns.

• Finance Domain – compliance analytics, model risk review, marketing model diagnostics.

EDUCATION

M.S., Statistics – Sam Houston State University (2019) B.S., Statistics & Actuarial Science – KNUST, Ghana (2010)

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