Kenan Herbert

AI Researcher

Oakland, California, United States7 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing scalable data solutions.
Proven track record in fraud detection and income estimation.
Strong leadership in strategic planning and data-driven initiatives.

Stackforce AI infers this person is a Fintech Data Scientist with expertise in machine learning and data infrastructure.

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Skills

Core Skills

Data ScienceMachine LearningData AnalysisData Engineering

Other Skills

AIAgile MethodologiesArtificial IntelligenceBig Data AnalyticsCC++ClusteringData Lake ImplementationData Pipeline DevelopmentData Quality AssessmentDatabase DesignDatabase DevelopmentFrenchGermanInformation Management

About

Experienced data scientist with machine learning, predictive modeling, and data infrastructure expertise. Skilled in developing data-driven solutions for income estimation, fraud detection, process optimization, time-to-event analysis, and business analytics. Proven ability to develop and deploy scalable data solutions, lead strategic planning, and drive impactful insights to achieve business outcomes. Georgia Tech Alum. Preferred Tools: - Python - Apache Spark - scikit-learn - mlflow - dbt - SQL - Github - Databricks - Snowflake

Experience

Checkr, inc.

Senior Data Scientist

May 2025 – Present · 10 mos · San Francisco Bay Area

Truework

3 roles

Senior Data Scientist

Promoted

Sep 2021 – May 2025 · 3 yrs 8 mos

Developed the Income Analytics product to provide lenders signals of a borrower's ability to repay in the form of a standardized annualized income calculation and indicators of variability in month-to-month earnings.
Developed a quantile regression model for estimating incomes, which uses ensemble learning techniques in the Truework Income product to flag potential fraud, detect processing errors, and ensure income data quality before lender release.
Built a survival analysis model to predict verification success probabilities at various time horizons, optimizing internal workflows for the Truework Income product and improving customer-facing turnaround time estimates.
Lead strategic planning for the data science team across weekly, quarterly, and annual cycles.
Collaborate with leadership, manage product expectations, and drive iteration on data-driven initiatives.
Conduct customer discovery to assess project impact, prioritize initiatives, and identify opportunities to enhance Truework’s offerings.

Machine LearningPredictive ModelingData AnalysisStrategic PlanningData Science

Data Scientist

Promoted

Dec 2019 – Sep 2021 · 1 yr 9 mos

Developed the Quality Employee Profile score to assess income and employment data quality, enabling evaluation of strategic partnerships and revenue potential for Truework’s Instant product.
Built a job title standardization framework using FastText embeddings and custom parsing to improve clustering and pairwise similarity scoring, enhancing lenders’ ability to verify employer stated information against borrower stated information.
Scaled Truework’s data lake from <10 to 200+ weekly users, supporting company-wide analytics. Led office hours, assisted with ad-hoc reporting and product analysis, and maintained key company health metrics for monitoring growth and reporting to the board.
Reported progress to leadership, managed product expectations, and iterated on ad-hoc data-driven initiatives.

Data AnalysisData Quality AssessmentClusteringReportingData Science

Associate Data Scientist

May 2019 – Dec 2019 · 7 mos

Built an automated pipeline to build and train regression models using XGBoost to predict turnaround time for employment and income verifications to enable a better experience for Truework customers.
Designed and implemented Truework’s first data lake with AWS Athena, AWS Glue, Apache Airflow, and Looker.

Data Pipeline DevelopmentData Lake ImplementationRegression ModelingData ScienceData Engineering