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I’m Daniel Agbenyo, a junior data analyst based in Accra, Ghana, with three years of experience working with datasets, building KPI dashboards, and using SQL and spreadsheets to turn messy data into clear, actionable reporting. I’ve helped maintain high dataset accuracy (95% across 10,000+ deliveries) by auditing metrics against raw sources, identifying anomalies, and tracing issues back to the root cause. I also enjoy using testing and optimization thinking to improve outcomes, from A/B testing fundamentals to conversion-rate optimization concepts. Whether I’m analyzing e-commerce order patterns, supporting teams with tailored reports, or scoring LLM outputs against rubrics, I focus on precision, documentation, and collaboration—so stakeholders can confidently make decisions based on the numbers.…I’m Daniel Agbenyo, a junior data analyst based in Accra, Ghana, with three years of experience working with datasets, building KPI dashboards, and using SQL and spreadsheets to turn messy data into clear, actionable reporting. I’ve helped maintain high dataset accuracy (95% across 10,000+ deliveries) by auditing metrics against raw sources, identifying anomalies, and tracing issues back to the root cause. I also enjoy using testing and optimization thinking to improve outcomes, from A/B testing fundamentals to conversion-rate optimization concepts. Whether I’m analyzing e-commerce order patterns, supporting teams with tailored reports, or scoring LLM outputs against rubrics, I focus on precision, documentation, and collaboration—so stakeholders can confidently make decisions based on the numbers.

Daniel Agbenyo Junior

Data Analyst, Data Annotator, Data Visualizer, +5

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I’m Daniel Agbenyo, a junior data analyst based in Accra, Ghana, with three years of experience working with datasets, building KPI dashboards, and using SQL and spreadsheets to turn messy data into clear, actionable reporting. I’ve helped maintain high dataset accuracy (95% across 10,000+ deliveries) by auditing metrics against raw sources, identifying anomalies, and tracing issues back to the root cause. I also enjoy using testing and optimization thinking to improve outcomes, from A/B testing fundamentals to conversion-rate optimization concepts. Whether I’m analyzing e-commerce order patterns, supporting teams with tailored reports, or scoring LLM outputs against rubrics, I focus on precision, documentation, and collaboration—so stakeholders can confidently make decisions based on the numbers.…I’m Daniel Agbenyo, a junior data analyst based in Accra, Ghana, with three years of experience working with datasets, building KPI dashboards, and using SQL and spreadsheets to turn messy data into clear, actionable reporting. I’ve helped maintain high dataset accuracy (95% across 10,000+ deliveries) by auditing metrics against raw sources, identifying anomalies, and tracing issues back to the root cause. I also enjoy using testing and optimization thinking to improve outcomes, from A/B testing fundamentals to conversion-rate optimization concepts. Whether I’m analyzing e-commerce order patterns, supporting teams with tailored reports, or scoring LLM outputs against rubrics, I focus on precision, documentation, and collaboration—so stakeholders can confidently make decisions based on the numbers.

Available to hire

I’m Daniel Agbenyo, a junior data analyst based in Accra, Ghana, with three years of experience working with datasets, building KPI dashboards, and using SQL and spreadsheets to turn messy data into clear, actionable reporting. I’ve helped maintain high dataset accuracy (95% across 10,000+ deliveries) by auditing metrics against raw sources, identifying anomalies, and tracing issues back to the root cause.

I also enjoy using testing and optimization thinking to improve outcomes, from A/B testing fundamentals to conversion-rate optimization concepts. Whether I’m analyzing e-commerce order patterns, supporting teams with tailored reports, or scoring LLM outputs against rubrics, I focus on precision, documentation, and collaboration—so stakeholders can confidently make decisions based on the numbers.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Analyst at Tween Technologies (Remote)

March 1, 2026 - August 31, 2026

Analyzed business data across multiple teams and produced KPI dashboards in Excel and Tableau. Wrote SQL to pull and join datasets behind each dashboard, and audited reported metrics against raw data to detect anomalies and root causes (including issues from joins, filters, and time windows). Gathered reporting requirements with team leads and adjusted outputs so each team could use the same metrics effectively. Maintained up-to-date documentation of queries, reports, and methodology in Git to support reproducibility.

AI Trainer, Large Language Model (LLM) Evaluation at Micro1 (Remote)

August 1, 2025 - March 31, 2026

Scored AI model outputs against rubrics covering accuracy, relevance, coherence, and safety. Adapted quickly to new rubrics and task types, and documented common failure patterns so engineers could reproduce issues and improve model behavior.

AI Trainer — LLM Evaluation at Micro1

August 1, 2025 - Present

Serve as a critical human-in-the-loop across the full LLM training and evaluation lifecycle—from dataset creation through post-deployment quality assessment—shaping model behavior, safety, and alignment for production-grade large language models. Conduct Side-by-Side (SxS) evaluation of AI-generated outputs using structured rubrics to assess accuracy, relevance, coherence, instruction-following, tone, and safety; generate preference signals used in RLHF pipelines. Design, stress-test, and refine prompts across diverse domains and edge cases; identify failure modes, ambiguous outputs, and policy violations; provide actionable feedback to ML engineering teams for rapid iteration. Author and curate high-quality training datasets; execute scenario-based testing; and produce structured evaluation reports that track model improvement metrics.

Data Annotations Specialist at Aya Data

August 1, 2025 - August 1, 2025

Delivered precision annotations across diverse datasets improving accuracy by 15% through structured feedback and quality assurance. Specialized in advanced labeling strategies and contributed to high-impact AI/ML projects ensuring high-quality datasets for client success.

AI Data Specialist, Annotation and Model Training at Aya Data (Remote)

November 1, 2023 - August 31, 2025

Performed dataset QA reviews on peer annotations to maintain 95% dataset accuracy across 10,000+ deliveries. Resolved ambiguous labeling cases in coordination with project managers and machine learning engineers while meeting client deadlines. Promoted from Data Annotation Intern.

AI Data Specialist — Annotation & Model Training at Aya Data

November 1, 2023 - August 31, 2025

Delivered precision multi-modal annotations (3D models, video, image, audio, text) across enterprise AI/ML pipelines; specialized in segmentation masks, keypoints, polygons, and bounding boxes using Labelbox, V7, Cydar Medical, Open Solar, and Kognic. Contributed to model training projects spanning agricultural AI, autonomous systems, computer vision, renewable energy AI, and medical imaging; conducted QA reviews of peer annotations and enforced taxonomy compliance; collaborated with PMs and ML engineers to scope tasks and resolve edge cases under tight deadlines.

Data Annotations Intern at Aya Data

August 1, 2023 - August 1, 2023

Trained on diverse annotation techniques and platforms while embracing company values to support AI dataset preparation. Built foundational skills in data labeling for multimedia formats, contributing to team efficiency and project readiness.

Data Annotation Intern at Aya Data (Remote)

July 1, 2023 - August 31, 2023

Data Annotations Intern (Remote) at Aya Data

July 1, 2023 - August 31, 2023

Onboarded to enterprise annotation workflows and platforms (Labelbox); built foundational competency in data labeling for multimedia formats; contributed to team throughput and project readiness from the first weeks of engagement.

IT Support Intern at Social Security and National Insurance Trust (SSNIT)

October 1, 2022 - October 1, 2022

Provided comprehensive IT support, troubleshooting hardware, software, and network issues to minimize downtime. Assisted in network monitoring and user support, enhancing operational reliability.

IT Support Intern at Social Security & National Insurance Trust (SSNIT)

August 1, 2022 - October 31, 2022

Provided Tier-1 and Tier-2 IT support for a national institution; assisted in network monitoring, user account management, and system maintenance; developed a structured, process-oriented approach to problem resolution.

Manager & Data Analyst at LIPINDAN Neighbourhood Car Wash

March 1, 2020 - Present

Digitized all company records into structured spreadsheets enabling forecasting, trend analysis, and data-driven operational decisions; designed and launched a home pickup service initiative that grew customer retention by 30%, translating data insights into measurable business outcomes; managed end-to-end business operations while upskilling in data analytics.

Manager at LIPINDAN Neighbourhood Car Wash

March 1, 2020 - November 6, 2025

Digitized company records into spreadsheets, enabling advanced analysis and data-driven decision-making. Launched a home pickup service that increased customer retention by 30%.