Mark Tevin

4+ Years of experience as a Data Analyst, data-driven decision-making through expert application of SQL, and Power Bi for data extraction, cleaning, and analysis. Bridge the gap between data and actionable insights with proficiency in querying and managing a wide range of databases including MySQL, PostgreSQL, and MS SQL Server. Uncover hidden insights and patterns by leveraging diverse packages like NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and compelling visualizations.

Possess a comprehensive skillset encompassing Data Modeling, Data Visualization, and Statistical Data Analysis, translating complex data into strategic business value while maintaining 100% adherence to data compliance and statutory guidelines.

Data Analyst / Data Manager at Embulbul Education & Counselling Centre (EECC) - Catholic Diocese of Ngong (2023-12 – Present)

• Leveraged Python's versatility and rich library ecosystem of Pandas, and NumPy to streamline data wrangling and analysis, resulting in efficient insights generation.
• Manage, query, and administer institutional databases and Moodle LMS data tables, supporting academic, asset, and administrative records with 100% data integrity.
• Execute scheduled system audits to detect corrupted inputs, correct data anomalies, and eliminate duplicate records across digital registries.
• Partner with internal department heads to automate examination grading pipelines and registry workflows, cutting operational processing times by 35%.
• Develop interactive dashboards and reports in Power BI, translating complex data into clear and actionable insights for stakeholders, leading to a 20% increase in data-driven decision-making across the organization.
• Provide ad-hoc analysis and reporting support to various departments, including sales, marketing, and finance, to address specific business inquiries and challenges.
• Incorporated OpenAI's GPT models into text generation and summarization tasks, improving content generation efficiency by 20%.
• Supervise automated system backups, access security tiers, and statutory record compliance in accordance with institutional data policies.
• Analyzed sales and marketing data to identify opportunities for revenue growth and cost optimization, leading to a 15% increase in sales and a 10% reduction in marketing spend.
• Maintained SQL stored procedures and functions for automation of tasks, and business logic implementation.

AI Data Operations Specialist at Pareto.AI (2025-03 – 2026-02)

• Performed AI data operations tasks involving large language model evaluation, data annotation, NLP classification, prompt testing, and quality assurance.
• Analyzed step-by-step problem-solving methods and statistical calculations in model completions to ensure analytical soundness and precision.
• Reviewed and evaluated AI-generated responses against task-specific instructions, quality standards, and evaluation criteria.
• Conducted prompt testing and analyzed model outputs to identify inconsistencies, errors, and areas requiring improvement.
• Applied structured grading and quality assurance processes to assess the quality and relevance of AI-generated responses.
• Provided annotations and constructive feedback on model outputs to support AI training and data quality improvement.
• Applied analytical thinking and careful judgment when reviewing AI-generated content and determining whether outputs met task requirements.
• Followed detailed project guidelines and evaluation procedures to support accurate and consistent data operations.
• Worked independently on AI data assignments requiring reliability, attention to detail, and adherence to deadlines.
• Contributed to human-in-the-loop AI workflows involving annotation, evaluation, and feedback.

Data Analyst at Kakamega County Water and Sanitation Company (2022-07 – 2023-12)

• Designed and implemented a data collection framework using Google Analytics and SQL, capturing user behavior data to inform website optimization efforts.
• Conducted exploratory data analysis and visualization using Tableau, uncovering key trends and patterns in customer behavior.
• Conducted data cleaning, transformation, and validation processes in Excel and Power BI to ensure data accuracy and reliability for reporting and analysis purposes, resulting in improved data quality and integrity.
• Collaborated with cross-functional teams to gather and pre-process data for analysis, including data cleaning, and data wrangling.
• Developed and maintained complex data models in Microsoft SQL Server to support financial reporting and budgeting processes, ensuring data accuracy and consistency for informed financial decisions.
• Conducted regular data analysis workshops for stakeholders, effectively translating technical concepts into actionable insights and fostering a data-driven culture within the team.
• Audited over 20,000+ consumer records within commercial databases to eliminate duplicate accounts, reconcile billing anomalies, and enforce data hygiene.

Bachelor of Business Information Technology in BBIT – Jomo Kenyatta University of Agriculture and Technology (JKUAT) (2020-09 – 2023-12)

Master of Data Science in Data Science – Open University of Kenya (OUK)