Dennis M.

Key Skills

Software

Don't disclose

Top Subject Matter

AI fundamentals and analytics training

Web development training (HTML/CSS/JavaScript)

Data science analytics practice

Top Data Types

Text

Top Task Types

Data Collection

Freelancer Overview

Data Analyst Mentor (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Python. Education includes Bachelor of Science, KCA University (2022) and Diploma, Moringa School (2025). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and Data Collection.

Labeling Experience

Web Development Trainer (Kids Program)

Don't disclose

Delivered web development training to beginners through structured lessons and project-based learning. Taught foundational skills in HTML, CSS, and basic JavaScript while encouraging logical thinking and problem-solving. Simplified technical concepts to make programming approachable for children. • Trained children in HTML, CSS, and basic JavaScript • Used project-based learning to build reasoning and problem-solving • Adapted explanations for beginner comprehension • Focused on practical coding fundamentals for early learners

2025 - Present

Data Analyst Mentor (Remote)

Don't disclose

Provided AI and data analytics mentoring to help learners understand data workflows and produce accurate reporting outputs. Conducted training sessions focused on Excel, SQL, Python, Power BI, and Tableau for analysis and visualization practice. Reviewed dashboards to ensure accuracy, clarity, and business relevance for downstream use. • Mentored junior analysts on data analysis, visualization, and reporting • Trained learners on analytics tools (Excel/SQL/Python/Power BI/Tableau) • Supported understanding of AI concepts and how data is used in workflows • Validated dashboards for correctness and usefulness

2025 - Present

Data Science & Analytics Participant

TextData Collection

Worked on real-world data science and analytics tasks using datasets that required cleaning, analysis, and visualization. Applied Python and statistical techniques to derive insights from the data for practical use. Supported learning and execution of standard analytics workflows on unfamiliar datasets. • Cleaned and analyzed real-world datasets • Performed visualization using analytics outputs • Used Python and statistical methods to generate insights • Followed data processing and analysis procedures for study projects

2022 - 2024

Education

Work History