Data Entry Clerk with Analytical Precision

Benson Nyambura

*********.*@*****.***

Professional Summary

Computer Science and Mathematics professional with over a decade of experience spanning instruction, data analysis, programming, and educational technology. Holds a degree in Education

(Computer Science & Mathematics) and a High School Diploma in Computer Science, with strong foundations in algorithms, programming, data systems, and quantitative analysis. Experienced in statistical modeling, data management, software tools, and analytical problem- solving. Proven ability to translate complex technical and mathematical concepts into practical, real-world applications. Skilled in remote collaboration, digital systems, and data-driven decision- making.

I. Core Technical & Professional Skills

Computer Science & Programming

• Database Fundamentals

• SQL & Relational Databases

• HTML5 & Web-Based Instructional Tools

• Code.org (CS Instruction & Curriculum Integration) Mathematics & Quantitative Methods

• Linear Algebra

• Calculus

• Discrete Mathematics

• Probability & Statistics

• College Algebra

• Mathematical Modeling

Data Analysis & Modeling

• Statistical Modeling

• Exploratory Data Analysis (EDA)

• Correlation & Regression Analysis

• Data Cleaning & Data Entry Accuracy

Software & Tools

• Microsoft Office Suite

• MATLAB

• SPSS

• Tableau

• Excel / Google Sheets (formulas, pivot tables, charts, lookup functions)

• Google workspace

Education Technology & Systems

• Blackboard

• Moodle

• Canvas

• Google Classroom

• Wayground

Certifications & Training

• Teaching with Technology

• Instructional Design

II. Applied Technical & Analytical Skills

• Data Analysis – interpreting structured and unstructured datasets

• Financial Mathematics – interest calculations, annuities, amortization

• Mathematical & Computational Modeling – solving real-world optimization problems

• Linear Programming & Resource Allocation

• Data Entry & Data Validation – maintaining high accuracy in large datasets

• Workflow Automation using spreadsheets and scripting III. Quantitative & Computational Thinking

• Logical reasoning

• Pattern recognition

• Critical thinking

• Algorithmic problem solving

• Structured problem decomposition

• Analytical decision-making

Professional Experience

Computer Science Mathematics Teacher

Baltimore City Public Schools, Baltimore, MD Aug 2020 – Present

• Deliver instruction in mathematics and foundational computer science concepts, integrating programming logic and applied problem-solving

• Design and implement curriculum incorporating data analysis, computational thinking, and real-world modeling

• Utilize digital tools and learning platforms to enhance remote and hybrid instruction

• Mentor students in STEM pathways, including computing and data-focused careers

• Collaborate with instructional teams to align curriculum with workforce and college- readiness standards

Mathematics Content Developer (Remote)

NumeriLearn Technologies, VA Mar 2017 – Sep 2019

• Developed digital mathematics and computational problem-solving curricula

• Created standards-aligned instructional content emphasizing logic, modeling, and analytical reasoning

• Collaborated with instructional designers and software teams to enhance usability and learner engagement

• Contributed to online learning systems integrating technology-based assessments Quantitative Data Analyst

Civic Metrics Consulting, MD Feb 2015 – Jan 2017

• Conducted statistical analysis and exploratory data analysis for research and policy initiatives

• Designed dashboards and analytical reports using data visualization tools

• Built data workflows to support organizational decision-making

• Communicated complex technical findings to non-technical stakeholders Education

Degree in Education (Computer Science Mathematics), 2014 Diploma in Computer Science Focus, 2018

Projects & Professional Initiatives

• Developed an interactive online tutoring platform implemented in two Baltimore-area high schools, enhancing student engagement and performance

• Applied mathematical and computational modeling techniques to transportation and logistics challenges

• Integrated data analysis tools into classroom instruction to improve analytical literacy

Contact this candidate