AI Engineer with less than a year in data analysis and full-stack development
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Detail-oriented and analytically driven Computer Science student with hands-on experience in data collection, SQL, Python-based data analysis, and full-stack development. Proven ability to design survey instruments, interpret complex datasets, create performance dashboards, and deliver data-driven recommendations that support business decision-making. Adept at communicating insights clearly to both technical and non-technical stakeholders. Passionate about transforming raw data into actionable intelligence to drive organizational growth.
Midlands State University (MSU)
BSc Honors · Computer Science
N/A – June 30, 2027
Topline Research Solutions
Research Assistant
January 1, 2026 – February 1, 2026
India
Lemontree Technologies
Call Agent Assistant
May 1, 2024 – July 1, 2024
India
ISP Performance Benchmarking Platform
January 1, 2024 – June 1, 2026
Engineered a full-stack web platform to collect, store, and analyze real-time network performance metrics across Zimbabwean ISPs, enabling transparent benchmarking and cost-to-performance comparisons. Built SQL-based data pipelines to aggregate and query large volumes of network data, producing structured reports and trend analyses for stakeholder consumption. Designed interactive dashboards to visualize ISP performance metrics, enabling non-technical users to interpret data trends and make informed provider decisions. Applied statistical analysis techniques to identify patterns in ISP performance data and highlight growth opportunities in underserved markets.
SHE Management System
January 1, 2024 – December 31, 2024
Built a full-stack safety and compliance management system to digitize incident reporting, audit tracking, and environmental compliance for a national fuel retailer. Designed a PostgreSQL schema to efficiently store, query, and retrieve structured compliance and incident data, supporting regulatory reporting requirements. Created automated reporting features that generated summary dashboards and compliance scorecards, reducing manual data compilation time. Ensured data accuracy and quality across all system modules through validation logic and integrity checks.
NIST Cybersecurity Framework (CSF) Foundation
Alison
June 1, 2026 – Present
Data and AI Literacy
DataCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in community initiatives like Google Developer Groups and the Millennium Fellowship, focusing on digital literacy and technology access, indicates a strong drive for impact and continuous learning. Their project diversity, ranging from ISP performance to safety management, shows adaptability and a broad interest in applying technical skills to different domains. This aligns well with a culture that values innovation, community engagement, and versatile problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and research assistant role. Their experience in coordinating data collection, tracking metrics, and presenting data-backed findings suggests good organizational and communication skills. Leadership roles in GDG and Millennium Fellowship indicate initiative, mentorship capabilities, and a collaborative spirit, which are valuable for team environments.