CYBERSECURITY & PENETRATION TESTING
Protecting your digital infrastructure from evolving threats with ethical hacking, system hardening, and standards-aligned audits.
What i Offer
I provide comprehensive cybersecurity services that help individuals, businesses, and organizations identify, assess, and fix vulnerabilities in their digital systems using ethical hacking tools, manual inspection, and industry-standard frameworks.
Services Included
Penetration Testing (Ethical Hacking)
Simulated real-world attacks on websites, systems, or networks to uncover:
SQL injection
Broken authentication
XSS & CSRF vulnerabilities
Privilege escalation
File inclusion and misconfiguration
Tools you can reference: Burp Suite, OWASP ZAP, Nmap, Metasploit, Wireshark
CyberPro: Offensive Security Specialist – CyberED
I did the CyberPro: Offensive Security Specialist program with CyberED, which focuses on practical, real-world cybersecurity skills.
The course covers:
Penetration Testing & Vulnerability Assessment
Network and Web Application Security
Exploitation Techniques and Red Team Operations
Social Engineering, Privilege Escalation & Post-Exploitation
Threat Analysis, Reporting, and Defensive Strategies
Through this training, I am strengthening my expertise in ethical hacking, incident response, and offensive security operations, preparing to contribute to securing digital infrastructures against modern cyber threats.ble use, backup plans, etc.)
Technical Experience Examples
I already applied many of these in your academic and project work:
Used penetration testing techniques during my ZIMSTAT internship
Applied ethical hacking principles in your Certified Cisco coursework
Designed secure login/authentication systems in full-stack apps
Conducted AI model security evaluations in your Pareto AI contract
Ranked #87 in Africa in the 2025 picoCTF cybersecurity challenge
CLOUD & IoT INTEGRATION
I design and deploy smart, cloud-connected systems that monitor, automate, and secure real-world environments.
What I Did
I developed and deployed an IoT-based Smart Industrial Safety Monitoring System (SISMS) that connected environmental sensors to a cloud-enabled dashboard for real-time safety tracking. The system monitored parameters like gas, temperature, and smoke levels triggering automated alerts and access restrictions when thresholds were exceeded.
I integrated:
Sensors (e.g., gas, temperature, humidity)
Microcontrollers (Arduino/ESP-based)
Fingerprint-based access control
Smart lighting logic
Google Cloud / Google Sheets for remote data logging
I then built a web dashboard using HTML, Bootstrap, and Chart.js to display live readings pulled directly from the cloud, enabling any authorized user to monitor conditions and access logs in real-time from anywhere.
How I Integrated the Cloud
Used Google Apps Script to fetch sensor data from connected Google Sheets and update web dashboards automatically.
Implemented Flask to handle backend logic and host cloud-based services.
Created custom admin interfaces to log access attempts, view environmental history, and control hardware remotely.
Used cloud storage and scripts to ensure continuous uptime and data availability.
Key Technologies I Used
Python (Flask, threading) for backend logic and hardware communication
Google Sheets + Google Apps Script for data storage and live feed
HTML, CSS, Bootstrap, JavaScript (Chart.js) for the dashboard
Sensor APIs & microcontrollers (analog/digital interfacing)
Cloud-based automation (email alerts, status indicators)
Impact of My Work
Enabled real-time remote safety monitoring
Reduced manual inspections through automation
Provided transparent, accessible logs for audits and investigations
Demonstrated how IoT, cloud services, and security can work together in practical, scalable systems
Why It Matters
I combine my cybersecurity foundation with software and hardware integration skills to build secure, scalable, and intelligent systems — not just proof-of-concepts. From sensors to cloud dashboards, I ensure every part of the pipeline is reliable, protected, and optimized for real-world use.
AI MODEL TRAINING & EVALUATION
I trained, tested, and fine-tuned AI models for real-world use, ensuring they were accurate, safe, and aligned with user intent.
What I Did:
I worked with Pareto AI on a 6-month contract where I trained and evaluated large language models (LLMs).
I conducted manual quality assurance for model outputs by scoring results for accuracy, coherence, tone, and relevance.
I annotated datasets, improved prompt quality, and identified failure cases like hallucinations and biased outputs.
I refined system prompts for instruction-following, classification, and conversational model types.
My Contributions:
Built evaluation prompts using Python and reviewed output consistency.
Flagged data leakage, ethical concerns, and low-quality responses.
Contributed to AI alignment goals by improving response safety and user intent detection.
Tools & Techniques I Used:
Python, Jupyter Notebooks, manual scoring sheets
Prompt engineering (zero-shot, few-shot, CoT)
AI annotation tools and evaluation dashboards
Soft skills: attention to detail, fast iteration, data quality judgment
I helped improve model performance before production rollout by supporting AI researchers with real-time QA and feedback loops.
OSINT INTELLIGENCE SYSTEMS
I built automated systems that collect, extract, and analyze data from public sources turning raw online content into searchable intelligence.
What I Did:
I developed a Flask-based OSINT monitoring system that scrapes websites and social media (Twitter, Facebook, Instagram).
I automated the download and archiving of images, videos, and text content, even from dynamically-loaded pages.
I implemented entity detection (names, dates, locations) using NLP libraries and stored the extracted data in structured formats for analysis.
I created timeline views and searchable dashboards to help users visualize and filter key updates.
My Contributions:
Enabled tracking of public communications in real-time.
Ensured deduplication, date-based filtering, and lazy-loading support for scraped media.
Designed a modular architecture that supports multi-source scraping, config-driven deployment, and future face recognition features.
Technologies I Used:
Python (Playwright, Selenium, BeautifulSoup, Flask)
Regex + spaCy for entity extraction
JSON + local archiving for storage
Chart.js and Bootstrap for web interface visualizations
I built this system to improve situational awareness for sensitive monitoring tasks where structured updates from fragmented sources are crucial.
IT and Risk Intern at ZIMSTAT
Duties and responsibilities
Conducting Risk Assessments
Monitored system performance, network activity, and access logs to detect and mitigate potential threats.
Provided first-line technical support to staff, troubleshooting hardware, software, and network-related issues.
Maintained accurate records of incidents, resolutions, and system changes for audit and compliance purposes.
WEB and Application Development
FULL-STACK DEVELOPMENT
Crafting secure, data-driven applications from front-end to back-end.
What It Means
"Full-stack development" refers to building both the front-end (what users see) and the back-end (the server, database, and logic) of a web application or system.
I did end-to-end development services that handle:
User interface and design (HTML/CSS/JavaScript/ Flutter C#.net)
Front-end logic and interaction (Bootstrap, React, Angular)
Back-end development (Python, Flask)
Database handling (SQL, Google Sheets, or Firebase)
API integrations and real-time data handling
Services I Offer Under This
Full-Stack Development
Custom Web Applications
Web dashboards (e.g., for Smart Safety Systems or OSINT)
Admin portals with login/authentication
Form-based data collection or reporting tools
Back-End API Development
REST APIs using Flask
Data processing pipelines
Authentication systems
Database Integration
Structured data with MySQL, SQLite, or Google Sheets
Real-time data monitoring (IoT sensor data, scraping outputs)
Front-End Design
Interactive layouts with HTML/CSS/JavaScript
Responsive UI using Bootstrap
Clean, fast-loading user experiences
Security-Driven Architecture
SSL/TLS integration
Access control & login systems
Data sanitization and validation
Deployment & Hosting
Host applications on platforms like Heroku, Render, or Vercel
Integrate cloud-based dashboards (Firebase, Google Cloud, etc.)
My projects Examples and Experience
ZIMSTATs Web and Application Development
Smart Industrial Safety Monitoring System
➤ Flask + JavaScript + Google Sheets + Chart.js
➤ Admin panel, real-time environmental monitoring, fingerprint accessWebsite OSINT Monitoring System
➤ Python scripts + Flask dashboard + file archiving
➤ Automated web & social media scraping, entity detection, UI for timelinesHotel Reservation / E-Commerce Platform
➤ Full-stack workflows for booking or checkout
➤ Database-driven inventory or reservation handling
CYBERSECURITY & PENETRATION TESTING
Protecting your digital infrastructure from evolving threats with ethical hacking, system hardening, and standards-aligned audits.
What i Offer
I provide comprehensive cybersecurity services that help individuals, businesses, and organizations identify, assess, and fix vulnerabilities in their digital systems using ethical hacking tools, manual inspection, and industry-standard frameworks.
Services Included
Penetration Testing (Ethical Hacking)
Simulated real-world attacks on websites, systems, or networks to uncover:
SQL injection
Broken authentication
XSS & CSRF vulnerabilities
Privilege escalation
File inclusion and misconfiguration
Tools you can reference: Burp Suite, OWASP ZAP, Nmap, Metasploit, Wireshark
CyberPro: Offensive Security Specialist – CyberED
I did currently pursuing the CyberPro: Offensive Security Specialist program with CyberED, which focuses on practical, real-world cybersecurity skills.
The course covers:
Penetration Testing & Vulnerability Assessment
Network and Web Application Security
Exploitation Techniques and Red Team Operations
Social Engineering, Privilege Escalation & Post-Exploitation
Threat Analysis, Reporting, and Defensive Strategies
Through this training, I am strengthening my expertise in ethical hacking, incident response, and offensive security operations, preparing to contribute to securing digital infrastructures against modern cyber threats.
Technical Experience Examples
I already applied many of these in your academic and project work:
Used penetration testing techniques during my ZIMSTAT internship
Applied ethical hacking principles in your Certified Cisco coursework
Designed secure login/authentication systems in full-stack apps
Conducted AI model security evaluations in your Pareto AI contract
Ranked #87 in Africa in the 2025 picoCTF cybersecurity challenge
CLOUD & IoT INTEGRATION
I design and deploy smart, cloud-connected systems that monitor, automate, and secure real-world environments.
What I Did
I developed and deployed an IoT-based Smart Industrial Safety Monitoring System (SISMS) that connected environmental sensors to a cloud-enabled dashboard for real-time safety tracking. The system monitored parameters like gas, temperature, and smoke levels triggering automated alerts and access restrictions when thresholds were exceeded.
I integrated:
Sensors (e.g., gas, temperature, humidity)
Microcontrollers (Arduino/ESP-based)
Fingerprint-based access control
Smart lighting logic
Google Cloud / Google Sheets for remote data logging
I then built a web dashboard using HTML, Bootstrap, and Chart.js to display live readings pulled directly from the cloud, enabling any authorized user to monitor conditions and access logs in real-time from anywhere.
How I Integrated the Cloud
Used Google Apps Script to fetch sensor data from connected Google Sheets and update web dashboards automatically.
Implemented Flask to handle backend logic and host cloud-based services.
Created custom admin interfaces to log access attempts, view environmental history, and control hardware remotely.
Used cloud storage and scripts to ensure continuous uptime and data availability.
Key Technologies I Used
Python (Flask, threading) for backend logic and hardware communication
Google Sheets + Google Apps Script for data storage and live feed
HTML, CSS, Bootstrap, JavaScript (Chart.js) for the dashboard
Sensor APIs & microcontrollers (analog/digital interfacing)
Cloud-based automation (email alerts, status indicators)
Impact of My Work
Enabled real-time remote safety monitoring
Reduced manual inspections through automation
Provided transparent, accessible logs for audits and investigations
Demonstrated how IoT, cloud services, and security can work together in practical, scalable systems
Why It Matters
I combine my cybersecurity foundation with software and hardware integration skills to build secure, scalable, and intelligent systems — not just proof-of-concepts. From sensors to cloud dashboards, I ensure every part of the pipeline is reliable, protected, and optimized for real-world use.
I design and deploy smart, cloud-connected systems that monitor, automate, and secure real-world environments.
What I Did
I developed and deployed an IoT-based Smart Industrial Safety Monitoring System (SISMS) that connected environmental sensors to a cloud-enabled dashboard for real-time safety tracking. The system monitored parameters like gas, temperature, and smoke levels triggering automated alerts and access restrictions when thresholds were exceeded.
I integrated:
Sensors (e.g., gas, temperature, humidity)
Microcontrollers (Arduino/ESP-based)
Fingerprint-based access control
Smart lighting logic
Google Cloud / Google Sheets for remote data logging
I then built a web dashboard using HTML, Bootstrap, and Chart.js to display live readings pulled directly from the cloud, enabling any authorized user to monitor conditions and access logs in real-time from anywhere.
How I Integrated the Cloud
Used Google Apps Script to fetch sensor data from connected Google Sheets and update web dashboards automatically.
Implemented Flask to handle backend logic and host cloud-based services.
Created custom admin interfaces to log access attempts, view environmental history, and control hardware remotely.
Used cloud storage and scripts to ensure continuous uptime and data availability.
Key Technologies I Used
Python (Flask, threading) for backend logic and hardware communication
Google Sheets + Google Apps Script for data storage and live feed
HTML, CSS, Bootstrap, JavaScript (Chart.js) for the dashboard
Sensor APIs & microcontrollers (analog/digital interfacing)
Cloud-based automation (email alerts, status indicators)
Impact of My Work
Enabled real-time remote safety monitoring
Reduced manual inspections through automation
Provided transparent, accessible logs for audits and investigations
Demonstrated how IoT, cloud services, and security can work together in practical, scalable systems
Why It Matters
I combine my cybersecurity foundation with software and hardware integration skills to build secure, scalable, and intelligent systems — not just proof-of-concepts. From sensors to cloud dashboards, I ensure every part of the pipeline is reliable, protected, and optimized for real-world use.
AI MODEL TRAINING & EVALUATION
I trained, tested, and fine-tuned AI models for real-world use, ensuring they were accurate, safe, and aligned with user intent.
What I Did:
I worked with Pareto AI on a 6-month contract where I trained and evaluated large language models (LLMs).
I conducted manual quality assurance for model outputs by scoring results for accuracy, coherence, tone, and relevance.
I annotated datasets, improved prompt quality, and identified failure cases like hallucinations and biased outputs.
I refined system prompts for instruction-following, classification, and conversational model types.
My Contributions:
Built evaluation prompts using Python and reviewed output consistency.
Flagged data leakage, ethical concerns, and low-quality responses.
Contributed to AI alignment goals by improving response safety and user intent detection.
Tools & Techniques I Used:
Python, Jupyter Notebooks, manual scoring sheets
Prompt engineering (zero-shot, few-shot, CoT)
AI annotation tools and evaluation dashboards
Soft skills: attention to detail, fast iteration, data quality judgment
I helped improve model performance before production rollout by supporting AI researchers with real-time QA and feedback loops.
OSINT INTELLIGENCE SYSTEMS
I built automated systems that collect, extract, and analyze data from public sources—turning raw online content into searchable intelligence.
What I Did:
I developed a Flask-based OSINT monitoring system that scrapes embassy websites and social media (Twitter, Facebook, Instagram).
I automated the download and archiving of images, videos, and text content, even from dynamically-loaded pages.
I implemented entity detection (names, dates, locations) using NLP libraries and stored the extracted data in structured formats for analysis.
I created timeline views and searchable dashboards to help users visualize and filter key updates.
My Contributions:
Enabled tracking of government/public communications in real-time.
Ensured deduplication, date-based filtering, and lazy-loading support for scraped media.
Designed a modular architecture that supports multi-source scraping, config-driven deployment, and future face recognition features.
Technologies I Used:
Python (Playwright, Selenium, BeautifulSoup, Flask)
Regex + spaCy for entity extraction
JSON + local archiving for storage
Chart.js and Bootstrap for web interface visualizations
I built this system to improve situational awareness for sensitive monitoring tasks where structured updates from fragmented sources are crucial.
FULL-STACK DEVELOPMENT
Crafting secure, data-driven applications from front-end to back-end.
What It Means
"Full-stack development" refers to building both the front-end (what users see) and the back-end (the server, database, and logic) of a web application or system.
I did end-to-end development services that handle:
User interface and design (HTML/CSS/JavaScript/Flutter, C#.net)
Front-end logic and interaction (Bootstrap, React Angular)
Back-end development (Python, Flask)
Database handling (SQL, Google Sheets, or Firebase)
API integrations and real-time data handling
Services I Offer Under This
Full-Stack Development:
Custom Web Applications
Web dashboards (e.g., for Smart Safety Systems or OSINT)
Admin portals with login/authentication
Form-based data collection or reporting tools
Back-End API Development
REST APIs using Flask
Data processing pipelines
Authentication systems
Database Integration
Structured data with MySQL, SQLite, or Google Sheets
Real-time data monitoring (IoT sensor data, scraping outputs)
Front-End Design
Interactive layouts with HTML/CSS/JavaScript
Responsive UI using Bootstrap
Clean, fast-loading user experiences
Security-Driven Architecture
SSL/TLS integration
Access control & login systems
Data sanitization and validation
Deployment & Hosting
Host applications on platforms like Heroku, Render, or Vercel
Integrate cloud-based dashboards (Firebase, Google Cloud, etc.)
My Projects Examples and Experience
Zimstats web and aSmart Industrial Safety Monitoring System
➤ Flask + JavaScript + Google Sheets + Chart.js
➤ Admin panel, real-time environmental monitoring, fingerprint access
Embassy OSINT Monitoring System
➤ Python scripts + Flask dashboard + file archiving
➤ Automated web & social media scraping, entity detection, UI for timelinesHotel Reservation / E-Commerce Platform
➤ Full-stack workflows for booking or checkout
➤ Database-driven inventory or reservation handling
IT and Risk Intern at ZIMSTAT
Duties and responsibilities
Conducting Risk Assessments
Monitored system performance, network activity, and access logs to detect and mitigate potential threats.
Provided first-line technical support to staff, troubleshooting hardware, software, and network-related issues.
Maintained accurate records of incidents, resolutions, and system changes for audit and compliance purposes.
WEB and Application Development
CYBERSECURITY & PENETRATION TESTING
Protecting your digital infrastructure from evolving threats with ethical hacking, system hardening, and standards-aligned audits.
What i Offer
I provide comprehensive cybersecurity services that help individuals, businesses, and organizations identify, assess, and fix vulnerabilities in their digital systems using ethical hacking tools, manual inspection, and industry-standard frameworks.
Services Included
Penetration Testing (Ethical Hacking)
Simulated real-world attacks on websites, systems, or networks to uncover:
SQL injection
Broken authentication
XSS & CSRF vulnerabilities
Privilege escalation
File inclusion and misconfiguration
Tools you can reference: Burp Suite, OWASP ZAP, Nmap, Metasploit, Wireshark
CyberPro: Offensive Security Specialist – CyberED
I did the CyberPro: Offensive Security Specialist program with CyberED, which focuses on practical, real-world cybersecurity skills.
The course covers:
Penetration Testing & Vulnerability Assessment
Network and Web Application Security
Exploitation Techniques and Red Team Operations
Social Engineering, Privilege Escalation & Post-Exploitation
Threat Analysis, Reporting, and Defensive Strategies
Through this training, I am strengthening my expertise in ethical hacking, incident response, and offensive security operations, preparing to contribute to securing digital infrastructures against modern cyber threats.
Technical Experience Examples
I already applied many of these in your academic and project work:
Used penetration testing techniques during my ZIMSTAT internship
Applied ethical hacking principles in your Certified Cisco coursework
Designed secure login/authentication systems in full-stack apps
Conducted AI model security evaluations in your Pareto AI contract
Ranked #87 in Africa in the 2025 picoCTF cybersecurity challenge
AI MODEL TRAINING & EVALUATION
I trained, tested, and fine-tuned AI models for real-world use, ensuring they were accurate, safe, and aligned with user intent.
What I Did:
I worked with Pareto AI on a 6-month contract where I trained and evaluated large language models (LLMs).
I conducted manual quality assurance for model outputs by scoring results for accuracy, coherence, tone, and relevance.
I annotated datasets, improved prompt quality, and identified failure cases like hallucinations and biased outputs.
I refined system prompts for instruction-following, classification, and conversational model types.
My Contributions:
Built evaluation prompts using Python and reviewed output consistency.
Flagged data leakage, ethical concerns, and low-quality responses.
Contributed to AI alignment goals by improving response safety and user intent detection.
Tools & Techniques I Used:
Python, Jupyter Notebooks, manual scoring sheets
Prompt engineering (zero-shot, few-shot, CoT)
AI annotation tools and evaluation dashboards
Soft skills: attention to detail, fast iteration, data quality judgment
I helped improve model performance before production rollout by supporting AI researchers with real-time QA and feedback loops.
OSINT INTELLIGENCE SYSTEMS
I built automated systems that collect, extract, and analyze data from public sources turning raw online content into searchable intelligence.
What I Did:
I developed a Flask-based OSINT monitoring system that scrapes embassy websites and social media (Twitter, Facebook, Instagram).
I automated the download and archiving of images, videos, and text content, even from dynamically-loaded pages.
I implemented entity detection (names, dates, locations) using NLP libraries and stored the extracted data in structured formats for analysis.
I created timeline views and searchable dashboards to help users visualize and filter key updates.
My Contributions:
Enabled tracking of government/public communications in real-time.
Ensured deduplication, date-based filtering, and lazy-loading support for scraped media.
Designed a modular architecture that supports multi-source scraping, config-driven deployment, and future face recognition features.
Technologies I Used:
Python (Playwright, Selenium, BeautifulSoup, Flask)
Regex + spaCy for entity extraction
JSON + local archiving for storage
Chart.js and Bootstrap for web interface visualizations
I built this system to improve situational awareness for sensitive monitoring tasks where structured updates from fragmented sources are crucial.
CLOUD & IoT INTEGRATION
I design and deploy smart, cloud-connected systems that monitor, automate, and secure real-world environments.
What I Did
I developed and deployed an IoT-based Smart Industrial Safety Monitoring System (SISMS) that connected environmental sensors to a cloud-enabled dashboard for real-time safety tracking. The system monitored parameters like gas, temperature, and smoke levels triggering automated alerts and access restrictions when thresholds were exceeded.
I integrated:
Sensors (e.g., gas, temperature, humidity)
Microcontrollers (Arduino/ESP-based)
Fingerprint-based access control
Smart lighting logic
Google Cloud / Google Sheets for remote data logging
I then built a web dashboard using HTML, Bootstrap, and Chart.js to display live readings pulled directly from the cloud, enabling any authorized user to monitor conditions and access logs in real-time from anywhere.
How I Integrated the Cloud
Used Google Apps Script to fetch sensor data from connected Google Sheets and update web dashboards automatically.
Implemented Flask to handle backend logic and host cloud-based services.
Created custom admin interfaces to log access attempts, view environmental history, and control hardware remotely.
Used cloud storage and scripts to ensure continuous uptime and data availability.
Key Technologies I Used
Python (Flask, threading) for backend logic and hardware communication
Google Sheets + Google Apps Script for data storage and live feed
HTML, CSS, Bootstrap, JavaScript (Chart.js) for the dashboard
Sensor APIs & microcontrollers (analog/digital interfacing)
Cloud-based automation (email alerts, status indicators)
Impact of My Work
Enabled real-time remote safety monitoring
Reduced manual inspections through automation
Provided transparent, accessible logs for audits and investigations
Demonstrated how IoT, cloud services, and security can work together in practical, scalable systems
Why It Matters
I combine my cybersecurity foundation with software and hardware integration skills to build secure, scalable, and intelligent systems — not just proof-of-concepts. From sensors to cloud dashboards, I ensure every part of the pipeline is reliable, protected, and optimized for real-world use.
FULL-STACK DEVELOPMENT
Crafting secure, data-driven applications from front-end to back-end.
What It Means
"Full-stack development" refers to building both the front-end (what users see) and the back-end (the server, database, and logic) of a web application or system.
I did end-to-end development services that handle:
User interface and design (HTML/CSS/JavaScript, Flutter, C# .net)
Front-end logic and interaction (Bootstrap, React, Angular)
Back-end development (Python, Flask)
Database handling (SQL, Google Sheets, or Firebase)
API integrations and real-time data handling
Services I Offer Under This
Full-Stack Development
Custom Web Applications
Web dashboards (e.g., for Smart Safety Systems or OSINT)
Admin portals with login/authentication
Form-based data collection or reporting tools
Back-End API Development
REST APIs using Flask
Data processing pipelines
Authentication systems
Database Integration
Structured data with MySQL, SQLite, or Google Sheets
Real-time data monitoring (IoT sensor data, scraping outputs)
Front-End Design
Interactive layouts with HTML/CSS/JavaScript
Responsive UI using Bootstrap
Clean, fast-loading user experiences
Security-Driven Architecture
SSL/TLS integration
Access control & login systems
Data sanitization and validation
Deployment & Hosting
Host applications on platforms like Heroku, Render, or Vercel
Integrate cloud-based dashboards (Firebase, Google Cloud, etc.)
My Projects Examples and Experience
ZIMSTATs wed and application development
Smart Industrial Safety Monitoring System
➤ Flask + JavaScript + Google Sheets + Chart.js
➤ Admin panel, real-time environmental monitoring, fingerprint accessEmbassy OSINT Monitoring System
➤ Python scripts + Flask dashboard + file archiving
➤ Automated web & social media scraping, entity detection, UI for timelinesHotel Reservation / E-Commerce Platform
➤ Full-stack workflows for booking or checkout
➤ Database-driven inventory or reservation handling
IT and Risk Intern at ZIMSTAT
Duties and responsibilities
Conducting Risk Assessments
Monitored system performance, network activity, and access logs to detect and mitigate potential threats.
Provided first-line technical support to staff, troubleshooting hardware, software, and network-related issues.
Maintained accurate records of incidents, resolutions, and system changes for audit and compliance purposes.
WEB and Application Development
Available
Available