Summary
Overview
Work History
Education
Skills
Languages
Timeline
Certification
Additional Information
Projects

Jeffrey Kwabena Opoku Asante Wiredu

Accra

Summary

Results-oriented IT Support Officer with a strong background in system performance assessment, troubleshooting, and help desk support, seeking a challenging opportunity as a Product Analyst. Leveraging expertise in data analysis, problem-solving, and technical skills to provide valuable insights and support data-driven decision-making.

Overview

4
4
years of professional experience
1
1
Certificate

Work History

IT Support Specialist

M-P Infrastructure, Ghana
10.2020 - Current
  • Provided efficient help desk support, resolving hardware and software issues for diverse user base.
  • Conducted system performance assessments and implemented troubleshooting techniques to optimize network functionality.
  • Documented incidents, solutions, and best practices to enhance knowledge sharing among team members.
  • Determined hardware and network system issues using proactive troubleshooting techniques.
  • Delivered onsite technical support for over 25 employees.
  • Collaborated with cross-functional teams to identify and resolve technical problems.
  • Provided Tier 1 IT support to non-technical internal users through desk side support services.
  • Assisted in the administration of Microsoft Active Directory, ensuring user accounts and security permissions were properly managed.
  • Translated complex technical issues into digestible language for non-technical users.

Data Science Student

Dataquest
11.2022 - Current
  • Completed comprehensive coursework in Data Science, including Python programming, SQL, and data analysis techniques.
  • Developed proficiency in utilizing Microsoft Power BI for data visualization and reporting.

IT Intern

M-P Infrastructure, Ghana
06.2019 - 08.2019
  • Supported IT department in handling technology rollout and maintenance.
  • Aided problem resolution measures and suggested patches and hardware, software and network troubleshooting alternatives.
  • Resolved Internet and wireless and wired network access problems.
  • Contributed to team environment by sitting in on meetings and brainstorming new ideas for issue resolution.
  • Shadowed personnel to learn appropriate methods for solving customer issues and troubleshooting technical problems.
  • Investigated data issues and offered suggestions for resolution to supervisor.
  • Tested systems to identify root causes to problems and uncover bugs.
  • Replaced defective components and upgraded office equipment per technology plan.
  • Monitored and logged daily server tasks and reports.
  • Helped IT team document core systems configurations, relevant passwords, and system access requirements.
  • Installed application software and upgrades, virus protection, and drivers
  • Maintained inventory records and documentation for equipment in database

Education

Bachelor of Science - Computer Engineering

Kwame Nkrumah University of Science And Technology, Kumasi, Ghana
08.2020

Skills

  • System Performance Assessment
  • Tracking and Documentation
  • Hardware and Software Repair
  • Resolving Problems and Incidents
  • Help Desk Support
  • Microsoft Active Directory
  • Microsoft Windows and Office
  • Hardware Evaluation
  • Python
  • SQL
  • Microsoft Power BI
  • Microsoft Office 365
  • Excellent analytical skills
  • Advanced knowledge of Microsoft Excel

Languages

English
Bilingual or Proficient (C2)
Akan
Upper intermediate (B2)

Timeline

Data Science Student - Dataquest
11.2022 - Current
IT Support Specialist - M-P Infrastructure, Ghana
10.2020 - Current
IT Intern - M-P Infrastructure, Ghana
06.2019 - 08.2019
Kwame Nkrumah University of Science And Technology - Bachelor of Science, Computer Engineering
  • Certificate of Completion: Python Introduction
  • Certificate of Completion: Data Analysis and Visualization
  • Certificate of Completion: Data Cleaning

Certification

  • Certificate of Completion: Python Introduction
  • Certificate of Completion: Data Analysis and Visualization
  • Certificate of Completion: Data Cleaning

Additional Information


  • Proven ability to embrace data and work with large datasets.
  • Strong analytical skills with the ability to identify patterns and problems.
  • Tech-savvy with extensive knowledge of mobile, web, and desktop applications.
  • Self-motivated and detail-oriented, committed to delivering accurate and timely results.
  • Reliable internet connectivity and stable electricity for remote work.
  • Own a functional laptop capable of meeting work demands.

Projects

 1. Profitable App Profiles for the App Store and Google Play Markets:

  • Conducted analysis on the App Store and Google Play Markets to identify app profiles with high revenue potential.
  • Utilized data from various sources to analyze user ratings, reviews, and app features.
  • Provided insights on key factors contributing to app profitability and recommended strategies for app developers.


2. Analysis of Euro-Dollar Currency Pair:

  • Analyzed historical data on the Euro-Dollar currency pair.
  • Investigated the impact of significant world events on currency rate fluctuations.
  • Provided comprehensive analysis and insights to support informed trading decisions.


3. Exit Survey Analysis for Department of Education, Training and Employment and Technical and Further Education (TAFE) Institute:

  • Cleaned and analyzed exit surveys from employees of the Department of Education, Training and Employment and TAFE Institute.
  • Investigated reasons for employee resignations based on their length of employment.
  • Explored factors influencing resignation decisions for both younger and older employees.
  • Provided recommendations for improving employee retention strategies based on findings.


4.  SAT Results Analysis for Schools in the Five Boroughs of New York 

  • Explored the relationship between location, demographics, and school performance.
  • Analyzed SAT results to understand the impact of location and demographics on academic outcomes.
  • Utilized data from multiple sources and applied statistical techniques to draw insights.
Jeffrey Kwabena Opoku Asante Wiredu