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Schedule Interview NowMy name is Daniel A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: JavaScript, Python, API Integration, Django, API Development, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: MEMR, Lagos Internship Management Portal, Petriz API, SLB Glossary Crawler. I am based in Ibafo, Nigeria. I've successfully completed 3 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
2 years
1 Year
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Potentially possible
Flutterwave
MEMR Interns Management Portal is a web-based platform that streamlines intern registration and management for the Ministry of Energy and Mineral Resources, Lagos State, Nigeria. It eliminates manual paperwork, allowing interns to register easily while giving administrators a dashboard to track and manage intern records. Admins can view, filter, and export intern data, track internship status, and manage profiles efficiently. The system improves internship management by automating administrative tasks, making the process smoother for both interns and administrators.
Petriz API provides endpoints for the extensive and customizable search of Petroleum related terms from a growing database of Petroleum and Energy related terminologies. Soon, quiz generation and space repetition learning features will be added. This aims at providing free to use resources for learning and integration into learning platforms for students and professionals in the Energy industry, specifically Petroleum and Petrochemicals. Overtime, the project hopes to expand into a fully-fledged energy glossary containing at least 20000 terminologies used in the energy industry.
Data mining utility for efficient search and extraction of terminologies available in the SLB glossary using Python Selenium. Features of the library include. 1. Glossary search in English or Spanish (the two languages available on the glossary site) 2. Categorize terms based on grammatical label (noun, adjective, etc). 3. Complex search using available search filters like startswith, topics, etc. cleaning and representing search results in an appropriate data structure. 4. Extraction of glossary metrics and utility for saving extracted data in different formats, e.g. xlsx, txt, csv and json.
Bachelor's degree in Petroleum engineering
2017-01-01-2022-01-01