Results-oriented and highly skilled Senior Frontend Software Engineer with over 4 years of experience in the software development industry. Specializing in frontend technologies, I have a proven track record of successfully delivering innovative solutions in both the fintech and healthcare sectors. My academic background includes a Masters in Data Science, providing me with a solid foundation in leveraging data for informed decision-making. I am passionate about creating seamless user experiences and driving business growth through technology.
I specialize in creating dynamic and user-friendly websites that combine seamless functionality with visually appealing design. I bring ideas to life by crafting interactive web experiences. From responsive layouts to database integration, I am dedicated to delivering high-quality web solutions tailored to meet diverse user needs.
I specialize in developing intelligent systems that learn from data and make informed predictions or decisions. Leveraging frameworks like TensorFlow and PyTorch, I design and implement robust machine learning models for a wide range of applications. From classification and regression to advanced techniques like deep learning.
I excel in extracting meaningful insights from complex datasets to drive informed business decisions. I have a knack for uncovering patterns, performing statistical analysis, and building predictive models. From data wrangling to exploratory analysis, I'm dedicated to transforming raw information into actionable intelligence, enabling organizations to thrive in a data-driven world.
I am a dedicated professional with a passion for empowering women in technology. Currently, I serve as the Director at Women Who Code Inc. in Lagos, Nigeria, where I lead a network of over 3000 members and collaborate with 21 volunteers. In this role, I organize and coordinate tech conferences, webinars, and various events aimed at fostering a supportive and inclusive community within the tech industry.
A payment gateway application that unify payment accross africa built with HTML, CSS, Reactjs on the frontend and C#.NET on the backend
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groundbreaking Stock Telemedicine Application that harnesses the power of web technology to facilitate seamless and secure interactions between healthcare professionals and patients. Built with web technology such as React, HTML, CSS, PHP
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My recent project blends the realms of finance and natural language processing, focusing on stock prediction through the innovative application of topic modeling. Leveraging advanced techniques in NLP, particularly topic modeling algorithms, the system analyzes and extracts valuable insights from textual data associated with stocks.
See on Github