Joel John
Otchere-Baffour
I am a passionate full stack developer with a knack for crafting robust and scalable web applications. With 5 years of hands-on experience, I have honed my skills in front-end technologies like React and Next.js, as well as back-end technologies like Django, MySQL, PostgreSQL, and MongoDB. My goal is to leverage my expertise to create innovative solutions that drive business growth and deliver exceptional user experiences.

About Me

I am a dedicated and versatile full stack developer with a passion for creating efficient and user-friendly web applications. With 5 years of professional experience, I have worked with a variety of technologies, including React, Next.js, Node.js, MySQL, PostgreSQL, and MongoDB. My journey in web development began with a deep curiosity for how things work, and it has evolved into a career where I continuously strive to learn and adapt to new challenges. I thrive in collaborative environments and enjoy solving complex problems to deliver high-quality solutions. Outside of coding, I enjoy staying active, exploring new technologies, and contributing to open-source projects.
Technologies
Experience
2023 - 2024
ALX Data Science Program - ALX
Analysed and visualized real world data, using Python,SQL and Power BI. Developed machine learning models to predict Movie Recommendations and Trends,.
Power BIMySqlPythonMachine LearningAWS Foundations2021 - Present
Technical Officer - CSIR-Water Research Institute
Contributed to the development of web applications using JavaScript, React.js, and Node.js. Managed databases and implemented data storage solutions using MongoDB. Worked closely with product managers to prioritize features and enhancements.
ReactDjangoOpencvScikit-LearnNumpy2018 - Present
Web Developer - Freelance
Developed web applications using JavaScript, React.js, and Node.js. Collaborated with stakeholders to define project requirements and timelines.
JavascriptReact.jsNext.jsmongoDBPostgreSQLCertifications




Projects

Portfolio Website
A personal portfolio website showcasing projects, skills, and contact information.
NextJsTailwindCSSTypscriptFramer MotionMore Details
Implementation of the MLPClassifier
A machine learning script to predict breast cancer based on the WDBC dataset
PythonScikit-LearnNumpyPandasMore Details
Tesla Stock Prediction
A random forest model to predict Tesla stock price based on historical S&P500 data scraped from Yahoo Finance
PythonScikit-LearnNumpyPandasMore DetailsGet In Touch
jobaff03@gmail.com
