Praise Oladejo Email and Phone Number
👋 Hello! I'm Praise Oladejo, an Android Developer and Machine Learning Engineer passionate about creating intelligent and user-centric mobile applications. 📱🤖With a strong foundation in mobile app development and a deep understanding of machine learning, I thrive at the intersection of cutting-edge technology and seamless user experiences.🌟 What I Do:📱 Android Development: I specialize in crafting elegant and performant Android applications that not only look great but also provide a smooth and intuitive user experience. From concept to deployment, I'm dedicated to creating apps that users love.🤖 Machine Learning: I have a keen interest in leveraging machine learning to enhance the capabilities of mobile apps. Whether it's integrating recommendation systems, natural language processing, or computer vision, I enjoy pushing the boundaries of what's possible.🔨 Tech Stack: My toolkit includes Kotlin and Android Studio for Android development, and Python for machine learning. I'm well-versed in popular ML frameworks like Scikit-learn and Keras.🚀 Why Work With MeI thrive in collaborative environments where creativity and innovation are encouraged. I believe that technology should enhance and simplify our lives, and I'm committed to developing solutions that achieve just that.🌐 Let's Connect:Whether you're looking to collaborate on an exciting project, seeking advice on Android development or machine learning, or simply want to connect with a fellow tech enthusiast, feel free to reach out. Let's explore the endless possibilities of technology together!
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Back End DeveloperReachverse Aug 2024 - Present• Develop and maintain web applications using Python Django• Design and implement scalable server-side logic and APIs• Manage databases and ensure efficient data storage and retrieval• Collaborate with frontend developers for seamless integration• Incorporate machine learning techniques to enhance features and optimize performance• Troubleshoot and debug issues to ensure high-quality software deployment -
Data ScientistFreelance Dec 2023 - Aug 2024• Gathered and cleaned data from diverse sources.• Conducted exploratory data analysis to identify patterns and insights.• Developed machine learning models for predictive tasks.• Deployed models into production and collaborated with clients.• Drafted reports on findings and recommendations from data analysis.• Continuously improved skills and adhered to ethical guidelines.
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Python And Data Science InstructorNew Horizons Computer Learning Centers Nigeria Jun 2023 - Nov 2023Abeokuta, Ogun State, Nigeria• Deliver hands-on Python programming and data science courses to a diverse student base.• Provide one-on-one mentoring and support to students, addressing their individual learning needs and challenges.• Foster an interactive learning environment and provide personalized student support.• Stay updated with the latest Python and data science advancements for course enhancement.• Maintain a high level of student satisfaction and achievement, reflected in consistently positive feedback and successful learning outcomes. -
Android DeveloperFreelance Jan 2023 - Sep 2023• Worked on several mobile app development projects, from concept to delivery, for various clients.• Utilized Kotlin, Android Studio, and Firebase to develop high-quality Android applications that met client requirements and user needs.• Collaborated with clients and designers to ensure app’s user interface and user experience were intuitive and visually appealing.• Implemented push notifications, in-app purchases, and other features to enhance user engagement and retention.• Optimized app performance by improving code efficiency and reducing app load time.• Delivered projects on time and within budget, earning positive feedback and referrals from satisfied clients.
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Machine Learning EngineerFreelance Aug 2022 - Jan 2023• Collaborated with a colleague to develop a sentiment analysis model for Twitter data, using natural language processing techniques and machine learning algorithms to classify tweets as positive, negative, or neutral• Implemented tf-idf on news articles scraped from the web, extracting features and transforming the text data for use in machine learning models• Conducted extensive data cleaning and preprocessing to ensure the accuracy and effectiveness of the models• Analyzed and interpreted the results of the machine learning models to extract meaningful insights• Communicated findings and recommendations to the project stakeholders and presented results in a final project report• Prepared regular progress reports documenting project implementation and timeline.
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Industrial TrainingNational Institute Of Information Technology (Niit) May 2021 - Oct 2021Ibadan, Oyo State, Nigeria• Completed a machine learning training program, gaining experience with Python, Pandas,Scikit-learn, and other tools and techniques.• Completed several projects, including data collection, feature engineering, and stock priceprediction.• Worked collaboratively with other students to develop and test machine learning models forvarious applications• Contributed to the development of a machine learning pipeline including data preprocessing,feature extraction, model selection, and evaluation
Praise Oladejo Education Details
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Koladaisi University, IbadanComputer
Frequently Asked Questions about Praise Oladejo
What company does Praise Oladejo work for?
Praise Oladejo works for Reachverse
What is Praise Oladejo's role at the current company?
Praise Oladejo's current role is Machine Learning Engineer | Data Scientist | Python Programmer | Backend Developer.
What schools did Praise Oladejo attend?
Praise Oladejo attended Koladaisi University, Ibadan.
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