Praise Oladejo Email & Phone Number

• 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

• 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.

Abeokuta, 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.

• 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.

• 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.

Ibadan, 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