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