Machine Learning Science (Professional Development)
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Summary
Ongoing professional development and research in advanced machine learning and generative AI, focusing on practical applications and model optimization.
Highly accomplished Software Engineer and Machine Learning Scientist with 3+ years of experience developing and deploying scalable AI/ML solutions and robust backend systems. Proven ability to leverage cloud platforms (AWS, GCP, Azure) and cutting-edge technologies like LLMs, TensorFlow, and Flask to drive impactful results in data science, web development, and financial forecasting. Eager to apply expertise in full-stack development and advanced analytics to solve complex challenges in a dynamic tech environment.
Lagos, Lagos, Nigeria
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Summary
Led backend development for an open-source e-commerce platform, focusing on robust API creation and secure user authentication to enhance system functionality.
Highlights
Designed and optimized database schemas using SQLAlchemy ORM, improving data integrity and system performance by 15%.
Developed and deployed robust RESTful APIs with Flask, enabling seamless data exchange and application functionality across the platform.
Implemented secure user authorization and authentication using Auth0, reducing potential security vulnerabilities by 20%.
Utilized AWS to create and execute CI/CD pipelines from the AWS CLI, accelerating deployment cycles by 25% and ensuring continuous integration.
Data Science Intern
Lagos, Lagos, Nigeria
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Summary
Executed comprehensive data science projects, from acquisition and preprocessing to advanced modeling and forecasting, as part of a remote internship.
Highlights
Collected and integrated diverse datasets from open-data sources (UCD, Kaggle, data.gov, UN) using pandas for various Python projects.
Cleaned and preprocessed structured data with pandas, applying techniques like imputation, encoding, and scaling to ensure data quality for analysis.
Developed, trained, and evaluated machine learning regression and classification models using the Python sklearn library, achieving high predictive accuracy.
Conducted Time Series Analysis (ARMA, ARIMA, SARIMA) and forecasting using fbprophet, providing actionable insights for future trends and financial forecasting.
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Bachelor of Science (B.Sc.)
Geophysics
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Bootcamp Certificate
Programming Bootcamp (Web Development)
Courses
Web Development Fundamentals
Mobile Responsive Website Design (HTML, CSS, JavaScript)
Python, JavaScript, Data Structures, Algorithms, Object-Oriented Programming.
Flask, Express.js, RESTful APIs, SQLAlchemy ORM, Test-Driven Development (TDD).
TensorFlow, PyTorch, Scikit-learn, Deep Learning, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLMs), Parameter Efficient Fine-tuning (PEFT), Generative AI, MLOps.
Pandas, NumPy, Matplotlib, Seaborn, Exploratory Data Analysis (EDA), Data Cleaning, Data Preprocessing, Time Series Analysis (ARMA, ARIMA, SARIMA, fbprophet), SQL.
AWS, GCP, Azure, CI/CD Pipelines, Kubernetes (k8s).
Next.js, React, HTML, CSS, Tailwind CSS.
Hugging Face, NLTK, Quantum Computing, Auth0.
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Summary
Ongoing professional development and research in advanced machine learning and generative AI, focusing on practical applications and model optimization.