Skills
Opeyemi Taiwo Adeniran is a Software engineer, Data Scientist and Artificial Intelligence researcher who is passionate about solving organizational and community problems through artificial intelligence.
Education & Professional Experience
Education
Doctor of Engineering
Jan 2024 - Dec, 2026
Morgan State University, Maryland, USA
Master's in Computer Science
Jan 2022 - Dec, 2023
Morgan State University, Maryland, USA
Bachelor of Computer Engineering
Feb 2010 - Dec 2015
Ladoke Akintola University of Technology, Oyo, Nigeria
Masters Thesis
Title
Early Detection of Alzheimer's Disease Using an Ensemble of divers Convolutional Neural Networks and Vision Transformer.
- Publication: Processing: Proquest
Publications
Application of Explainable AI in Early Detection of Alzheimer’s Disease Using an Ensemble of Diverse CNNs and ViT on MRI Data (On going)
Comparative Analysis of Machine learning based Sentiment Analysis Classifiers: Journal: Natural Language Processing Journal (Ongoing)
The Impact of Experiment-Centered Pedagogy (ECP) on Computer Science Education: A Focus on Digital Logic Courses. Publisher: IEEE Education Society (Ongoing)
Initial Impact of Evidence-based and Experiment-focused Teaching Approach in a Computer Architecture Course in Computer Science. Publisher: Computational Science & Computational Intelligence (CSC1)
Preliminary Experience and Impact of Experiment-focused Teaching Approach in a Computer Architecture Course in Computer Science. Publisher: American Society for Engineering Education (ASEE)
Utilization of Inexpensive, Safe, and Portable Electronic Instrumentation System to Increase Students' Performance in Multiple Stem Disciplines. Publisher: American Society for Engineering Education (ASEE)
Unity Products and Teamwork Output (UPATO) of Homefront Factors on Experiment-Centric Pedagogy (ECP) in Seven STEM Disciplines at Morgan State University (MSU).
Performance Analysis of selected medical image segmentation algorithms.
lagos-nigeria-ai-for-unemployment
ML / AI Projects
Developed a Python script for automating the download and processing of YouTube video content, enhancing it for advanced analysis and summarization. Employing OpenCV for video manipulation, Pytube for YouTube video downloading, and OpenAI's GPT-3 for natural language processing, the script transforms video frames into an analyzable format and generates descriptive summaries of the video content. Click to view my projects on GitHub
Developed and executed advanced SQL queries using Apache Spark to analyze temporal shifts in global carbon emissions and temperatures, capitalizing on Spark's robust in-memory data processing for enhanced efficiency. Utilized Plotly for dynamic visualization, effectively illustrating critical trends and variations in greenhouse gas emissions and temperature from 1990 to 2013 across multiple countries and regions within the OECD dataset. Click to view my projects on GitHub
Utilized Linear regression and Random Forest models to analyze the impact of calorie intake, cigarette consumption, income group, and region on life expectancy, achieving an accuracy of 90%, in a data-driven project that leveraged datasets from the World Bank, Human Progress, and Kaggle. Click to view my projects on GitHub
Integrated Python's hvplot and scikit-learn libraries for advanced data visualization and machine learning to perform cluster analysis on cryptocurrency market data, optimizing the process with Principal Component Analysis (PCA) for insightful and efficient feature reduction. Click to view my projects on GitHub
Engineered a logistic regression model in Python using scikit-learn to predict website purchase outcomes based on visitor behavior, achieving 88.7% accuracy on test data with comprehensive performance metrics including confusion matrix and classification report for insightful analytics. Click to view my projects on GitHub
Set up a Spark environment in Google Colab, using Apache Spark 3.2.2, to perform advanced data analytics on a home sales dataset. Implemented caching and partitioning strategies to optimize query performance, achieving faster run times for aggregating average prices based on specific criteria like bedroom count, square footage, and view rating, using both cached and partitioned data in Parquet format. Click to view my projects on GitHub
Developed and executed a sentiment analysis project by merging, preprocessing, and vectorizing text data from Amazon and Yelp datasets using Python, Pandas, NLTK, and Sklearn, implemented logistic Regression and Neural Network models for classification, and evaluated model performance with accuracy metrics, achieving a significant improvement in predictive analysis. Click to view my projects on GitHub
Developed a comprehensive web scraping project using Python, involving libraries like BeautifulSoup, Pandas, and Requests, to extract, process, and analyze geographical data from a website, subsequently merging it with geospatial data for detailed neighborhood analysis in Toronto, and visualizing the results using Folium maps. Click to view my projects on GitHub
"I developed and deployed a deep learning model for multilabel image classification, distinguishing it from traditional binary and multiclass approaches. Unlike binary (one of two classes) or multiclass (one of multiple classes) classification, this model simultaneously evaluates each image against multiple categories, assigning a probability to each class. This is achieved through the integration of several independent binary classifiers, each responsible for predicting the presence or absence of a specific class within an image. For instance, rather than simply classifying an image as 'Cat' or 'Dog', the model assesses and assigns probabilities for both 'Cat' and 'Not Cat' classes, enabling the accurate identification of images that contain multiple objects or attributes." Click to view my projects on GitHub
Used a CNN pre-trained on the ImageNet dataset and fine-tuned it to perform image classification and recognize classes it was never trained on. Click to view my projects on GitHub
I spearheaded the development of a comprehensive database schema, meticulously designing tables optimized for efficient data storage, query performance, and analytical flexibility. Following the schema design, I executed the data integration process by importing the CSV files into a PostgreSQL database. This process involved data validation, cleansing, and transformation to ensure the integrity and usability of the historical employee data within a relational database environment. Click to view my projects on GitHub
Developed a machine-learning model capable of predicting the species of a flower from an image. Utilizing the Flowers-17 dataset, which comprises 17 flower categories with 80 images per category, I embarked on a comprehensive analysis to achieve accurate classification results. Click to view my projects on GitHub
Web development Projects
SHE MODEL TECH: www.shemodeltech.com
FILOMOS GLOBAL SERVICES: www.filomosglobalservices.com
TIMELESS VENTURE GROUP: www.timelessventuregroup.com
AI Certificates
Microsoft Certified: Azure AI Fundamentals
Artificial Intelligence Foundations – Machine Learning
Data Science Professional Certificate
Introduction to Deep Learning with OpenCV
Amazon Web Services Machine Learning Essential Training
Advanced NLP with Python for Machine Learning
NLP with Python for Machine Learning Essential Training
Processing Text with Python Essential Training
Data Ingestion with Python
Deep learning: Image recognition
Neural Networks and Convolutional Neural Network Essential Training
Processing Text with Python Essential Training
Building Intelligent Chatbots on AWS
AI challenge: Preventing Online Violence Against Children in Collaboration with Save the Children
AI challenge: Solving unemployment using Artificial Intelligence
AI challenge: Transitioning Towards a Sustainable Energy System
Network Associate
Leadership Certificates
Bill George on SelfAwareness Authenticity & Leadership
Future Female Business School
Interpersonal Communication
Sustainability Strategies
Community Lead: Global AI Hub
Professional Certificate in Project Management (PMP)
Conferences
Presenter/Author
American Society for Engineering Education (ASEE)
Morgan State University Engineering Summer Research Symposium
Morgan TechFest Research Symposium
Computational Science & Computational Intelligence (CSC1)
Attendee
National Quantum Literacy Conference
Computer Vision and Pattern Recognition (CVPR)
National Institutes of Statistical Science: IOF Workshop: Statistical Challenges in the Analysis of Police Use of Force
National Blockchain & Fintech
Speaker
TechSoup
Rewritting the Code
MainLand Cargo Options Limited
PanAfrican Tech Foundation
Omdena Inc.
ALLINNOVAT
Click to view all my certificatesProfessional Experience
Research Assistant
Jan 2023 - Present
Morgan State University, Center for Equitable Artificial Intelligence and Machine Learning Systems
- Led the design and development of an innovative automated analysis system for multi-perspective security video feeds, utilizing advanced prompting techniques and large language models (LLMs) such as GPT-4.0 to extract and convert video frames into descriptive text.
- Automated the process of generating detailed video descriptions by employing advanced prompting techniques like Least-To-Most, ReAct, Iterative, Chain- of-Thought, Self-Consistency, Sequential, and Meta Prompting, ensuring the accurate identification of relevant information for forensic analysis.
- Implemented an automated scoring system to assess the frequency of relevant forensic keywords in descriptions generated by different prompting techniques.
- Evaluated and optimized various prompting methods to enhance the accuracy and relevance of forensic keyword generation.
- Currently publishing findings and methodology in an internal report, providing actionable insights for further research and practical application in security scenarios.
Graduate Research Assistant
Morgan State University
January 2022 - December 2023
Master's Thesis: Awarded by IBM
- Implemented explainable AI methods such as gradient-weighted class activation mapping (GradCAM), local interpretable model-agnostic explanations (LIME), saliency maps, and visualization of voting outcomes and error analysis, elucidating the decision-making processes of each model and enhancing transparency and interpretability in the classification of 70,000 MRI images on Google Cloud for early detection of Alzheimer's Disease.
- Implemented explainable AI methods such as gradient-weighted class activation mapping (GradCAM), local interpretable model-agnostic explanations (LIME), saliency maps, and visualization of voting outcomes and error analysis elucidating the decision-making processes of each model, enhancing transparency and interpretability in the classification of 40,000 MRI images for early detection of Alzheimer's Diseases.
Awarded by NSF
- Instructed 30 computer science students through a three-semester series using an Experiment-Centric Pedagogy (ECP) approach, focusing on core topics such as multiplexers, full adders, subtracters, and logic gates.
- Utilized SPSS and Excel for comprehensive data analysis, revealing marked improvements in student understanding, engagement, motivation, and cognitive abilities through qualitative and quantitative assessments.
- Engineered foundational computer system circuits, including multiplexers, logic gates, full adders, and subtractors, utilizing breadboards, jumper wires, and LEDs from scratch. These custom-built circuits were leveraged as demonstrative tools to effectively teach computer science students fundamental principles of computer system operation.
- Authored 4 research papers detailing the positive impact of ECP on student performance, motivation, and cognitive skill development, contributing to the academic literature on effective pedagogical strategies.
Application Development Analyst
June 2023 - August 2023
Lincoln Financial Group, Radnor, PA
- Engineered automation scripts for database applications, optimizing the migration process of extensive datasets to the AWS cloud environment, thereby increasing efficiency and data management capabilities.
- Worked with the team to diagnose and resolve web application issues, such as errors in loading and document uploading to the cloud, utilizing JavaScript to enhance functionality and user experience.
- Participated in daily stand-up meetings to share progress on learning objectives, tasks, and to gain insights into team members' challenges and solutions, fostering a collaborative work environment.
Machine Learning Engineer
Aug 2020 - December 2021
Omdena Inc., New York, NY
- Directed team of 40 machine learning experts to develop and deploy machine learning model using clustering techniques that pinpointed regions with high electricity demand and correlated population density using 774 VIIRS DNB nighttime raster images dataset
- Led a team of 20 machine learning professionals to develop a machine learning recommendation system using content-based filtering techniques to align job opportunities with graduate profiles, enhancing employment matching precision.
- Elevated to AI Evangelist and secured scholarships worth $500,000. These funds were instrumental in advancing educational initiatives in artificial intelligence.
- Spoke on global platforms with a focus on educating and inspiring individuals about career opportunities and in improving business productivity.
- Orchestrated collaborative efforts with 47 international AI engineers to successfully develop an Amazon Lex-powered chatbot addressing online child abuse education for children.
- Oversaw the entire development life cycle, fostering cross-cultural teamwork and leveraging Amazon Lex for robust natural language processing, enhancing the chatbot's educational capabilities.
- Spearheaded the design and delivery of a comprehensive deep learning course, equipping community members with practical insights into AI project leadership and launching a career in data science.
- Facilitated engaging sessions on deep learning principles, emphasizing hands-on applications, while also providing mentorship on effective project management and navigating the dynamic landscape of data science.
AI Engineer
Sept 2021 - Nov 2021
Infinion Technologies, Ikeja, Lagos
- Engineered and implemented a chatbot for a real estate agency, streamlining apartment rental and purchase processes with BotFramework, PostgreSQL, and Azure, boosting user interaction and streamlining operational workflows.
- Served as the intermediary between data science and software development teams, ensuring clear communication and collaboration for project alignment and success.
- Regularly conducted presentations for business developers and software development teams, sharing insights and progress on AI projects and fostering a collaborative understanding of the integration of AI in software solutions during weekly meetings.
Data Scientist
July 2019 - August 2021
Tech4Dev, Ikeja, Lagos
- Designed an interactive Tableau dashboard to enhance project management by integrating real-time data for optimizing resource allocation and leave scheduling, leading to improved internal communication and operational efficiency.
- Utilized Python and Pandas for data analysis, converting dates, calculating averages, and identifying late loan repayments within a financial dataset to drive strategic business decisions.
- Analyzed complex data using SQL with Pandas to visualize key business metrics, including customer spending patterns, product preferences, geographical sales distribution, top-selling products, supplier contributions, and employee sales performance, for strategic business insights.
- Implemented indexing strategies and query optimizations, leading to a more responsive and scalable database infrastructure.
- Developed comprehensive documentation for data analysis processes, ensuring knowledge transfer and promoting a standardized approach to data-related tasks.
- Improved overall data accessibility, facilitating more comprehensive analyses and fostering a data-centric approach to decision-making.
- Leveraged Python libraries such as Scikit-learn for model training and evaluation, fostering data-driven decision-making.
- Collaborated with a cross-functional team to contribute to the development of machine learning models for predicting customer behavior and optimizing marketing strategies.
- Developed and implemented automated data cleaning processes using Python and Pandas, streamlining the preparation of datasets for analysis. Significantly reduced data preprocessing time and enhanced accuracy, ensuring reliable inputs for subsequent analytical tasks.
- Applied SQL optimization techniques to enhance database performance, reducing query execution times and improving overall system efficiency.
Faculty (Software) Instructor
September 2018 - June 2019
Aptech Computer Education (Idea Konsult), Ibadan, Oyo
- Instructed and mentored over 200 students in web development, utilizing JavaScript, CSS, and HTML. Delivered a comprehensive curriculum covering foundational concepts to advanced applications, guiding students to acquire hands-on skills and practical knowledge.
- Designed and executed extensive courses in C, C++, and C#, focusing on nurturing students' proficiency in software development. Empowered students to establish a robust foundation in these programming languages, positioning them for success in software development careers.
- Collaborated with faculty members to strategize, organize, and oversee student projects, emphasizing the practical application of theoretical knowledge. Ensured students gained valuable real-world experience, enhancing their learning and preparing them for future professional challenges.
- Utilized innovative teaching methods and technology to enhance the learning experience, incorporating interactive elements and project-based assessments to gauge student comprehension and progress.
- Implemented continuous improvement initiatives in course content and delivery, staying abreast of industry trends and integrating relevant updates to ensure students were well-prepared for the evolving demands of the field.
- Fostered a positive and inclusive learning environment, addressing individual learning needs and providing constructive feedback to enhance student performance and engagement.
Web Developer
November 2017 - August 2018
Filomos Global Services, Ibadan, Oyo
- Led the initiation and supervision of the company website's development and administration, leveraging HTML, CSS, JavaScript, and Bootstrap to establish an online identity.
- Ensured the website stayed current by consistently integrating new content in alignment with the company's dynamic requirements and updates.
- Executed regular maintenance tasks and implemented design updates to enhance the website's functionality and visual appeal.
- Executed routine maintenance tasks to ensure the website's optimal performance and implemented design updates for enhanced functionality and visual appeal.
- Employed analytical skills to assess user engagement metrics and website performance, informing data-driven strategies for continuous improvement.
- Collaborated cross-functionally to gather and prioritize feedback from stakeholders, ensuring the website aligned with the company's goals and optimized the user experience.
- Enhanced user experience by implementing responsive web design and optimizing website performance.
- Streamlined website maintenance tasks for increased efficiency and improved site functionality.
- Increased website traffic through search engine optimization strategies and targeted content creation.
IT Support Specialist
December 2016 - October 2017
Internal Revenue Service, Calabar, Calabar
- Generated unique Tax Identification Numbers for taxpayers, ensuring accurate and individualized identification for each client.
- Troubleshot hardware and network systems, ensuring consistent availability of data services and minimizing system downtime.
- Performed database searches of taxpayers, meticulously keeping track of records to prevent duplicate Tax Identification Number generation.
- Developed and maintained comprehensive documentation outlining the Tax Identification Number generation process, facilitating efficient training for new team members and ensuring consistent adherence to compliance standards.
- Implemented proactive monitoring protocols for hardware and network systems, identifying potential issues before they escalate and ensuring seamless data service operations.
Computer Hardware Engineer
May 2016 - November 2016
Idea Konsult Limited, Ibadan, Oyo
- Served as the primary expert in diagnosing issues across a variety of devices, including laptops, desktops, printers, and biometric systems. Ensured swift resolution of issues to maintain optimal operational efficiency, significantly reducing downtime.
- Specialized in the meticulous repair and assembly of laptops, desktops, and printers, ensuring each device operated at its highest potential. Devices under my care consistently achieved optimal performance, enhancing user experience and device longevity.
- Exhibited proficiency in troubleshooting software installations, ensuring systems were free of conflicts and ran smoothly. Expertly handled software installations, aligning them with device capabilities and user requirements, for seamless operation.
- Collaborated with the sales team to assist customers in understanding their computing device needs, providing technical advice on products, and ensuring a seamless customer experience.
- Maintained accurate tracking of computer and computing device sales, as well as monitoring repairs and returns, optimizing inventory management and contributing to efficient business operations.
- Collaborated with cross-functional teams to ensure seamless IT support during major company initiatives.
- Collaborated with cross-functional teams to ensure seamless IT support during major company initiatives.
Computer Hardware Engineer Intern
August 2014 - Febuary 2015
Idea Konsult Limited, Ibadan, Oyo
- Perform software installations, aligning them with device capabilities and user requirements, for seamless operation.
- Provided customers with insightful advice, tailored to their unique needs, enabling them to make informed purchasing decisions. Built a reputation for offering valuable, personalized guidance, which enhanced customer satisfaction and decision-making.
- Maintained meticulous records of sales transactions, ensuring data integrity. Provided a clear and detailed overview of sales performance and customer preferences, valuable for informed business strategizing.
Awards
- All
- Organisations Award
- Conferences Award
Voluntary Experience
Founder: Morgan TechFest
August 2022 - Dec 2023
Morgan State University, Maryland, USA
- Led a team of 13 students in organizing an annual student-led tech conference, designed to educate peers about the role of technology in shaping career trajectories. The conference featured panel discussions, workshops, research symposiums, and keynote sessions.
- In 2022, it attracted over 100 student attendees and representation from 8 tech giants including Microsoft, Google, Roku, Goldman Sachs, JOS, Fannie Mae, and AWS.
- The 2023 edition saw participation from 7 universities and over 120 students, with prominent companies like Bloomberg, Microsoft, Google, AWS, Kyndryl, Oracle, and Capital One were in attendance.
Founder: Favored Online
July 2018 - Present
- Founded and managed a tech empowerment initiative, orchestrating the recruitment, moderation, and facilitation of instructors, speakers, and students in diverse webinars, fostering a collaborative learning environment.
- Spearheaded IT skills training and webinars on data science, web development, and tech career pathways, directly contributing to the career advancement of over 1000 students in the information technology sector.
- Instructed web design and development, imparting expertise in HTML, CSS, JavaScript, PHP, and MySQL to enhance students' technical proficiency and creative capabilities.
Member: Rewriting the Code
December 2023 - Present
- Rewriting the Code is a non-profit organization that is changing the face of technology leadership by empowering women pursuing careers in tech to complete degree programs, build careers and impact the industry supported by a global network of women in tech.
Ambassador: Women Techmakers
Oct 2021 - Present
- Partnered with other Techmakers women ambassadors to organize yearly technology training sessions and conferences./li>
- Built and managed the global Nigeria Techmakers Ambassador website. Successfully created a digital platform that served as a central hub for information, resources, and community engagement for Techmakers Ambassadors, enhancing the program's reach and impact.
Community Lead: Global AI Hub
March 2022 - Present
Global AI Hub
- Provide mentorship for community members developing a career in Data/Artificial Intelligence.
Chapter Lead: Lagos, Nigeria
June 2021 - April 2022
Omdena Inc., New York, NY
- Develop and lead AI projects with the goal of educating people through working on real-world problems.
- Partner with NGOs, governments, and/or universities to identify the most pressing problems facing the community.