Hi, my name is

Daniel.

Intelligence, Design & Orchestration.

Finding Solutions using Intelligence, Orchestration, Research and Syntantic Sugar .py|.r|.rmd|.gs - az|aws

About Me

I like to think of myself as a rookie ascending towards mastery, over the years I have specialized in data analysis, machine learning, and orchestration. I thrive on crafting behavioral profiles, building intelligence, and orchestrating production-ready ML solutions to drive impactful business outcomes.

I also enjoy communicating about these technical topics with a diverse audiences.

**Technical Skills & Tools**

Programming Languages: Python, R, SQL, JavaScript, Googlescript
Data Analysis & Visualization: Tableau, PowerBI, ggplot2, Matplotlib, Seaborn, Plotly
Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, LightGBM
MLOps & Orchestration: ZenML, MLFlow, Kubeflow, Airflow, Docker, Kubernetes
Cloud Platforms: AWS (S3, EC2, Lambda), Azure (Data Factory, ML Studio), GCP (BigQuery, Vertex AI)
Web Development: Flask, Django, Streamlit, Gradio, RShiny
Version Control & CI/CD: Git, GitHub Actions, Jenkins
Database Management: PostgreSQL, MySQL, MongoDB, BigQuery
Data Engineering: Apache Spark, Apache Kafka, Pandas, NumPy, Dask
DevOps & CLI Tools: Bash, Azure CLI, AWS CLI, Terraform

Experience

WEMA Bank PLC
Polaris Bank LTD
Survey Plus LTD
Self-Employed

Customer Behavior Analyst - WEMA Bank PLC

Dec 2023 - present

Conducted in-depth market-behavioral research for customer segmentation and profiling, leading to a 20% increase in targeted marketing campaign effectiveness.
Analyzed transaction velocity and mobile-tech adoption patterns, resulting in optimized user experiences and a 15% boost in mobile app transactions.
Collaborated with cross-functional teams to develop advanced machine learning models for predicting customer behavior, increasing conversion rates by 30%.
Implemented real-time analytics dashboards using Power BI and Azure, enhancing decision-making processes for marketing and sales teams.
Automated reporting systems, reducing manual work by 40% and ensuring timely and accurate insights for stakeholders.

Customer Behavior Analyst - Polaris Bank LTD

Nov 2021 - Dec 2023

Conducted market research and behavioral analysis for customer segmentation, leading to a 20% increase in personalized marketing success.
Enhanced customer profiling techniques, optimizing targeting strategies and increasing retention rates by 25%.
Developed and implemented machine learning algorithms for customer journey analytics, driving a 15% improvement in digital engagement.
Automated customer data collection and reporting systems, reducing operational costs by 50% and enhancing data accuracy.
Collaborated with IT and marketing teams to design data-driven UX improvements, reducing customer drop-off rates by 20%.

Data Analyst - Survey Plus LTD

Dec 2020 - Nov 2021

Created comprehensive blueprints for data collection and analysis processes, enhancing overall data quality and consistency.
Automated report generation and monitoring systems, ensuring accuracy in onboarding processes and reducing manual workload by 50%.
Implemented machine learning models for fraud detection, identifying and preventing fraudulent activities, saving the company significant potential losses.
Analyzed demographic patterns to improve customer onboarding experiences, increasing onboarding accuracy and reducing customer churn by 15%.
Developed dashboards and visualizations to support strategic decision-making, providing actionable insights to stakeholders.

AI/ML Engineer - Self-Employed

2023 - present

Developed and deployed advanced ML models for real-time drowsiness and brain tumor detection, achieving 95% accuracy in practical applications.
Led research initiatives on melanoma detection with a focus on addressing racial bias in AI models, enhancing diagnostic accuracy for diverse populations.
Designed and launched a generative AI-based IELTS Writing Task Generator, automating task creation and scoring with high reliability.
Built a contextual chatbot using Cohere’s command-r models, improving user interaction through natural language understanding and response generation.
Engineered automated data analysis tools, streamlining exploratory data analysis (EDA) and reporting processes for non-technical users.

Education

2014 - 2018

Bachelor of Science in Demography and Social Statistics

Obafemi Awolowo University, Ile-Ife

GPA: 4.39 out of 5.0

I published two papers in the ADSS Conference Paper on Demographic and Health Survey:

“Evaluation of Household Age Data in the Nigerian Demographic and Health Survey, 2013.” (2018)
“Mass Media: Assessing Fertility Rates with Family Planning, A case study of Ilesha, Osun State” (2017)

Other Publications:

" George, O., Amah, D., & Emmanuel, J. (2024). Towards fairness and efficiency: A low-weight computer-aided model for melanoma detection with racial bias handling. In ICRS-STI 2024: Book of Abstracts (pp. [33]). Covenant University." (2024)