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Summary
Experienced Data Scientist and Machine Learning Engineer with proven credentials in the design and delivery of end-to-end multitiered data products at scale. Hands-on expertise at all stages of the technical/data product life cycles, including data analysis, modelling and algorithms, data architecture/systems design and data governance, ethics, and risk management for data products. Track record of successful product delivery, ensuring software engineering best practices in a highly regulated, Agile environment. Excellent stakeholder management and cross-functional team leadership skills, with a focus on clear communication, mentorship, and team development. Currently seeking opportunities to contribute my skills and experience to the dynamic team.
Overview
5
5
years of professional experience
Work History
Data Science/Machine Learning Engineer
Self-Employed
01.2024 - Current
- Data and AI consultation services for multiple short-term, high velocity projects including: - Design and delivery of residential property carbon emissions predictive modelling
- - Internet of Things data analysis, engineering, and migration between Cloud providers
- - Retrieval-augmented generation and query engineering for Llama-2 based chatbot
Machine Learning Engineer
Odi Ventures Limited
06.2024 - 08.2024
- Company Overview: Financial Company
- Leveraging Anomaly detection, Apache Spark and workflow orchestration for financial modelling and analysis, handling large datasets and complex computations
- Bitcoin price data analysis, utilizing Python and ML models for comprehensive data manipulation and analysis.
- Financial Company
Data Scientist / Technology Solution Associate
Cybervergent
03.2023 - 06.2024
- Company Overview: Nigeria
- Designed and built robust and scalable core unstructured data management platform within Cybervergent (LBG), including data pipelines, long-term storage, feature store, data management, machine learning capabilities, MLOps infrastructure and User Interface
- Established Centre of Excellence for unstructured data analytics within Cybervergent: defined best practices (coding standards, risk and ethics), developed key tooling and analytics capabilities, identified infrastructure and Cloud (Google Cloud and Azure) capability requirements, defined and drove research and experimental agenda. Identified and forged new and exciting collaborations and growth opportunities
- Cross collaboration with multiple stakeholders at all levels to promote lab, communicate and gain support for long-term vision, and influence wider business processes, products, roadmaps, and architectures. Simplified complex concepts for effective communication, upskilled colleagues where required, forged strong links across business to drive unstructured data agenda and developed effective partnerships between teams
- Nigeria
Senior Data Scientist
Eunomy
10.2022 - 03.2023
- Company Overview: Nigeria
- Built and implemented automated document redaction solutions. Agreed and maintained key project deliverables, timelines, resource allocation, and drove delivery via Agile methodology (JIRA, Confluence)
- Technical lead for productionisation and delivery of machine learning model to detect vulnerable customers from audio transcripts, which increased call audit capabilities 19-fold
- Led team to deliver production ready code via collaborative development. Implemented reusable machine learning operations (MLOps) and backtesting pipelines. Tech stack: Python, PyTest BDD, Jenkins, SonarQube, Airflow, SpaCy, Domino, Github, BluePrism
- Developed and maintained stakeholder relationships, forged academic and industrial partnerships, and regularly presented results, briefed, and updated senior management
- Led cross-functional working group to author internal White Paper on unstructured data ethics. This was presented to senior management and used to inform Cloud architecture decisions
- Nigeria
Data Scientist
First Vision
03.2020 - 09.2022
- Company Overview: Nigeria
- Productionisation and delivery of call centre workforce forecasting model. Tech stack: Python, PyTest, Facebook Prophet, Jenkins, SonarQube, Domino, Github
- Selected as one of four colleagues to partake in international Tri-Bank process mining project. Designed and built proprietary process mining solution: Tech stack: Python, Neo4j
- As part of the Responsible AI team, developed LBG Data Science Life Cycle to facilitate data team adherence to governance and risk requirements and standards. Set standards, framework and developed reusable patterns for machine learning model and data monitoring.
- Created proprietary algorithmic fairness and bias evaluation library for internal use
- Nigeria
Research Scientist
Autogon AI
- Company Overview: USA
- Designed a solution at Autogon AI to streamline the development of machine learning and deep learning models, ensuring seamless integration and optimization of workflows.
- Strong commitment to maintaining comprehensive and clear documentation for code developed using Autogon's API, coupled with expertise in testing and quality assurance processes for reliable and accurate models.
- Collaborated with diverse cross-functional teams, including data scientists, software engineers, and product managers, to understand project requirements and deliver innovative solutions.
- USA
Education
BSc - Biochemistry
Abia State University
Skills
- Design
- Pandas
- Numpy
- Matplotlib
- Seaborn
- Power BI
- System Design
- Data Architecture and Pipelines
- Google Cloud Platform
- Microsoft Azure
- Amazon Web Services
- MLOps
- DataOps
- AirFlow
- Hadoop
- Spark
- Development
- Python
- Natural Language Processing
- CI/CD
- Jenkins
- Git
- SonarQube
- Neo4j
- Bash
- Django
- PyTest
- Scikit-learn
- SpaCy
- NLTK
- Transformer models
- Tensorflow
- Hugging Face
- MLFlow
- VertexAI
- TensorFlow
- PyTorch
- PySpark
- AWS EMR
- Azure Synapse Analytics
- Delivery
- Agile
- Technical Project Management
- Delivery Roadmaps
- JIRA
- Confluence
- Financial Budgets
- Stakeholder Management
- Delivery Reporting
- Objectives and Key Results
Other Achievements
Tutored and career advice to students and women transitioning into data science, One research publication in high impact scientific journal, Selected as one of 20 females to partake in the GTA Black Women in Tech programme 2023., Nominee for Voices in the shadows 3rd Edition 2023
Personal Information
Nationality: Nigerian
Certificates And Awards
- Getting started with AI using IBM Watson (Coursera)
- Python for Data Science, AI & Development (Coursera)
- SQL for Data Science (Coursera)
- Cybersecurity Engineering Virtual Internship Program
- Introduction to Artificial Intelligence (Coursera)
- Blockchain Specialization (Coursera)
- BSc Biochemistry from Abia State University
Timeline
Machine Learning Engineer
Odi Ventures Limited
06.2024 - 08.2024
Data Science/Machine Learning Engineer
Self-Employed
01.2024 - Current
Data Scientist / Technology Solution Associate
Cybervergent
03.2023 - 06.2024
Senior Data Scientist
Eunomy
10.2022 - 03.2023
Data Scientist
First Vision
03.2020 - 09.2022
Research Scientist
Autogon AI
BSc - Biochemistry
Abia State University
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