Data Science and Analytics, continuous learning and professional development, technology trends, fitness, travel
Pamela Chenge
AI Engineer
Birmingham,West Midlands
Summary
Highly motivated AI Engineer with an extensive background in machine learning, data analysis and administration. Skilled in conducting thorough life cycle analyses, reporting system implementation, and data modelling to enable well-informed business decisions. Searching for an opportunity to utilize my technological knowledge and analytical abilities to support the growth of a company.
Overview
5
5
years of professional experience
2
2
Certifications
1
1
Language
Work History
Administrative Officer At Ministry of Justice
Brook Street
02.2024 - Current
- Effectively responded to both general and client inquiries while upholding a high standard of customer satisfaction.
- Utilized Microsoft Office Suite to help with the development of reports, presentations, and other documents.
- Handled sensitive information and maintained confidentiality in all aspects of the job.
- Assisted with administrative duties, such as document sorting and filing, to keep the office running smoothly.
- Effectively tracked, read, and replied to emails, ensuring timely communication.
- Used effective communication techniques to interact with clients over the phone and in person, offering guidance and clear information.
AI Engineer Intern
Digital Kinz Solution Ltd
Kent
09.2022 - 08.2023
- Gained hands-on experience in machine learning and AI projects, working closely with mentors and senior engineers.
- Collaborated with cross-functional teams to define project objectives and deliver AI solutions meeting business requirements.
- Implemented deep learning techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), for computer vision and natural language processing tasks.
- Developed a predictive model to forecast sales for a retail company using historical sales data and external factors such as promotions and holidays
- Evaluated model accuracy and conducted A/B testing for data-driven solutions and improvements.
- Collaborated with other teams to gather, clean and pre-process data for analysis and modelling.
Data Analyst Intern
NHub Foundation
12.2019 - 01.2021
- Designed surveys and data collection techniques to collate data from government organizations, clients, and people with disabilities.
- Promoted advocacy campaigns based on data-driven policy suggestions and statistical analysis.
- Utilized Excel and Tableau to create reports and data visualizations used to share insights with internal teams and other clients.
- Carried out regular data monitoring to ensure all data was accurate, consistent, and in accordance with regulations relating to privacy.
- Worked alongside national and international organizations, to establish measures for best practices in the collection and evaluation of data on disability rights.
Education
Master of Science - Data Science
Nottingham Trent University
Nottingham, United Kingdom10.2023
Bachelor of Technology - Computer Engineering
Federal University of Technology
Minna, Nigeria12.2019
Skills
Verbal and Written Communication Skills
Academic Project
Occupancy-based Energy Consumption Prediction using LSTM-RNN and Random Forest Machine Learning Algorithms
• Implemented a Long Short-Term Memory (LSTM) recurrent neural network for accurate hourly energy consumption forecasting, using its sequential data handling capabilities, including time-series data.
• Utilized the Random Forest algorithm for robust and precise occupancy classification, distinguishing between occupied and unoccupied states in residential homes.
Voluntary work
Django Girls Workshop
Volunteered as a coach providing tools and resources and assisting women in developing their first web application using HTML, CSS, Python, and Django.
Pearls Africa Girls-Coding Project
Volunteered as a trainer, teaching young girls aged 10-15years the fundamentals of computer functionality as well as the fundamentals of programming.
Certification
Google Analytics Certification
Interests
Timeline
Administrative Officer At Ministry of Justice
Brook Street
02.2024 - Current
Practical Data Wrangling with Pandas, Coursera
11-2022
AI Engineer Intern
Digital Kinz Solution Ltd
09.2022 - 08.2023
Google Analytics Certification
11-2021
Data Analyst Intern
NHub Foundation
12.2019 - 01.2021
Master of Science - Data Science
Nottingham Trent University
Bachelor of Technology - Computer Engineering
Federal University of Technology
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