Daniel Popoola

Daniel Popoola- | - EDUCATION OBAFEMI AWOLOWO UNIVERSITY, ILE-IFE Bachelor of Science, Electronic and Electrical Engineering Emphasis: Statistics and Data Science | www.linkedin.com/in/daniel-popoola-/ Osun, Nigeria July 2019 EXPERIENCE Anheuser-Busch InBev Lagos, Nigeria (Remote) AI Engineer Feb 2022 – Present • Developed custom trained Optical Character Recognition Models that powers POC Eye - IREP, a Digital Trade Operations solution which has been used to extract key information from about 1million receipts and counting from different Supermarkets in Mexico. • Part of a team of AI Engineers building scalable AI Solution across Ab Inbev Nigeria and Ab Inbev Mexico. • Developed and optimised data annotation solution for cleaning, labelling and preparing unstructured data used to train OCR models. • Significant reduction in the processing time of images in the end to end AI solution pipeline which involves fetching images from an endpoint, analysing the images using the AI models, and sending results through another endpoint. Ageless Partners Denver, USA (Remote) Data Scientist Aug 2021 – Feb 2022 • Performed extensive data exploration, wrangling and visualisation • Designed and deployed machine learning models for predicting liver disease using Python and Flask • Participated in a team that competed in the Longhack hackathon, and came out as one of the top 13 teams • Analysed 100+ longevity companies to show how the longevity industry is gaining significant momentum and funding Self Employed Lagos, Nigeria Data Science Intern Nov 2019 – Nov 2020 • Analysed data from 400,000+ customers to predict their churn rate within 90 days • Implemented machine learning (XGBoost model) to analyse loan defaulters in an organisation with an accuracy of 84% • Designed and deployed machine learning models for predicting daily bike rentage Python and Flask • Performed sentiment analysis on 40,000+ tweets, using a Long Short Term Memory (LSTM) deep learning model • Utilised version control systems (GIT) Addax Petroleum Lagos, Nigeria Student Intern Sep 2017 – Mar 2018 • Utilised analytical expertise to provide insights and proposals to support business improvements • Extracted and analysed 500+ lines of data on fuel consumption, to help the company reduce cost and maximise profit • Reviewed 300+ records for deficiencies, corrected any incompatibilities and checked outputs using Microsoft Excel • Maintained 1000+ records, receipts, and withdrawals of office items which helped to reduce wastage in the office Fortuna Medical Software Engineering Intern • Built a basic webpage using JSF web application framework Ibadan, Nigeria Apr 2017 – May 2017 ADDITIONAL • Experience with Python, Jupyter notebook, SQL, HTML, CSS, Tableau, PowerBI, Azure, Docker, Git, and Flask • Experience using Pandas, Numpy, Matplotlib, SciKit-Learn, StatsModel, Seaborn, PyTorch, Keras, and TensorFlow