Data Scientist

• Apr 2022 - Present

Data Analysis: Utilized SQL, data warehousing programs, Power BI, and other visualization tools for data intelligence and analysis.Machine Learning Modeling: Designed, built, and deployed machine learning models to serve clients' specific needs.API Development, Testing and Deployment: Built, tested, and deployed Rest APIs using FastAPI on AWS ECR instances by dockerizing and containerizing the API endpoints while ensuring continuous availability and access to the endpoints using AWS App Runner. The software engineers subsequently consumed the endpoints for developing Mobile and Web applications for our respective clients in the company.Compute Cost Management: Cut compute cost from Amazon EC2 by over 70% in 3 months by following AWS best practices.Unit Testing: Conducted unit testing and troubleshooting in CI/CD processesCollaboration with Engineering Team: Working with the support and integration teams to identify problems and patterns, then defining the appropriate strategies to solve challenges and avoid repetition in the future.

Business Intelligence Analyst

• Oct 2021 - Mar 2022

Managed a team of data analysts and python programmers to develop and analyze data from different business portfolios.Selecting advanced statistical procedures to obtain actionable insights that improve business performance by at least 30%.Daily monitoring of the performance of junior analysts (Data and Business) and providing them with practical guidance, as needed.Weekly production and dissemination of non-technical reports that detail the successes and limitations of each project.Weekly formulating, suggesting, and managing data-driven projects geared at furthering the business's interests.

Data Science Instructor

• Apr 2022 - Present

Data Scientist

• Jun 2020 - Sep 2021

Built a data collection system that ensures real-time tracking of daily transactions using advanced functions in Google Suite Apps (Sheets and Form to be precise).Successfully managed projects which increased the company’s income generation by over 200% through tactical planning and policymaking.Led a team of three to build real-time analytic dashboards using Microsoft Power Apps (Excel, Power BI, Flow) to ensure real-time monitoring of clients’ business activities.Utilized SQL, data warehousing programs, Power BI, and other visualization tools for data intelligence and analysis.

Software Engineer (Data Science)

• Nov 2019 - May 2020

Developed data-gathering and reporting structures from the ground up and strategized methods that capitalized on system features.Developed quarterly roadmaps based on impact, effort, and test coordination, working with stakeholders to achieve short-term and long-term goals.Built and tested Rest APIs using Python Flask (a Python Web Development Framework), which the Frontend Developers implement for developing Mobile and Web applications for our respective clients in the company.Provided comprehensive analysis and recommended solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings.Implemented Azure Cognitive Services; LUIS, QnAMaker, Vision in building a chatbot

Data Science Fellow

• Nov 2018 - Nov 2019

A training platform specially curated to help develop Data Science skills in enthusiasts. It trains them in areas as diverse as Data Science, Machine Learning and Artificial Intelligence.Through the program I was able to take the following courses and acquired the necessary skills ;1. Introduction to Data Science.2. Querying-data-with-Transact-SQL.3. Developing Big Data Solution with Microsoft Azure Machine Learning.4. Implementing Predictive Analysis with Spark in Azure HDInsight.5. Analyzing and Visualizing Data with Excel.6. Analyzing and Visualizing Data with Power BI.7. Introduction to Python for Data Science.8. Analytics Storytelling for Impact.9. Ethics and Law in Data and Analytics.10. Essential Math for Machine Learning Python Edition.11. Data Science Research Methods Python Edition.12. Data Science Research Methods R Edition.13. Principles of Machine Learning Python Edition.14. Principles of Machine Learning R Edition.

Data Analyst

• Oct 2017 - Oct 2019

Built dashboards to visualize critical metrics for individual clients, that led to quicker and easier decision making across clients' companies.Creating reports based on explored data to detail the actionable steps helped clients focus on their priorities.Suggesting ways in which insights obtained from analyses might be used to inform business strategies.Analyzed data with tools such as SPSS, EViews, Stata, R, Sigma Plot.Wrote and presented reports to management, made sound business forecasts, and provided intelligent insights into business processes and trends.

Internship Trainee

• Apr 2017 - Sep 2017

📌Served as the point person for Data Administrator, duties including Drafting of Memos, Organization of Fieldwork, Errands.📌Participated in Fieldwork such as Farm Survey, Retail Price of Goods and Commodities (RP) Survey, General Household Survey.📌 Trained SIWES Students from Polytechnics and Monotechnics.📌 Ensured accurate and timely reporting📌 Provided general support to visitors📌 Served as the Co-ordinator for all intern Students 📌Served as the point person for Data Administrator, duties including Drafting of Memos, Organization of Fieldwork, Errands.📌Participated in Fieldwork such as Farm Survey, Retail Price of Goods and Commodities (RP) Survey, General Household Survey.📌 Trained SIWES Students from Polytechnics and Monotechnics.📌 Ensured accurate and timely reporting📌 Provided general support to visitors📌 Served as the Co-ordinator for all intern Students

Data Analyst

• May 2015 - Mar 2017