Ayomide Fadeyi
**, ******* *****, *****, ****, Lagos, Nigeria. *******.*******@*****.*** 080******** EnochAy ayomide-fadeyi
Profile
Rational, meticulous, research-oriented and insightful data analyst, experienced in predictive analytics and data modeling processes. Eager to leverage big data, possessing sound analytical skills and strong attention to details, visualizing and interpreting big data to drive business growth using analytic tools such as the Visual Studio, R Studio, Structured Query Language (SQL), Anaconda, Tableau, Power BI, and Microsoft Excel.
Professional Experience
Dangote Group, Data Analyst
01-2020 – 07-2020 Lagos, Nigeria
Access Control Project at the Refinery.
The project helped to manage properly the inflow and outflow of equipment into the facility with the aid of artificial intelligence. Involved in the implementation and maintenance of an enterprise- wide identity and access control management system (UNIS VIRDI) of over 45,000 staffs
Facilitated the automation of employee information validation for smart access card printing and issuance for all national, casual and expatriate staff of the refinery
Worked as a data collection and validation officer using Structured Query Language, Microsoft Excel and UNIS VIRDI
Collaborated in a team of 20 data analysts
KPMG, Data Analyst Virtual Intern
07-2019 – 12-2019
Data Quality Assessment and Predictive Analysis
Resolved data quality issues in the raw data collected by undertaken an elaborate data exploration and cleaning procedures using Microsoft Excel and R programming language thus improving data quality.
Built and tuned machine learning algorithms that identified the target customer which will give the highest revenue to the organization. Result interpretation and reporting
Developed a data driven report and presentation through customer segmentation approach and data analytic methods using Tableau for visualizing the project findings.
Courses
Complete data science Bootcamp, 2020., Udemy.
08-2020 – present
70 Days Pre-Bootcamp Online Class (Machine Learning Stream), Data Science Nigeria.
07-2020 – present
AWS Machine Learning Engineering Foundation Course, Udacity. 05-2020 – 08-2020
Intel Edge AI Scholarship Foundation Course Nano-degree Program (Computer Vision), Udacity.
12-2019 – 03-2020
Data Science with R Track, Datacamp
01-2019 – 02-2019
Projects
Insurance Prediction
07-2020 – present
Project Description
Machine Learning with R Programming Languages.
The goal of this project is to build a predictive model to determine if a building will have an insurance claim during a certain period or not. This will be achieved by predicting the probability of having at least one claim over the insured period of the building. This is a supervised machine learning problem, classification problem specifically. The logistic regression model was used in R Studio.
KMPG Virtual Internship, www.github.com/EnochAy
07-2019 – 12-2019
Project Description
The goal of the project is to help the organization to know the customer to target in marketing.
I recommended the one customer out of a thousand
customers on the test data set (customer list) that should be targeted to drive the most value for the organization. Data quality assurance was carried out on the data received, then data transformation and feature engineering before the regression model was used in making the prediction. All these were done using the R Studio.
Skills
MACHINE LEARNING, Visual Studio, R Studio, Python IDLE, and Jupiter Notebook
DATA ANALYSIS, Visual Studio, R Studio, Python IDLE, and Jupiter Notebook
DATA QUALITY ANALYSIS, Visual Studio, R Studio, Python IDLE, and Jupiter Notebook
ANALYTIC AND DATA REPORTING, Tableau and Microsoft Power BI
DATA EXTRACTION, CLEANING AND STORAGE, Visual
Studio, R Studio, Python IDLE, and Jupiter Notebook BUSINESS INTELLIGENCE, Tableau and Power BI
TEAM BONDING, Git and GitHub
Education
University of Lagos,
B.S.c(Ed.) / Mathematics Education (Second Upper Class) 12-2014 – 12-2017 Lagos, Nigeria
Adeniran Ogunsanya College of Education,
NCE, Economics and Mathematics
01-2007 – 07-2010 Lagos, Nigeria
Ayomide Fadeyi *******.*******@*****.***