ADEKUNLE OLAYINKA GRACE

Aspiring Data Scientist

Oyo, NG.

About

Transitioning professional with a robust foundation in Accounting (B.Sc.) and advanced training in Data Science, Python, and Machine Learning from the 3 Million Technical Talent (3MTT) program. Eager to leverage strong analytical acumen, problem-solving capabilities, and a proven ability to reduce financial reporting errors by 20% to develop data-driven solutions. Seeking to apply technical proficiency in Python, Pandas, and Scikit-learn to support strategic decision-making and solve complex business challenges in an entry-level Data Scientist or Data Analyst role.

Work

Coscharis Group

|

Account Officer II

Nigeria

ā†’

Summary

Managed daily bookkeeping and comprehensive accounting operations, ensuring accuracy and compliance for financial records.

Highlights

Spearheaded daily bookkeeping and comprehensive accounting operations, ensuring accuracy and compliance for financial records.

Efficiently processed and captured a high volume of daily invoices, maintaining organized financial documentation and supporting timely payment cycles.

Contributed to the preparation of monthly financial statements, providing critical data for management review and decision-making.

Implemented rigorous data verification processes that successfully reduced financial reporting errors by 20%, enhancing data integrity and reliability.

Education

3 Million Technical Talent (3MTT)

Training Program Python & Data Science Training

Courses

Python Programming

Machine Learning Fundamentals

Data Analysis Concepts

Data Manipulation using Pandas and NumPy

University of Ado Ekiti

Ado Ekiti, Ekiti State, Nigeria
ā†’
Bachelor of Science (B.Sc.) Accounting Grade: Second Class Upper Division

The Polytechnic Ibadan

Ibadan, Oyo State, Nigeria
ā†’
National Diploma (ND) Financial Studies Grade: Upper Credit

Languages

English

Yoruba

Skills

Python Programming

Python, Pandas, NumPy, Scikit-learn.

Data Analysis

Data Manipulation, Data Visualization, Microsoft Excel, Sales Dashboard Analysis.

Machine Learning

Machine Learning Fundamentals, Predictive Modeling, Customer Churn Prediction, Loan Prediction, Clustering Analysis, Model Comparison, Model Evaluation, Feature Engineering.

Accounting & Finance

Financial Reporting, Bookkeeping, Accounting Operations, Invoice Processing, Financial Statement Preparation.

Soft Skills

Analytical Thinking, Problem Solving, Communication Skills, Team Collaboration, Attention to Detail, Time Management, Strategic Thinking, Decision Support.

Projects

Loan Prediction Model

Summary

Developed a machine learning model to predict loan default risk, utilizing historical financial data to assess creditworthiness and inform lending decisions.

Customer Churn Prediction

Summary

Built a machine learning model to identify customers at high risk of churn, enabling proactive retention strategies for businesses.

Sales Dashboard Analysis

Summary

Created an interactive sales dashboard to visualize key performance indicators and provide actionable insights into sales trends and opportunities.

Clustering Analysis Project

Summary

Conducted a clustering analysis to segment data points based on inherent similarities, revealing underlying patterns and groups for targeted strategies.

Python Calculator Application

Summary

Developed a functional calculator application using Python, demonstrating fundamental programming principles and user interface design.

Machine Learning Models Comparison

Summary

Compared the performance of various machine learning models on a given dataset to determine the most effective algorithm for a specific task.