NKEMDILIM CHIDUBEM PATRICK

Aspiring Data Scientist
Lagos, NG.

About

Aspiring Data Scientist with a strong foundation in Python, SQL, statistical analysis, and data visualization, eager to leverage analytical acumen to drive data-driven insights. Proven ability to clean, analyze, and visualize complex datasets using tools like pandas, NumPy, Power BI, and Tableau, demonstrated through impactful real-world projects. Combines technical proficiency with 2 years of experience in financial operations, developing acute numerical accuracy, problem-solving, and meticulous attention to detail crucial for data integrity and high-quality analysis.

Work

Bet9ja
|

Cashier Accountant

Lagos, Lagos, Nigeria

Summary

Managed daily cash transactions and financial records, ensuring accuracy and accountability while processing customer payments and resolving inquiries.

Highlights

Managed an average of 100+ daily cash transactions, consistently maintaining accurate financial records and balancing daily cash flow reports.

Processed all customer payments efficiently, reducing transaction errors by 15% through meticulous record-keeping and reconciliation.

Assisted 50+ customers daily with account and payment-related inquiries, enhancing customer satisfaction through clear communication and problem resolution.

Maintained 100% accuracy and accountability in all financial operations over a 2-year period, safeguarding company assets and ensuring compliance.

Education

Capital City Secondary School
Nigeria, Nigeria

Senior Secondary School Certificate (SSCE)

General Studies

Certificates

Career Essentials in Data Analysis

Issued By

Microsoft & LinkedIn

Career Essentials in Generative AI

Issued By

Microsoft & LinkedIn

Career Essentials in Cybersecurity

Issued By

Microsoft & LinkedIn

Skills

Programming & Query Languages

Python, SQL.

Data Analysis & Visualization

pandas, NumPy, Matplotlib, Plotly, Power BI, Tableau, Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Probability & Correlation, Data Visualization.

Tools & Technologies

Jupyter Notebook, Microsoft Excel, scikit-learn.

Machine Learning

Machine Learning Fundamentals, Generative AI, Predictive Analytics.

Cybersecurity

Cybersecurity Fundamentals.

Projects

COVID-19 Data Analysis Project

Summary

Comprehensive analysis of real-world COVID-19 datasets to uncover trends and patterns, utilizing Python libraries for data cleaning, exploratory analysis, and visualization.

Interactive Data Visualization Dashboard

Summary

Designed and developed dynamic, interactive dashboards and visual reports to transform raw CSV data into actionable business intelligence.

Sales Data Analysis Project

Summary

Analyzed sales datasets to uncover revenue trends and customer behavior patterns, supporting strategic business decision-making.

Student Performance Analysis Project

Summary

Explored student performance datasets to identify factors influencing academic results and generate actionable insights for educational improvement.

Beginner Machine Learning Project

Summary

Developed foundational machine learning models using Python and scikit-learn to solve classification and regression problems.