WILLIAMS CHINWEOBI IKECHUKWU

Data Analyst

Abuja, NG.

About

Detail-oriented and analytically driven Data Analyst with hands-on experience in data preparation, cleaning, exploratory data analysis (EDA), and visualization. Proficient in Python, SQL, Excel, and Power BI, with a strong foundation in database creation and management. Passionate about transforming raw data into actionable insights that drive informed decision-making. Actively building expertise in machine learning, having developed and deployed classification models including Random Forest, Decision Tree, Gradient Boosting, and Logistic Regression. A fast learner with a physics background that sharpens quantitative thinking and problem-solving skills.

Work

Techyjaunt

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Data Analyst Intern

Karu, Abuja, FCT, Nigeria

ā†’

Summary

Assisted in data preparation, cleaning, and exploratory data analysis to deliver actionable insights and support project development.

Highlights

Executed robust data preparation, cleaning, and Exploratory Data Analysis (EDA) on extensive student datasets, ensuring data quality for analytical insights.

Designed and implemented compelling data visualizations, translating complex raw student records into clear, actionable insights for stakeholders.

Provided critical data findings that accelerated the development of a student verification web page, significantly reducing project delivery timelines.

Collaborated effectively with cross-functional teams, maintaining stringent data quality and integrity standards across the entire project lifecycle.

Education

Secondary School

High School Certificate

Airforce Institute of Technology

Kaduna, Kaduna, Nigeria
ā†’
Bachelor of Science Physics

Languages

English

Certificates

Certificate of Completion - Techyjaunt Data Analytics Programme

Techyjaunt

Certificate of Internship

Techyjaunt

Associate Data Analyst

DataCamp

Skills

Languages

Python, SQL, MySQL, PostgreSQL.

Analytics Tools

Microsoft Excel, Power BI, Power Query.

Databases

Database Design & Management, MySQL, PostgreSQL.

Other Data Skills

Exploratory Data Analysis (EDA), Data Cleaning, Data Visualization.

Machine Learning - Classification

Random Forest Classifier, Decision Tree Classifier, Gradient Boosting Classifier, Logistic Regression.

Machine Learning - Regression

Linear Regression, Ridge Regression.

Machine Learning - Time Series

ARMA Model.

Machine Learning - Focus

Supervised Learning, Model Evaluation & Accuracy Optimisation.

Data Handling

Structured Datasets, Unstructured Datasets.

Projects

Doceat AI - Food Recommendation App

Summary

Built an AI-powered food recommendation application that suggests meals to users based on personalised inputs including age and gender.

Patient Disease Predictor

Summary

Developed a machine learning model that predicts a patient's likely disease based on reported symptoms, achieving a model accuracy of 70.95%.

UK Railway Performance Analysis

Summary

Analysed UK railway data to determine the proportion of trains arriving on time, delayed, or cancelled, providing a clear picture of overall service reliability.

Washington D.C. Crimes Dataset Analysis

Summary

Analysed Washington D.C. crime records to identify the most common crime types ranked by UCR classification.

Social Media Hashtag Effectiveness Analysis

Summary

Collected and processed social media post data using Python, SQL, Power Query, and Excel.