NWADIGO PRAISE AKACHUKWU

NWADIGO PRAISE AKACHUKWU

Data Scientist | ML Engineer

Lagos, NG.

About

A highly analytical and results-driven Data Scientist and ML Engineer with a proven ability to develop and deploy predictive models, enhance data-driven decision-making, and lead technical mentorship initiatives. Leveraging expertise in Python, SQL, Azure ML, and various machine learning algorithms, I excel at transforming complex datasets into actionable insights and strategic solutions, contributing to significant improvements in forecasting accuracy and operational efficiency.

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Work

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Deep TechReady 3MTT

Data Science/ ML Intern

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WESOnline Mentorship

Group Lead - Data Science / ML Engineering

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Education

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Computer Science

Federal Polytechnic Nekede

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Computer Science

Federal Polytechnic Nekede

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Languages

English

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Certificates

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NSQ Artificial Intelligence Level 4 – CPN

CPN

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Data Science/Machine Learning – DeepTech Ready 3mtt

DeepTech Ready 3mtt

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Data Analytics with Power BI

Microsoft / Digital Skills Nigeria (FREE AI Classes In Every City)

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Data Analytics with Excel

Microsoft / Digital Skills Nigeria (FREE Al Classes In Every City)

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Power BI Project Marathon

Power BI Project Marathon

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Data Analytics Essentials

Cisco Networking Academy

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Fundamentals in Data Analysis

BNET Learning - Young Professional Scholarship Programme

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Skills

Programming Languages

Python, HTML, CSS

Python Libraries

NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-Learn

Databases & Tools

SQL, MySQL, PostgreSQL, Power BI, Azure ML, Git, GitHub

Machine Learning Algorithms

Linear Regression, Logistic Regression, SVM, Decision Trees, Random Forest, K-Means, Gradient Boosting, XGBoost, CatBoost

Soft Skills

Communication, Teamwork, Grit, Curiosity

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Projects

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Disease Prediction Model

Developed a Classification Model to Predict Disease Using Symptoms.

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Flood Prediction Model

Developed a regression model using flood data to predict the probability of flood occurrence in flood prone areas.

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Supermarket Model

Developed Regression Model to Predict the Total sales per Transaction.

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