Salako Adewale Musiliyu

Results-Driven Data Scientist

Lagos, NG.

About

Results-driven Data Scientist with a robust background in Statistics and extensive hands-on experience in data analysis, predictive modeling, and machine learning. Adept at transforming complex datasets into actionable insights through advanced visualization and statistical techniques. Proven ability to lead data-driven projects that solve real-world problems and deliver significant business value.

Volunteer

Volunteer Mentor

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AICE

Supported peer learners in online communities by providing technical guidance and feedback to facilitate milestone completion.

Highlights

Supported numerous peer learners by providing comprehensive technical guidance, directly contributing to their successful milestone completion.

Moderated dynamic online learning communities, fostering collaborative environments and gathering valuable improvement feedback to enhance program effectiveness.

Education

Redeemer's University

Ede, Osun State, Nigeria
M.Sc. Statistics Grade:

Ahmadu Bello University

Zaria, Kaduna State, Nigeria
B.Sc. Statistics Grade:

Languages

English

Certificates

Data Analyst

ALX Africa

Data Science

Darey.io

Skills

Programming Languages

Python, SQL.

Data Analysis

Pandas, NumPy, Excel.

Machine Learning

Scikit-learn, XGBoost, Random Forest, Logistic Regression.

Data Visualization

Matplotlib, Seaborn, Power BI.

Databases

MySQL.

Development Tools

Jupyter Notebook, Google Colab.

Cloud Platforms

AWS (S3, EC2).

Interests

Data for Social Impact

Innovation, Community Development.

Projects

Insurance Premium Prediction

Summary

Built and optimized a machine learning model to predict customer insurance premiums for SecureLife Insurance, leveraging advanced statistical and ML techniques.

Fake News Detection - NLP Classification

Summary

Developed an NLP-driven classification model to accurately identify fake news articles from a large text dataset.

AI Logistics Delay Diagnostic Tool

Summary

Created an AI-powered tool to diagnose and predict delays in supply chain logistics based on historical delivery data.

COVID-19 Data Analysis Project

Summary

Conducted a comprehensive analysis of global COVID-19 data to identify trends and the impact of vaccination efforts.