About Me

Hello there! I'm Muhammed Amao, a data professional with a strong technical background in data analysis, machine learning, and real-time data integration. Specializing in Python, SQL, and cloud platforms like AWS and Microsoft Azure, I have extensive experience in building and standardizing SQL data pipelines to improve data retrieval and enhance the accuracy of analytical models through advanced techniques like reinforcement learning and collaborative filtering.

My passion lies in leveraging data to solve real-world problems. I'm particularly driven by the potential of technologies like machine learning, natural language processing, and artificial intelligence to revolutionize industries. I'm also deeply committed to using data science to help businesses reduce their carbon footprint and achieve net zero emissions, while exploring innovative applications for cryptocurrency and its impact on the future economy.


In addition to my technical pursuits, I enjoy expressing my creativity through painting and contemporary art. I’m also an avid football and tennis player in my spare time. My goal is to continue building innovative solutions that enhance customer experiences and optimize decision-making, while mentoring the next generation of data scientists and making a meaningful impact through data.
I've created this portfolio to showcase my work, and I hope you enjoy exploring it!

Projects

Statistical-Analysis-of-Sustainable-Energy-practices-in-Europe

Statistical analysis of sustainable practices among European countries in R, accompanied by a detailed PowerBi dashboard.
Technologies Used: R, Power BI
View Project

KPMG-Data-Analytics-Virtual-Internship

This project contains solutions to the 3 different tasks that must be performed during the data analytics virtual internship provided by KPMG via Forage.
Technologies Used: Python, Pandas, Matplotlib, Seaborn, Power BI, Tableau
View Project

Modern-Library-Database

Design of a database system for a library that would store information on members, their library catalogue, loan history, and overdue fine repayments based on client's specification. The library requires a comprehensive system with an online sign�up and login feature, repayment of overdue fines, and calculation of overdue fees. The client also needed a backup system to prevent data loss in case of system failure.
Technologies Used: T-SQL, Python
View Project

File Security System Using Blockchain and Interplanetary File System (IPFS)

Developed a blockchain-based file-sharing system enabling decentralized peer-to-peer file transfers. It uses a custom blockchain for secure data storage, integrating IPFS for scalability and AES encryption for file security. The system allows file uploads and downloads with unique keys, ensuring that only intended recipients can access the data.
Technologies Used: Python, Flask, Socket Programming, Blockchain, IPFS, AES Encryption, SHA-256, HTML/CSS, JavaScript.
View Project

FIFA-World-Cup-Analysis

Analysis of The FIFA World cup from its inception to the recently completed tournament in 2023
Technologies Used: Matplotlib, PIL, NumPy, Pandas, Seaborn, 3D plotting with mpl_toolkits
View Project

IBM-Capstone-Project

Project outlines analysis of Space X rocket launches to determine if the Falcon 9 first stage will launch successfully
Technologies Used: Python, Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn, Folium, BeautifulSoup, SQL, APIs, Jupyter Notebook, IBM Cloud.
View Project

British Airways Virtual Internship

This project contains solutions to the 2 tasks that must be performed for British Airways Data Science Program via Forage.
Technologies Used: Python, BeautifulSoup, NLTK, scikit-learn
View Project

Experience

Collinson

Data Science Intern

January 2024 – May 2024

  • Developed and standardized SQL data pipelines handling over 1TB monthly, improving analysis capabilities and increasing data retrieval efficiency by 30%.
  • Ensured data quality and consistency, resulting in the successful processing of over 10,000 customer records, which streamlined reporting and improved the accuracy of analytical models.
  • Employed reinforcement learning, collaborative filtering, and content-based filtering to analyse customer interactions, transaction history, and demographics achieving an accuracy increase from 50% to 86%.
  • Integrated data from 5 consumer data points to construct a comprehensive Customer 360 view, resulting in a 30% increase in holistic customer understanding.
  • Integrated real-time data streams to dynamically update recommendations based on customer behavior and preferences.
  • Implemented statistical analysis and time series forecasting on real-time customer data using Python and advanced Excel, leading to more than 50 improved business strategies and significantly enhancing decision-making processes.

British Airways

Internship(Virtual)

August 2023 - September 2023

Data Science virtual internship provided by British Airways via Forage.

  • Web scraping to gain company insights
    Scrapped and analysed customer review data and built a sentiment analyser to uncover findings for British Airways
  • Predicting customer buying behavior
    Built a predictive model to understand factors that influence customer buying behavior

KPMG Australia

Data Analytics Consultant(Virtual)

July 2023 – July 2023

Data analytics virtual internship provided by KPMG via Forage.

  • Data Quality Assessment: Successfully applied customer data quality assessment to optimize marketing strategy, enabling company growth at Sprocket Central Pty Ltd with data provided in 3 datasets through data-driven insights
  • Data Insights: Delivered data-driven customer insights through comprehensive analysis of customer demographic, address, and transaction datasets, resulting in targeted marketing strategy and driving significant business value
  • Data Insights and Presentation: Presented data driven insights in a comprehensive dashboard to display to the client

Bright Network

Internship Experience 2023

July 2023 - July 2023

  • Participated in a Intensive Internship Experience with top organizations in the United Kingdom organised by Bright network. Proposed Net zero solution for fashion SMEs for final Capstone project

52 Signal Brigade 2 Division Nigerian Army

Network Administrator

January 2022 – November 2022

Managed and maintained NIgerian Army Wide Area Network(NAWANI) to ensure seamless connectivity and optimal performance.

  • Provided network support and performed troubleshooting to resolve various WAN/LAN connectivity issues.
  • Collaborated with associates in both technical and non-technical contexts.
  • Worked closely with network support team for operational support, tasks and projects.
  • Installed and maintained data and voice circuits through routers, switches, and WAN devices.

New Horizons

Student Intern

August 2019 – September 2019

  • Planned, prepared and participated in weekly meetings and events.
  • Delivered clerical support by handling range of routine and special requirements.
  • Reported back to instructor to receive day-to-day tasks and responsibilities.
  • Prepared reports on daily activities and provided them to the management team.

Education

University Of Salford

Msc Data Science(Ongoing)

January 2023 – Present

January 2023 – Present

Afe Babalola University Ado-Ekiti

Computer Science

August 2017 - July 2021

GPA - 4.23

Skills

  • Programming : Python,JavaScript, R Programming, SQL.
  • Unsupervised Learning: K-means Clustering, Principal Component Analysis(PCA)
  • Supervised Learning: Linear and Logistics Regressions.Decision Trees,Spport Vetor Machines(SVM).
  • Data Visualisation: Tableau In view, Microsoft Power Bi, Excel, Python Dash
  • Operating Systems: Windows, MacOS, Linux

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