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chinomnsomaduka/README.md

Hi there! I am :octocat:Chinomnso Maduka:octocat:

πŸ’Ό Work Experience:

πŸ’» Chinomnso Maduka is a highly accomplished Senior Big Data Engineer at Accenture, renowned for his expertise in building large-scale data processing systems and designing robust data warehousing solutions. With a strong foundation in Computer Science, Chinomnso has amassed over a decade of experience, leaving an indelible mark in the dynamic field of data engineering.

Mr. Maduka's proficiency extends across the spectrum of data engineering, from object-oriented design and coding to implementing testing patterns in complex environments. His wealth of experience includes engineering both commercial and open-source software platforms, showcasing his versatility in adapting to diverse technological landscapes.

One of Chinomnso's standout strengths lies in his mastery of large-scale data infrastructures. He has consistently demonstrated his ability to architect and implement data processing systems that efficiently handle vast amounts of information, ensuring optimal performance and scalability. His contributions in the realm of data warehousing solutions have empowered organizations to glean actionable insights from their data assets.

In addition to his prowess in infrastructure engineering, Chinomnso Maduka stands out for his expertise in developing and deploying machine learning and natural language processing models. His ability to identify patterns and make predictions through advanced analytics has proven invaluable in deriving meaningful insights from complex datasets.

Chinomnso possesses a deep understanding of applying cutting-edge technologies to solve big data problems. His innovative approach to developing solutions for complex data challenges has positioned him as a thought leader in the industry. His commitment to staying abreast of emerging trends ensures that he consistently brings state-of-the-art solutions to the table.

Beyond technical excellence, Mr. Maduka is known for his collaborative spirit and effective communication. His ability to bridge the gap between technical intricacies and business requirements has made him a sought-after team member in cross-functional environments.

As a forward-thinking Senior Big Data Engineer, Chinomnso Maduka continues to push the boundaries of what is achievable in the realm of big data. His dedication to innovation and his comprehensive skill set make him a driving force in the evolution of data engineering, where he remains at the forefront of creating transformative solutions for the challenges of tomorrow.

Laptop

πŸ”Œ Specializations: Data & Analytics Strategy, Data Engineering, Data Science & Data Visualization

Big Data

πŸ“ˆ Skillsets includes:

πŸ“Š Architecting and building scalable data platforms.

Big Data Pipeline

🏊 Enterprise Data Lake Architecture

Enterprise Data Lake Architecture

🏠 Data Warehousing

Data Warehouse

Data Modeling

Data Modeling Pyramid

🧠 Simulation of Human Intelligence in Machines

AI

  • Aritificial Intelligence (AI)
  • Machine Learning (ML)
  • Deep Learning (DL)
  • Natural Language Processing (NLP)
  • Geographic Information Systems (GIS) ArcGIS Pro

Continuous Intergration (CI) / Continuous Deployment (CD) Pipelines

DevOps Methodology DevOps Tools

Software Development Methodologies

  • Agile Agile Project Management Methodology β€” Manifesto, Frameworks and Process Product Owners Role in Agile Teams
  • Kanban

πŸ–₯️ Technology Stack includes:

☁️ Cloud Technologies

πŸ“ Open source technologies

πŸ’Ύ Sever-side technologies

πŸ’» Programming Languages

Python PySpark

πŸ“‰ Business intellegence/ Data Visualization tools

Tableau US Traffic Accidents -Tableau Data Visualization

🏫 Education

  • Masters in Applied Information Technology
  • Bachelors in Applied & Computational Mathematics

πŸ““ Certification

πŸ‘ͺ Network

πŸ“± Connect with me on LinkedIn!

LinkedIn

Pinned

  1. Manipulating-Geospatial-Data Manipulating-Geospatial-Data Public

    Jupyter Notebook

  2. OpenWeather-Maps-API OpenWeather-Maps-API Public

    Python

  3. SupervisedMachineLearning SupervisedMachineLearning Public

    Supervised Machine Learning Using Non Linear Classifiers

    R

  4. Split-CSV-Files-in-Python Split-CSV-Files-in-Python Public

    Splitting CSV files using the pandas module.

    Jupyter Notebook

  5. TensorFlow TensorFlow Public

    Forked from romeokienzler/TensorFlow

    Project containig related material for my TensorFlow articles

    Jupyter Notebook

  6. Interactive-Scatter-Plots-with-Taucharts-R Interactive-Scatter-Plots-with-Taucharts-R Public

    R