About Me

Introduction

Welcome to my portfolio. I am Bassey Akom, a 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒕𝒊𝒔𝒕 & 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓, and a leader in the data world. With an M.Sc in Big Data Analytics, a B.Sc in Statistics, and a Data Science certification from Harvard University, I'm super passionate about data and especially big data, mathematics, and Statistics! and I specialize in extracting meaningful insights from complex data sets to aid decision-making processes.

Professional Skills

Data Science

Expertise in statistical analysis, machine learning, and data visualization. Proficient in Python, R, and SQL. Experienced with PySpark, scikit-learn, TensorFlow, PyTorch, and advanced machine learning algorithms.

Big Data Analytics

Experience with Hadoop Ecosystem, Spark, and Apache Hive, and SQL. Skilled in using big data tools for processing and analyzing vast amounts of data efficiently.

Data Engineering

Skilled in designing and implementing ETL pipelines with Apache NiFi, and cloud platforms like Azure. Proficient in using Azure Data Factory (ADF) to orchestrate and automate data movement and transformation from various sources to Azure Storage (including Blob Storage and Data Lake Gen2), enhancing data integration and workflow efficiency.

Statistics

Strong foundation in statistical methods and applications, including hypothesis testing, regression analysis, and experimental design. Experienced with SAS.

Data Analytics

Expertise in transforming raw data into actionable insights using advanced analytics techniques and visualizations.

• Azure Synapse Analytics: Comprehensive data integration, management, and analytics
• SQL: Advanced SQL queries for data manipulation and retrieval
• Tableau: Creating interactive and shareable dashboards
• Power BI: Developing real-time analytics and visual reports
• Microsoft Excel: Utilizing advanced formulas, pivot tables, and VBA scripts
• Power Query: Creating and manipulating data in Power Query

Databases

Proficient in managing and designing databases for scalability, efficiency, and reliability.

• MySQL: Robust database management for web applications
• PostgreSQL: Advanced features and support for large-scale databases
• MongoDB: NoSQL database for handling large sets of distributed data
• Oracle Database: High-performance database solutions for enterprise applications
• Microsoft SQL Server: Comprehensive database software for critical applications

Project Highlights

Payment Arrangements System Replication

Developed a comprehensive system to automate the calculation of payment schedules, enhancing operational efficiency and customer satisfaction.

Tutorials

I regularly write tutorials to share my knowledge and experiences. Check out my latest tutorial on setting up Hadoop, Hive, and NiFi on macOS with Apple Silicon.

Data Structures

Insight Extraction

Just as we distill complex information into a single impactful statement in a blockquote, data science seeks to extract valuable insights from vast datasets to inform decision-making.

Tabular Data Interpretation

Gallery

Left & Right

As we delve into the realm of data analytics, the importance of intuitive design becomes apparent. Our latest project showcases an innovative analytics dashboard that optimizes data flow and enhances user experience. This visual representation helps in quick decision-making by presenting complex data through simplified interfaces and dynamic layouts.

In a world where data drives decisions, collaborative platforms have become key to unlocking insights. Pictured here is a session from our recent workshop, where teams synergize over interactive displays to explore data trends and patterns. This hands-on approach not only accelerates understanding but also fosters a collaborative environment for sharing knowledge and innovative ideas.

Exploring the world of data through powerful visualizations and innovative solutions.