Hello, my name is
Pacifique Nteta
And I'm
"Driving operational efficiency through data-driven engineering solutions".
"Driving operational efficiency through data-driven engineering solutions".
I’m an Industrial Engineer who speaks the language of data, transforming raw operational metrics into strategic insights that drive efficiency, reduce waste, and improve decision-making.
My expertise sits at the intersection of Industrial Engineering, Data Engineering and Data Analytics, where I leverage statistical analysis, process optimization, and business intelligence tools to solve real-world operational challenges. From inventory control to production planning, I turn data into actionable strategies that boost throughput, cut costs, and support scalable growth.
I’ve applied this hybrid skill set across roles in supply chain, quality control, and inventory management where I identified a growing need for data-driven decision-making. This passion led me to earn the Google Data Analytics Professional Certificate, deepening my skills in SQL, R, Tableau, and predictive modeling, and launching my journey into data science/analytics and business intelligence.
Systematic and lean thinking approach to improving industrial processes and operational efficiency
Extracting meaningful insights from complex datasets to support strategic decisions
"I’m not just a data engineer and analyst, I am an industrial engineer who speaks data."
Leveraging analytics to identify bottlenecks, reduce waste, and improve throughput in production and logistics using Lean, Six Sigma, and real-time KPI monitoring.
Designing and building robust data pipelines, ETL processes, and data warehouses to support analytics and reporting.
Building intuitive Power BI and Tableau dashboards that turn complex data into clear, actionable insights for executives and operations teams.
Data Engineering
Microsoft Fabric
SQL Server
Developed an intelligent inventory management system tracking stock levels, turnover ratios, and reorder points with interactive Power BI visualizations to optimize inventory control.
Analyzed 2 years of automotive sales data to identify revenue trends, patterns in customer preferences, and built an interactive Power BI dashboard.
Developed a comprehensive dashboard to track personal income and expenses.
Built a machine learning model to predict house price based on given set of features such as number of bedrooms, number of bathrooms, squarefoot of basement,...
Analyzed Fitbit fitness tracker data to identify smart device usage trends and develop growth strategies for Bellabeat.
Bryanston, South Africa | Feb 2026 - Present
Remote | Jan 2023 - Present
Pretoria, South Africa | August 2024 - Nov 2024
Lubumbashi, DR Congo | Jul 2020 – Nov 2022
Lubumbashi, DR Congo | Oct 2019 – March 2020
The assessment confirms my knowledge of Power BI in preparing the data, modelling the data, analyzing and visualizing the data, and managing and securing Power BI reports and dashboards
Completed training in SQL, business analysis, and reporting. Gained proficiency in writing complex queries, extracting insights from relational databases, and translating data into actionable business recommendations.
Completed intensive training on end-to-end BI workflows: Power Query ETL, DAX modeling, and interactive dashboard design for real-world business analytics.
Completed training in Python data analytics: Pandas for querying/cleaning, statistical modeling, and Matplotlib/Seaborn visualizations.
Focused on Supply Chain Management and Logistics, Production Systems and Maintenance, and Project Management and Quality Control.
Trained in data cleaning, EDA (Pandas, NumPy), and predictive modeling (scikit-learn) for real-world datasets.
Certified in data analytics using SQL, R, and Tableau; from data cleaning to visualization with applied case study experience.
Industrial Engineering fundamentals: Process improvement, facility design, and production systems with CAD, automation, and work measurement applications.
I'm open to discussing new opportunities, collaborative projects, or conversations about data-driven process optimization and industrial innovation. Whether you're looking for a data analyst, industrial engineer, or problem solver, let’s connect!