Friday Ekpe
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Friday Ekpe Email & Phone Number

Data Engineering and Analytics Instructor at Self-employed
Location: United Kingdom, United Kingdom, United Kingdom 6 work roles 2 schools
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✓ Verified May 2026 3 data sources Profile completeness 86%

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Current company
Role
Data Engineering and Analytics Instructor
Location
United Kingdom, United Kingdom, United Kingdom

Who is Friday Ekpe? Overview

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Friday Ekpe is listed as Data Engineering and Analytics Instructor at Self-employed, based in United Kingdom, United Kingdom, United Kingdom. AeroLeads shows a matched LinkedIn profile for Friday Ekpe.

Friday Ekpe previously worked as Data Engineer at Textron Specialized Vehicles and Business Intelligence Analyst at Vividx. Friday Ekpe holds Msc Chemical Engineering, Chemical Engineering from Ahmadu Bello University.

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Self-employed

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Profile bio

About Friday Ekpe

As a passionate and results-driven Data Analyst, I thrive on transforming complex datasets into actionable insights that drive strategic decision-making. With over 3 years of experience in the industry, I have honed my skills in data visualization, statistical analysis, and predictive modeling, allowing me to uncover patterns and trends that others might overlook.My journey in data analytics started with a curiosity for numbers and a desire to solve problems. Over the years, I've had the privilege of working on diverse projects, from optimizing marketing campaigns and improving customer experiences to enhancing operational efficiencies and informing business strategies. Each project has reinforced my belief in the power of data to tell a compelling story.Key Highlights:• Expertise in SQL, and Python for data manipulation, extraction, and analysis• Proficient in using tools like Power BI, and Excel for data visualization• Strong understanding of database management and data warehousing• Proven track record of delivering actionable insights that drive business growthWhat sets me apart is my ability to communicate complex findings clearly and concisely, ensuring stakeholders at all levels understand the implications and can make informed decisions. I am always eager to learn and stay updated with the latest trends and technologies in the field of data analytics.When I'm not diving into data, you can find me playing football and chess, which helps me maintain a balanced and creative approach to problem-solving.Let's connect and explore how we can leverage data to create impactful solutions and drive success!

Current workplace

Friday Ekpe's current company

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Self-employed
Self-Employed
Data Engineering and Analytics Instructor
United Kingdom
AeroLeads page
6 roles

Friday Ekpe work experience

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Data Engineering And Analytics Instructor

Self-Employed

United Kingdom

Data Engineer

Current

Ipswich, England, United Kingdom

  • Developed and optimized ETL pipelines using Azure Databricks to transform and analyze Pace Data, enabling performance insights into various electric mower models and supporting data-driven decision-making for product.
  • Collaborated with cross-functional teams to establish and document data standards, mapping rules, and semantic layers across business applications, ensuring data consistency and integration within Azure-based analytics.
  • Leveraged statistical analysis and visualization tools within Azure Databricks to process large datasets and generate insights, creating graphs, charts, and reports to support business leaders in evaluating electric.
  • Designed and maintained scalable data models in an Azure-based data lakehouse, enabling self-service analytics and seamless access to performance data for electric mowers and other key product lines across departments.
Oct 2024 - Present

Business Intelligence Analyst

Swansea, Wales, United Kingdom

  • Expertly analyzed and processed extensive sales and retail data to provide actionable insights for our clients, facilitating strategic decision-making and driving profitability growth.
  • Improved operational efficiency for our client by recommending how shipping lead times could be significantly reduced by approximately 25% and decreasing product return rates by 4%, which would lead to higher customer.
  • Identified top-performing products that would contribute to about a 7% increase in profit margins, with the best-selling items driving approximately 24% of total sales of all the products.
  • Collaborated with cross-functional teams to design and implement financial dashboards tailored to end-users needs, enabling self-service data exploration and empowering stakeholders to make informed financial decisions.
Mar 2024 - Aug 2024

Senior Data And Process Optimization Engineer

Nigeria

  • Analyzed data to identify trends and key performance indicators, increasing production efficiency by 12% and achieving cost savings of 20 million.
  • Developed and implemented data-driven strategies for optimizing operational efficiency and inventory management, reducing excess inventory by approximately 25%, and improving inventory forecasting accuracy.
  • Provided ad-hoc analysis and reporting support, creating clear and concise dashboards and reports with advanced Excel functions and data visualization techniques.
  • Enhanced data accessibility and transparency for stakeholders, enabling effective data-driven decision-making across various departments.
Jul 2020 - Nov 2023

Process Optimization Engineer

Lagos

  • Analyzed performance data during the pre-commissioning and commissioning of 2x3,850 MTPD Melt Urea Trains and 2x3,850 MTPD Urea Granulation Trains, ensuring seamless integration and adherence to design specifications.
  • Optimized urea production processes by utilizing data-driven techniques to identify and troubleshoot operational challenges, resulting in a 15% increase in production consistency and quality.
  • Collaborated with the engineering team to develop data-driven engineering designs and specifications for modifications and upgrades, enhancing the urea manufacturing process efficiency by 10%.
  • Implemented strategic maintenance and repair plans based on data analysis, reducing equipment downtime by 20% and increasing overall plant efficiency.
Jun 2018 - Jul 2020

Executive Trainee

Cochin Area, India

  • Participate in training covering refinery operations, safety, environmental regulations, and quality control, focusing on refining processes like distillation, catalytic cracking, hydro-processing, and product blending.
  • Gain hands-on experience with refinery equipment and technology, including operation, maintenance, and troubleshooting. Learn safety regulations, emergency response, and environmental protection through drills.
  • Learn quality control processes and testing methods for petroleum products. Conduct tests, interpret results, and ensure compliance. Collaborate with operations, maintenance, engineering, and logistics for.
Jun 2018 - Dec 2018
2 education records

Friday Ekpe education

Bachelor Of Engineering (B.Eng.), Chemical Engineering, Second Class (Upper Division)

Activities and Societies: Playing of chess, soccer and scrabble

FAQ

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What company does Friday Ekpe work for?

Friday Ekpe works for Self-employed.

What is Friday Ekpe's role at Self-employed?

Friday Ekpe is listed as Data Engineering and Analytics Instructor at Self-employed.

Where is Friday Ekpe based?

Friday Ekpe is based in United Kingdom, United Kingdom, United Kingdom while working with Self-employed.

What companies has Friday Ekpe worked for?

Friday Ekpe has worked for Self-Employed, Textron Specialized Vehicles, Vividx, Dangote Fertiliser, and Bharat Petroleum Corporation Limited.

How can I contact Friday Ekpe?

You can use AeroLeads to view verified contact signals for Friday Ekpe at Self-employed, including work email, phone, and LinkedIn data when available.

What schools did Friday Ekpe attend?

Friday Ekpe holds Msc Chemical Engineering, Chemical Engineering from Ahmadu Bello University.

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