Unlock Global Market Insights with Professional Trade Intelligence

Unlock Global Market Insights with Professional Trade IntelligenceUnlock Global Market Insights with Professional Trade Intelligence

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gtddd service05

• Feb 17

Businesses require trustworthy trade intelligence to comprehend market dynamics and maintain their competitiveness in an increasingly interconnected global economy. For research purposes, the global import-export database is a critical resource for obtaining exact and full trade data solutions for all business sectors to conduct international trading research.

Goodness Mbene

• May 13

Data Entry & Analysis Training Project — California Cities & Parks The task: Required accurate research, data entry, and analysis of the 10 largest cities in California, capturing geographical size, number of parks, and population figures for 2024.

What I did: Researched and inputted data for 10 California cities across three key metrics — geographical size, number of parks, and population. Organised the data into a clean, structured spreadsheet, cited all sources, and created a bar chart visualising population distribution across all 10 cities for easy comparison.

The outcome: Delivered a complete, well-sourced dataset with visual analysis that makes it easy to identify patterns for example, San Diego has the highest number of parks (400) despite not being the largest city by area or population. Tools used: Microsoft Excel / Google Sheets

Data Analysis Research Microsoft Excel Google Sheets

Timothy Adewuyi

• May 13

Leand generation and data scraping

Data Entry Lead Generation Google Sheets

Kamilla Kurmanova

• May 13

Built a custom analytics workspace designed to transform complex business data into actionable insights and strategic recommendations.

Analyzed operational, customer, and product data to identify performance drivers, uncover inefficiencies, and support data-driven decision-making across multiple business areas.

The analysis included: • Business performance analysis • Customer & segment analysis • Trend and driver analysis • KPI development • Operational insights • Data storytelling & recommendations • Executive reporting

Key outcomes included identifying high-value customer behaviors, operational bottlenecks, conversion drivers, and growth opportunities through structured data analysis and insight generation.