Data Analysis Projects in Accra
Data Analysis Projects in Accra
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Mariam Lawal
Ghana Financial Inclusion Analysis (2017–2024)
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Anjana Maniyote
amaniyote/HR-Salary-Prediction
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75
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Isaac Somuah
Time Intelligence Analysis of Sales Data in Power BI
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12
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Emmanuel Antiri
Impact of new Educational Policy on Quality Tuition
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ANNA DUFIE AFRIYIE
Every element of this USA Road Accident Dashboard was developed to visualize accident patterns and their contributing factors across the country. Using Power BI, the dashboard highlights key insights such as the percentage of night accidents, visibility-related crashes, and geographical hot spots with the highest impact levels. Through interactive visuals and filters, it helps policymakers, transport authorities, and analysts identify risk trends, monitor safety performance, and make data-informed decisions to reduce accident rates nationwide.
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Mariam Lawal
Revenue Performance Analysis Project
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Anjana Maniyote
TCS-iON-RIO-125-HR-Salary-Dashboard---Train-the-Dataset-and-Pre…
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85
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ANNA DUFIE AFRIYIE
This Python-based Google Trends Analysis examines how global workout preferences changed across the pandemic. Using Pandas, NumPy, and Matplotlib, the study compares “home workout” and “gym workout” search trends across the U.S., Australia, Japan, Malaysia, and the Philippines. The findings reveal clear behavioral shifts—home workouts dominated 2020, but gym workouts now lead worldwide—offering valuable insights for fitness, wellness, and digital marketing decision-making.
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46
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Teye-Mensah Teinor
Data Analysis
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David Praise Francis-Omogbai
GitHub - Tonyflam/Data_Analysis_and-visualization
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6
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Mariam Lawal
Power BI Dashboard on Girl Child Education in Africa
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Anjana Maniyote
amaniyote/Car-Insurance-Claim-Prediction
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12
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Isaac Somuah
Breast Cancer Detection - Machine Learning
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11
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Digital Marketing Hub
Content Strategy And Analysis
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2
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Joel Opoku
Development of Quant_Model_Testbench
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Mariam Lawal
Excel Data Analytics Project | Revenue Performance Dashboard I built an interactive Revenue Performance Dashboard in Excel to analyze revenue, profit, and product performance across multiple years (2011–2014). 🔍 Key Insights from the Analysis: 1.North Cascade consistently led revenue generation, making it the primary growth driver across all years. 2.Coffee (http://2.Coffee) and Fresh Salads emerged as the top performing product groups, contributing the highest share of total revenue. 3. Convenience Stores generated the highest total revenue , indicating strong market reach. 4.Supermarkets recorded the strongest profit margins ,reflecting higher efficiency in cost and pricing structures. 5.Despite revenue growth over time, profit margins remained relatively stable (~26–28%), suggesting controlled cost structures rather than aggressive price increases. 6.A small number of products recorded negative margins, signaling pricing or cost inefficiencies that require attention. 📌 Strategic Recommendations 1.Increase investment in high-performing categories (e.g., Coffee). 2.Strengthen distribution through Convenience Stores to maximize revenue reach. 3.Reassess low-margin product pricing strategies. 4.Implement customer feedback systems to improve product positioning. 🛠 Tools & Skills Demonstrated: Microsoft Excel (Pivot Tables, Pivot Charts, Slicers) Data cleaning and transformation KPI design and dashboard storytelling Business performance and trend analysis This project reflects my approach to analytics: turning raw data into clear, actionable insights for decision-making.
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