Hi, I am Daniel Dogbey

An automated cloud data pipeline to extract, transform, and visualize semiconductor market data using AWS services and Power BI.

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An in-depth analysis of global illicit drug supply chains, focusing on opioids, amphetamines, and cocaine, with insights into youth usage trends, production hotspots, and socio-economic impacts.

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A comprehensive Power BI analysis uncovering $13.6B in total funding, sectoral trends, and investor impacts across Africa's tech ecosystem..

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A comprehensive Power BI visualizing revenue, sales , profit etc for different types of cameras sold across 4 countries

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A comprehensive Power BI dashboard visualizing pending purchase orders (billing/receipt) to identify delays, vendor performance, and trends, enabling actionable insights for procurement efficiency.

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An interactive Power BI report analyzing global displacement trends (2023) to uncover insights on natural disasters and climate impacts

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An interactive Looker Studio dashboard visualizing revenue, sales , profit etc for Fast food items sold

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Story telling with data using an interactive Looker Studio report for the Africa Tech Funding project developed in Power BI

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Power BI dashboard & Python data analysis (EDA) of Q2 Trending/Viral Videos in 2021

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Power BI Analysis of sales data from over 100 store locations to identify trends and provide actionable insights.

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Python analysis of PharmaCrest's financial data with revenue predictions using ARIMA and Random Forest models.

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Python data analysis of the impact of rainwater harvesting systems on crop yields and drought resilience in semi-arid farming regions, revealing insights into water management strategies.

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Developed a credit scoring model using Python and SQL to predict loan repayment likelihood based on alternative data for the Unbanked in Africa, including mobile usage and transactional data, achieving 60% accuracy with insights on high-risk and low-risk customer behaviors.

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Python Exploratory Data Analysis of Data Science job listings scraped from Job Boards & Machine Learning Predictions

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Python analysis of automobile fuel consumption & CO2 emissions with Machine Learning Prediction .

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Python & SQL data analysis on population dataset.

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Python analysis of automobile fuel consumption & CO2 emissions with Machine Learning Prediction(Simple Regression) .

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Analyzing & Visualizing fuel consumption trends for key metrics such as MPG (Miles Per Gallon), horsepower etc

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Python Analysis & Classification of customers with Machine Learning Prediction.

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SQL Analysis subscription churn rates for a SaaS company across two distinct user acquisition segments over a

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SQL Project to segment RPA's users based on various criteria to enhance targeted marketing strategies.

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Excel Analysis of global fast food chain,focusing on pricing distribution across locations.

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Power BI Analysis & Visualization of the Hiring Trends for the Top Tech Companies in the USA.

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Power BI analysis and visualization of voice quality for the top two telecom companies in Ghana, MTN and Telecel (formerly Vodafone)

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