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EMMANUEL O. Data Visualization, Business Intelligence and Python Platforms

My name is EMMANUEL O. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Microsoft Power BI Data Visualization, Data Analysis, Microsoft Excel, Looker Studio, Data Visualization, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Trade and Customs Analysis using Python and Power BI, Perfume Market Insights Dashboard – Power BI & Power Query, Analyzing Mobile Phone Trends and Consumer Preferences, Global Population & Migration (Trends, Impacts, and Implications), Customer Analysis That Unlocks the Power of Data-Driven Growth!, etc.. I am based in Lagos, Nigeria. I've successfully completed 7 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • Data Visualization, Business Intelligence and Python Platforms

    2 years

  • Microsoft Power BI Data Visualization

    1 Year

  • Data Analysis

    1 Year

  • Microsoft Excel

    1 Year

Additional skills

  • Microsoft Power BI Data Visualization
  • Data Analysis
  • Microsoft Excel
  • Looker Studio
  • Data Visualization
  • Data Entry
  • Business Intelligence
  • Python
  • Google Sheets
  • Data Cleaning
  • Data Interpretation
  • SQL
  • Analytical Presentation
  • Quantitative Research
  • Automated Workflow

Direct hire

Potentially possible

Previous Company

Interswitch

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Experience Highlights

Trade and Customs Analysis using Python and Power BI

Primary Objective Analyze trade and customs data to gain insights. Improve revenue collection and risk management. Shift from reactive to proactive, data-driven trade analysis. Secondary Objectives Improve Efficiency: Identify top importers, key trading partners, and high-volume products to streamline processes and better allocate resources. Enhance Compliance: Detect high-risk transactions and patterns to target and stop illegal trade activities. Support Policymaking: Provide clear data summaries to help policymakers make informed decisions on trade policies, tariffs, and regulations.

Perfume Market Insights Dashboard – Power BI & Power Query

Transformed 2,000 eBay perfume listings into an interactive Power BI dashboard that uncovers pricing trends, top brands, and high-demand regions. Used Power Query for data cleaning and merging, then built dynamic visuals to empower fast, data-driven decisions.

Analyzing Mobile Phone Trends and Consumer Preferences

PROBLEM STATEMENT The project aims to help app developers, marketers, and stakeholders in the competitive smartphone industry by analyzing vast datasets, including product specifications, pricing, and consumer feedback. It focuses on three key objectives: ( A) Interpret Consumer Feedback: Analyze reviews and ratings to understand consumer preferences and satisfaction. (B) Identify Trends: Examine correlations between product features, pricing strategies, and sales performance. (C) Develop Insights: Create actionable insights to shape competitive strategies in the mobile phone market.

Global Population & Migration (Trends, Impacts, and Implications)

INTRODUCTION Global development, socio-economic policies, climate change, and resource allocation are critical factors influencing Population growth and migration. PROBLEM STATEMENT Today, the world is witnessing significant Demographic shifts driven by population growth and migration. These changes have profound implications for economic stability, social cohesion, and resource allocation. GOALS Analyze population size, growth rates, and net migration trends across continents and countries and over time. The world bank data API for 186 countries from 1960 to 2023 was used

Customer Analysis That Unlocks the Power of Data-Driven Growth!

Project Description: Developed a Power BI dashboard for customer segmentation, analyzing 53,500+ entries. Key insights Segment 2 generated the highest income ($2.20bn). Entrepreneurs and Salespersons drove significant revenue (0.99bn). Higher education levels (e.g., Doctorate) correlated with higher income. Recommendation: Focus on Segment 2, high-income occupations, and educated customers for targeted campaigns to maximize ROI. #DataAnalysis #PowerBI #CustomerSegmentation #DataDrivenDecisions

Education

  • ESTAM Segbeya, Cotonu, Republic Of Benin

    Bachelor of Science (BS) in

    2023-01-01-2026-01-01

Languages

  • English
  • French