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Daniel Y. - , React Native, nextjs

My name is Daniel Y. and I have over 4 years years of experience in the tech industry. I specialize in the following technologies: React, JavaScript, Bootstrap, Tailwind CSS, CSS, etc.. I hold a degree in Bachelor of Science (BS), Master's degree. Some of the notable projects I’ve worked on include: Webapp UI Upgrade, Sales Data Analysis and Visualization for Strategic Decision-Making, Sales Data Analysis and Visualization for Strategic Decision-Making, Sales Data Analysis and Visualization for Strategic Decision-Making. I am based in London, United Kingdom. I've successfully completed 4 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • 4 years

  • React

    1 Year

  • JavaScript

    3 Years

  • Bootstrap

    2 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Webapp UI Upgrade

Give the OnePageCRM webapp a modern facelift

Sales Data Analysis and Visualization for Strategic Decision-Making

Analyzed and visualized large sales datasets to uncover trends, optimize product performance, and support strategic decision-making. Using Python (Pandas, Matplotlib) and Power BI, I cleaned raw data, conducted in-depth analysis, and designed interactive dashboards to track key performance indicators (KPIs). The solution enabled stakeholders to identify high-performing regions, forecast revenue growth, and implement targeted strategies, leading to a 15% increase in sales efficiency.

Sales Data Analysis and Visualization for Strategic Decision-Making

Analyzed and visualized large sales datasets to uncover trends, optimize product performance, and support strategic decision-making. Using Python (Pandas, Matplotlib) and Power BI, I cleaned raw data, conducted in-depth analysis, and designed interactive dashboards to track key performance indicators (KPIs). The solution enabled stakeholders to identify high-performing regions, forecast revenue growth, and implement targeted strategies, leading to a 15% increase in sales efficiency.

Sales Data Analysis and Visualization for Strategic Decision-Making

Analyzed and visualized large sales datasets to uncover trends, optimize product performance, and support strategic decision-making. Using Python (Pandas, Matplotlib) and Power BI, I cleaned raw data, conducted in-depth analysis, and designed interactive dashboards to track key performance indicators (KPIs). The solution enabled stakeholders to identify high-performing regions, forecast revenue growth, and implement targeted strategies, leading to a 15% increase in sales efficiency.

Education

  • Kwame Nkrumah University of Science and Technology

    Bachelor of Science (BS) in Construction Management

    2011-01-01-2015-01-01

  • Northeastern University

    Master's degree in Data Analytics

    2024-01-01-2026-01-01

Languages

  • English

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