Alfred M. Kondoro

Data Analyst | Developer

Marital Status: Single
Email: alfredkondoro97@gmail.com
Address: Seoul, South Korea

Contact Information

Skill

Graphics Designing

Web Development

Data Cleaning, Analytics

Machine Learning

About Me

I am a dynamic and results-oriented Web Developer and Data Analyst. In my role, I harness a diverse skill set encompassing web design, graphic design, web graphics, SQL, PHP, and HTML to conceive, develop, and maintain websites and applications for a myriad of projects, including the Swahili Fashion Week and Harusi Awards. My forte lies in transforming raw data into actionable insights that fuel strategic decision-making, employing techniques such as data visualization, statistical analysis, and data mining.

Driven by an intrinsic passion for leveraging data to tackle intricate challenges, I excel in collaborative environments. Thriving on interdisciplinary cooperation, I actively engage with teams across various departments to foster innovation and spur growth. Currently advancing my academic journey, I am pursuing a Master's in Intelligence Computing with a focus on Data Science and Artificial Intelligence at Hanyang University.

My commitment to continuous improvement is reflected in my proactive approach to learning. Eager to absorb new skills and stay abreast of emerging technologies, I am dedicated to both professional development and personal growth. The prospect of utilizing my creative and analytical prowess to effect positive change in the world fuels my motivation. I am excited about the opportunities ahead, where I can contribute meaningfully and make a lasting impact through my expertise.

Internships

  • 2016 | Science & Technology Innovation Centre and Laboratories STIC labs
  • 2019 | National Council for Technical Education and Vocational Education and Training (NACTVET)

Past Work Experience

Areas of Research

  • Predictive models for disease diagnosis, treatment optimization, and public health planning.
  • Algorithmic trading strategies based on data-driven insights.
  • Automated processes for data cleaning and quality assurance.
  • Recommendation engines to enhance user experience in areas such as e-commerce or content platforms.
  • Extracting meaningful insights from social media data for marketing and brand management.
  • Solutions for automated text summarization, sentiment analysis, and topic modeling for social media sentiment and trends.

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