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株式会社エキュメノポリス / Data Engineer
My Contact and Portfolio: https://linktr.ee/jaris_fenner
I proudly wear the hat of a Data Scientist, fueled by the goal to contribute to AI's evolution and make it more accessible to all. I am thrilled about the journey ahead!
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tbd
• Automated data cleaning process from 8 different data sources. • Developed application and simple user interface to reduce time spent on manual data. cleaning from up to 3h/customer to ~1min/customer. • Created Power BI dashboards to gather and display extracted information
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• Supported 14 students during practical challenges by answering questions. • Explained coding, Machine and Deep Learning principles in a simplified and easy to understand manner.
Showcasing some of my personal projects and publications.
• Assisted the startup by consulting on database structures, DI model building and event planning. • Tested and compared Auto ML functions of GCP, AWS and Azure. • Mentored intern class of 2024 by instructing them in the Python language and helped building the initial backend infrastructure.
9-week full-time intensive coding bootcamp to learn Data Science with Python: Data Analytics with SQL, BigQuery, Pandas, Numpy, and Matplotlib; Statistics with Scipy, Seaborn and
• Transformed a non-existent repair infrastructure into a thriving repair center, successfully scaling annual repairs from 0 to 500+ within Japan • Enhanced technical support efficiency by resolving a substantial amount of customer queries per week, maintaining a customer satisfaction rate of over 85%.
Freelance / Personal Projects
Tomatoes are one of the most extensively grown vegetables in any country, and their diseases can significantly affect yield and quality. Accurate and early detection of tomato diseases is crucial for reducing losses and improving crop management. In this project, I applied the power of Deep Learning to detect and classify the various stages of blight in tomato leaves, making automation of disease detection more efficient and accessible.
github.com
