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Eunice Gichuhi

Engineering undergrad, Data Analyst
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Learn About Me

Welcome to my portfolio!

I’m an aspiring engineer pursuing a Bachelor’s degree in Nanotechnology at the University of Waterloo.

I’m passionate about problem-solving and developing innovative solutions. I have experience in programming (Python, HTML, CSS) and data analysis/machine learning using tools like Pandas, NumPy, Matplotlib, Seaborn, and SciPy. Through coursework, I have gained skills in software such as COMSOL, AutoCAD, SQL, and MATLAB.

I’m currently seeking opportunities to collaborate with innovative teams and contribute to cutting-edge solutions in the tech industry. I’m eager to learn and grow as a valuable asset in my field.

Projects

Personal Projects

Data Journaling

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Customer Analysis

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My Resume

Work Experience

Jan 2024 - June 2024

Data Ananlyst

Telus Internional, Vancouver, BC

Remote

  • Conducted detailed reviews of AI-generated responses across domains like media, sports, and news with a 98% accuracy rate in protocol adherence.
  • Enhanced reliability of user-facing responses by identifying and resolving AI output inconsistencies, reducing error rates.
  • Leveraged downtime to explore company datasets, applying Python (Pandas, NumPy), SQL, and Excel for data cleaning and analysis techniques, improving reporting accuracy and supporting data-driven insights.
  • Took initiative upskill in SQL and Databricks, experimenting with querying databases and using Jupyter Notebooks to answer relevant business questions.

Jan 2023 - Apr 2023

Data Engineering Intern

AmLive, Toronto, ON

Hybrid

  • Utilized Python libraries such as Matplotlib, scikit-learn, SciPy and Seaborn to execute data analysis, and visualization techniques, for a total of 5 projects analyzing user listening patterns and playlist performance, supporting data-driven decision-making.
  • Assisted in the development of a data processing pipeline for analyzing streaming data and user interaction with content, utilizing MongoDB for optimized data storage and Databricks for enhanced data processing and collaboration, increasing operational efficiency over four months.
  • Participated in designing an ETL process aimed at aggregating data from different music streaming platforms to streamline data transformation from multiple sources leveraging SQL, Python, and Databricks for efficient data management and processing.

Eunice Gichuhi

Toronto, ON

+647-679-5545

Ewgichuh@uwaterloo.ca

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