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Enoch Loy

Enoch Loy

Data Science | Data Analytics

Talent
SingaporeMember since September 19, 2023
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About

I'm a data professional with a record in delivering accurate models and actionable insights within tight timeframes. Some interesting data projects I have worked on include a predictive modelling application that classifies skin diseases using computer vision and provides valuable information on different conditions and their management. I've also built a binary classification model to predict subreddit origins based on user posts.

My journey began in the healthcare field, where I worked as a hospital pharmacist for 2 years. Driven by a deep commitment to lifelong learning, I proactively honed my skill sets, delving into diverse areas such as finance, investing, computer science fundamentals, programming languages, data analytics, and data science.

I was captivated by the transformative potential of data and its role in tackling complex challenges. I eventually made a pivotal decision to enroll in the Data Science Immersive Course at General Assembly.

Today, I stand as a firm believer in the inherent power of data to uncover valuable insights and enable informed predictions, empowering organizations to make better decisions.

Experience

PHARMACIST

Apr 2021 - Apr 2023
  • Established the pharmacy-led rheumatology service, which includes specialised counselling, creating tailored educational materials and optimizing medication use.
  • Achieved desired patient outcomes through a daily individual workload of approximately 60 prescriptions.

Education

GENERAL ASSEMBLY

May 2023 - Aug 2023
  • Received 480 hours of data science instructional content
  • Topics include Data Cleaning, Regression and Classification, Natural Language Processing, Clustering, Time Series, Neural Networks and others
  • Completed 4 machine learning projects and 1 project on data analysis

NATIONAL UNIVERSITY OF SINGAPORE

Aug 2016 - Jun 2020
  • Bachelor of Pharmacy (First Class Honours)
  • CAP 4.92
  • Dean's list for all semesters
  • Best Overall Performance in Pharmaceutical Chemistry Modules

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