Essien Heng's professional profile picture

About Me

Heng Yi Sheng pursued his BSc in Computer Science at Asia Pacific University, Malaysia, followed by a MSc in Data Science at University of Bristol, UK. His academic journey has been complemented by contributions to the field, including the publication of two research papers in conferences such as Future Technologies Conference (FTC) 2022 and International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2024. Notably, his dedication and innovative approach were recognized with the AWS Special Award at the RHB datathon - Get Your Hack On: Data Edition 2022. He is proficient in an array of data science tools such as Python, R, SQL, PowerBI, and many more, whereby he possess a diverse skill set refined through rigorous academic training and practical real-world applications.

Contact Details

Heng Yi Sheng (Essien)
+6012-8283390
yishenghengapu@gmail.com

Download Resume

Education

University of Bristol | United Kingdom

MSc Data Science • Sept 2022 - Sept 2023

  • Recipient of the Think Big Scholarship
  • Appointed as a Postgraduate Student Ambassador
  • Modules: Technology, Innovation, Business and Society, Large-Scale Data Engineering, Statistical Computing and Empirical Methods, Introduction to Data Analytics, Advanced Data Analytics, Introduction to Artificial Intelligence, Data Science Mini-Project
  • Dissertation: Content Rating Classification in Fan Fiction using Active Learning and Explainable Artificial Intelligence (XAI)

Asia Pacific University of Technology and Innovation | Malaysia

BSc Computer Science (Data Analytics)• Feb 2019 - May 2022

  • First Class Honour
  • Two Awards: The University Prize for Best Project and The University Prize for Best Student
  • Dissertation/FYP: Machine Learning and Explainable Artificial Intelligence (XAI) in Credit Risk Modelling
  • My final year project was published at the Future Technologies Conference 2022
  • Organizing committee for Earth Hour, International Cultural Night, Sports Carnival and Charity Bazaar during my tenure as Student Representative Council

Work

Bank Negara Malaysia

Digital Graduate Analyst • October 2023 - Present

  • Kijang Graduate Programme 5.0
  • 1st rotation: Innovation Lab (Jabatan Teknologi Korporat)

iPrice Group Sdn. Bhd.

Business Intelligence Intern • March 2021 - July 2021 (internship)

  • Assisted in weekly traffic report, weekly business performance deck, sprint review and monthly report
  • Played a role in writing analysis highlights about iPrice weekly web traffic and performances
  • Helped iPrice to identify opportunities to enhance their business performances
  • Skills: SEO tools such as Screaming Frog, Ahrefs, SimilarWeb, Google Analytics and Google Search Console
  • Some of my notable mini projects include script automation, data cleaning & manipulation, ad-hoc analysis

Skills

This section highlights my expertise in domain knowledge and programming skills which includes:

  • Python
  • SQL
  • R
  • Java
  • Dashboard (Power BI/Tableau)
  • Generative AI
  • Machine Learning & AI
  • Natural Language Processing
  • Cloud Computing (AWS)

Check Out Some of My Works/Publications.

Other Achivements

  1. RHB Get Your Hack On: Data Edition 2022 | AWS Special Award + TOP 15 Finalist (Group Leader)
    • Featured in "The Star" Newspaper Media
  2. MNNF Network Final Year Project & Postgraduate Research & Innovation Poster Competition | Gold Award
  3. Recipient of Think Big Scholarship (University of Bristol) & Merit Scholarship (Asia Pacific University)
  4. AIA Malaysia Hackathon 2022
  5. Shopee Code League 2021
  6. PYPRO Comptetition 2021

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