Summary
Overview
Work History
Education
Skills
Accomplishments
Languages
Certification
Work Availability
Software
Interests
Research
Websites
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Hiruni Perera

Hiruni Perera

Carlton,VIC

Summary

Aspiring Data Scientist with a strong foundation in Computer Science and a keen interest in leveraging data to solve complex problems. Currently pursuing a Master of Data Science at RMIT University, Melbourne. Proficient in R, Python, SQL, Machine Learning, NLP, Neural Networks, data mining and data visualization. Eager to apply strong analytical skills and programming expertise to contribute to innovative projects and drive data-driven decision-making.

Overview

3
3
years of professional experience
5
5
years of post-secondary education

Work History

UI/UX Engineer

Applova INC.
06.2022 - 04.2023
  • UI/UX Design: Created wireframes and interactive prototypes for kiosks, web stores, merchant portals, and business manager platforms to enhance user experience.
  • Front-End Development: Designed and developed SEO-optimized web pages using Figma, Tailwind CSS, Bootstrap, and ReactJS.
  • User Research and Analysis: Utilized tools like Lucky Orange, Microsoft Clarity, Google Analytics, and Excel to conduct in-depth user behavior analysis and A/B testing.
  • Cross-Functional Collaboration: Worked closely with cross-functional teams, including developers, product managers, and marketing teams.
  • Project Management: Managed 4 end-to-end design projects from inception to launch.

Software Engineer Intern

Whitestar Web Solutions Pvt. Ltd.
07.2020 - 06.2021
  • UI/UX Design: Created wireframes and prototypes, focusing on user experience and accessibility.
  • Front-End Development: Developed responsive and interactive web pages using HTML, CSS, JavaScript, and WordPress. Ensured SEO best practices.
  • Back-End Development: Contributed to large-scale Laravel projects, leveraging tools like Homestead and TravisCI for efficient development and deployment.
  • Cloud Computing: Independently managed over 5 major projects from inception to deployment, including hosting and deploying on AWS.
  • Team Leadership: Mentored and trained new interns, fostering a collaborative and efficient work environment.

Summer Intern

RevPortX
06.2019 - 09.2019

Education

Master of Science - Data Science

RMIT University
Melbourne
07.2023 - Current

Bachelor of Science - Computer Science

University of Westminster
United Kingdom
01.2019 - 10.2022

Skills

  • Project management
  • Data analysis
  • Data Visualization
  • Problem resolution
  • Software development
  • Production design
  • Public Speaking/Presenting

Accomplishments

  • Top 12 finalist in Startup Weekend Global, Singapore 2021.
  • Winner of Startup Weekend Riga 2021
  • Top 10 finalist in IceBreakers'21, Latvia

Languages

English
Full Professional

Certification

  • Neural Networks and Deep Learning by DeepLearning.ai 2021
  • Improving Deep Neural Networks: Hyperparameter Tuning Regularization and Optimization by DeepLearning.ai 2021
  • AWS Cloud Practitioner Certificate by Amazon Web Services 2023

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Software

Python

R

Matplotlib & Seaborn

TensorFlow

SQL

Scikit-Learn

Pandas & Numpy

HTML/CSS

ReactJS

Bootstrap & Tailwind

Figma

Interests

Legal Tech

Data Analysis

Volunteering

Music

Research

Neural Machine Translation of Legal Documents for Low Resource Languages

  • Developed a neural machine translation system leveraging encoder-decoder architectures and transformer-based pre-trained models (e.g., MT5). Tools like PyTorch/TensorFlow were used, focusing on low-resource languages like Sinhala-English translation.
  • Addressed the complexity of legal document translation, characterized by lengthy, domain-specific texts. Existing solutions struggle with limited datasets and fail to capture the semantics and context effectively.
  • Proposed a domain-specific neural machine translation system optimized for low-resource languages, incorporating preprocessing, a tailored translation model, and evaluation mechanisms (e.g., BLEU scores) to enhance accuracy and reduce translation time and errors.
Hiruni Perera