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πŸ“§ Contact Me

  • Email: ssulaihasubi@gmail.com
  • LinkedIn: linkedin.com/in/sulaihasubi/
  • πŸ“Œ Career Objective

    Strong analytical thinker with problem-solving and presentation skills. Seeking to leverage on model development experience and strong understanding in predictive modeling, and computer vision with a solid computer science background and understanding of machine learning & data science will be utilized. Bringing hands-on experience, excellent collaboration and communication skills, as well as programming skills.✨

    πŸ’» Professional Experiences

    MARQETR Kuala Lumpur, MY

    Data Scientist Jan 2022 - Dec 2022

    • Work with stakeholders to identify opportunities for leveraging company data to drive business solutions
    • Mine and analyze data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies
    • Design and develop custom and scalable predictive algorithms to apply to data sets
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques
    • Use predictive modelling to increase and optimise customer experiences, revenue generation, targeting and other business outcomes
    • Collaborate with engineering team to bring analytical prototypes to production
    • Develop company A/B testing framework and test model qualitys
    • Generate actionable insights for business improvements
    • Develop processes and tools to monitor and analyze performance and data accuracy

    RiseHill Data Analysis Kuala Lumpur, MY

    Data Scientist Jun 2021 - Dec 2021

    • Ensure the data quality by performing data cleaning, normalization & enrichment
    • Working on every aspect of Data Analytics and Predictive Modelling
    • Develop data models and algorithms to apply to data sets
    • Used Machine Learning algorithms & statistical techniques to produce solutions to the business problems
    • Conduct research from which to develop prototypes and proof of concepts (POC)
    • Built ML workflow & designated experiments to supply tailored reports to the manager, and potential clients
    • Applied cutting-edge Computer Vision skills for POC in face recognition & counting for productivity measurements
    • Built and test Machine Learning model in Dataiku DSS Platform to select the most appropriate ones for use on a project
    • Develop new client relationships/potential collaboration
    • Meet & present the company's product/services & highly responsible to prepare high business value commercial proposals across different domains of the industries (client-facing skills)
    • Achievement: Utilize extensive knowledge in Data Science & Computer Vision such as developed predictive modeling, abilities to extract, clean, and prepare data for data science model ingestion and communicate those complex & technical outputs to the business peoples or industry experts

    Omdena New York, NY

    Machine Learning Engineer (Part-Time) Sep 2021 - Dec 2021

    • One of the collaborators out of 47 AI Engineers from 18 Countries (8 weeks challenge)
    • Build an automated plant health prediction model, using drone-derived multispectral and thermal data combined with weather and irrigation data
    • Train a model to detect water stress, pest infestation, and man-made plant stress
    • Tools: QGIS, DAGsHub, GoogleColab, DVC

    PULSY Technology Cyberjaya, MY

    Associate Software Engineer Apr 2021

    • Monitor and maintain the current system of Novartis and CBRE such as debugging and keep eye on the functionality of the systems
    • Monitor AWS Management Console of Novartis and CBRE to manage their resources and well functions
    • Provide documentation for the design, development, integrations, and deployment of the web app
    • Work with IoT Engineer to perform and design testing protocols/prototypes to ensure that the product is fully tested before the deployment
    • Ensure that all enhancements, bug fixes, and tasks assigned are well documented
    • Able to teach and presents the programming or back end part to other team members to ensure they understand how the code works and functions at the back end side
    • Contributor to the team member to ensure the project requirements are met

    Terra Weather (Apprenticeship) Singapore, SG

    Deep Learning Infrastructure Development Sep 2020 – Jan 2021

    • Part-time Apprenticeship
    • Develop new TW Caffe layers enhance data processing pipeline
    • Optimize the TW Caffe backend
    • Develop new layers using C++ and Smojo
    • Extend the Willow of Smojo-to-C compiler
    • Integrating open-source framework, ZeroMQ to streaming real-time I/O using C++

    Shoppegram Cyberjaya, MY

    Digital Marketer Sep 2020 – Apr 2021

    • Product Research & Product Sourcing
    • Manage E-Commerce Store & Run Facebook campaigns for each product
    • Analyze data and report
    • Manage supply chain

    Skymind Kuala Lumpur, MY

    Junior Deep Learning Engineer (Trainee) Apr 2020 – Jun 2020

    • Trained by Skymind’s experienced Deep Learning Engineer on how to effectively use Deep Learning tools to create Computer Vision Models for productions
    • Understand the state of the art of advanced machine/deep learning concepts, theory, and applications Deep Learning model development from deploying deep learning to production
    • Hands-on with a large data set, learn algorithms, build models, and verify them
    • Improved (fine-tune) deep learning models
    • Used advanced techniques and algorithms of Deep Learning for Computer Vision
    • Knowledgeable in how to image processing, image classification, object detection to image segmentation, using the Deeplearning4j framework
    • Knowledge in machine/deep learning, optimization, probability theory, and statistical inference
    • Powerfully used programming in Java using IntelliJ IDEA and Python
    • Achievement: Utilize extensive knowledge in deep learning to complete a Computer Vision Project (Face Recognition) within two days (meet the project timelines)

    Department of Information System Kuching, SWK

    Internship Feb 2017 – July 2017

    • Debugged Service-Learning System for Local Support
    • Performs upgrades and maintenance to the Service-Learning System
    • Information and data gathering to be inserted into the Service-Learning System
    • Managed the database of SL System
    • Develop a website for the promotional and latest information about SL Projects including contents writing & web designing
    • Performed research about SL & communicated the research both internally & externally to the Service-Learning’s Advisor
    • Engaged in team collaborations to meet the goals for implementation of Service Learning
    • Achievement: Utilize extensive knowledge in a programming language such as PHP, HTML, MySQL, MySQLi, CSS, & database management to complete the SL System & SL website within the time frame

    πŸŽ“ Education

    University Malaysia Sarawak (UNIMAS) Kuching, SWK

    Bachelor of Computer Science with Honours 2014 – 2019

    • Major in Information System

    Labuan Matriculation College Labuan, FT

    Biology, Chemistry, Computer Science 2013 – 2014

    • Core Subjects: Biology, Chemistry, Computer Science

    πŸ“ Projects & Publications

    Please visit my Publication and Portfolio for more details.

    🦾 Skills

    • Programming Languages: Python, JSON, HTML, HTML5, CSS, PHP, MySQL, NoSQL, Java, C++, R, Java Script, Prolog, XML, LateX
    • NLP: Named Entity Recognition (NER), Text Pre-Processing using SpaCy
    • Computer Vision: Face Recognition, Video Analysis, Image Processing, OCR
    • Tools: IntelliJ IDEA, Adobe Dreamweaver CC 2017, Microsoft Visual Studio, Tableau, Weka, Eclipse, Notepad++, Rapid Miner, TeXstudio, CUDA, Maven, Laravel, Firebase, Dataiku, PyCharm, Jupyter Notebook, Google Colab & VS Code
    • Others: AWS EC2, Dataiku, Tableau, SAS, DAGSHub, Data Vision Control (DVC)