Lionel Low

Experience

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  REC

  Jan 2018 - Sept 2019

  Drive for continuous improvement projects via lean six-sigma and kaizen methodology to improve solar cell’s output, yield, quality and cost. Manage all non-conformance material and scrap disposition in accordance with process control and quality related procedures. Involve in daily line sustaining, troubleshooting and establish new Standard Operational Procedures (SOP), Work Instructions (WI) and Risk Assessment (RA) for new processes. Oversee daily manufacturing activities to safeguard production goals set by management and to lead team of operators for achieving daily targets. Implement line operational procedures and ensure compliance with corporate requirements. Maintain optimum utilization of resources and WIP management efficiently.

  • Self-Managed Team (SMT) Engineer

    Jul 2018 - Sept 2019

  • Manufacturing Engineer

    Jan 2018 - Jul 2018
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  SCS Singapore Pte Ltd

  Oct 2019 - Nov 2020

  Process and Application Engineer

  Conduct engineering runs and evaluate new processes to improve yield, quality and cost. Support daily manufacturing production, troubleshooting and perform root cause analysis for any process/quality related issues. Coordinate with cross functional departments to implement new process/design. Liaise with Sales and Manufacturing departments to support customer’s parylene coating requisite.

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  Heraeus Materials Singapore Pte Ltd

  Nov 2020 - Apr 2022

  New Product Introduction Engineer

  New product introduction (NPI) and scale up of silver paste products, driving from R&D development phase, scale up qualification phase to high volume manufacturing (HVM) stages. Plan and direct project activities involved in new products between different functions. Set up new raw materials specifications and qualification of alternate suppliers. Create materials, documentation and specifications in SAP for new product transfer. Liaised with cross regional team on the transfer of products between production sites including training, validation and documentation. Show less

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  Illumina

  Apr 2022 - Dec 2022

  Product Lifecycle Management (LCM) Engineer

  Manage product transfer of medical device between sites. Conduct design of experiments (DOE) and participate in establishing operating process, equipment specifications and improvement. Evaluate qualification of new raw materials for alternate supplier sourcing. Work cross functionally to develop processes for new products and improve processes of existing products.

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  MSD

  Mar 2023 - Jun 2024

  Pharmaceutical Technical Operations Engineer

  Provides technical support to product, equipment and manufacturing process in response to deviations, product complaints and adverse events to identify point of occurrence, root cause and corrective/preventive actions. Proactively monitors the performance of process parameters, critical quality attributes, equipment, modules and unit operations performance during manufacturing and cleaning. Manages product portfolio activities such as documentation updates, quality risk assessment, change control management and process validation. Monitors and addresses potential regulatory risk and supports audit & compliance activities. Show less

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  Institute of Data

  Jul 2024 - Oct 2024

  Data Science and AI Graduate

  Capstone Project: Machine Failure Prediction & Anomaly Detection▪ Developed & deployed a predictive model for machine failure forecasting using Streamlit for cloud-based access. Created an unsupervised model for anomaly detection and built an interactive dashboard for real-time anomaly monitoring, optimizing maintenance schedules and enhancing operational efficiency. ▪ Methods used: EDA, Machine Learning, AutoEncoders, PowerBI, Streamlit▪ App Link: https://machine-prediction.streamlit.app/ Project 1: Anti-Money Laundering Transaction Monitoring & Streamlit App Deployment▪ Designed and deployed a predictive model to identify high-risk financial transactions, enhancing compliance with AML regulations and enabling real-time risk assessments for detecting suspicious activities. ▪ Methods used: EDA, Machine Learning, Streamlit, Network Analysis▪ App Link: https://risk-predictor.streamlit.app/ Project 2: Amazon Fake Review Detection & Sentiment Analysis▪ Performed text preprocessing, clustering and sentiment analysis to identify fake reviews. Utilized data insights to enhance review authenticity, improve customer trust and detect fraudulent patterns in product feedback.▪ Methods used: EDA, Machine Learning, DBSCAN, NLP, Sentiment Analysis via VADERProject 3: Inventory Optimization via Predictive Modelling▪ Performed exploratory data analysis and identified patterns to deliver insights and strategic recommendations using supervised machine learning for optimizing inventory management, preventing stockouts and overstock. ▪ Methods used: EDA, Machine LearningProject 4: Singapore Car Purchase Timing Analysis▪ Cleaned, analysed data to identify trends and performed hypothesis testing to provide actionable insights on optimal car purchase timing in Singapore, recommending periods with the lowest COE premiums. ▪ Methods used: EDA, Trending analysis, Hypothesis testing Show less