• Collaborated with 10 AI enthusiasts globally to develop an interview chatbot, fostering teamwork and knowledge exchange.• Utilized the Large Language Model (Google Gemini), Retrieval Augmented Generation (RAG), and Vector database to architect the backend infrastructure of the chatbot, ensuring robust functionality.• Led a team of 4 people to build a Streamlit Web Application for the front end of the chatbot.• Presented the prototype to a community of 60 people, garnering valuable… Show more • Collaborated with 10 AI enthusiasts globally to develop an interview chatbot, fostering teamwork and knowledge exchange.• Utilized the Large Language Model (Google Gemini), Retrieval Augmented Generation (RAG), and Vector database to architect the backend infrastructure of the chatbot, ensuring robust functionality.• Led a team of 4 people to build a Streamlit Web Application for the front end of the chatbot.• Presented the prototype to a community of 60 people, garnering valuable feedback for iterative improvements. Show less

Project 1: Contribution Margin KPI Report• Designed and implemented a robust ETL pipeline using Azure Data Factory to extract margin-related data from SAP and SharePoint to the bronze layer of Azure Data Lake Gen2.• Developed and managed data transformation workflows in Azure Databricks, moving data through the bronze, silver, and gold layers of Azure Data Lake Gen2, ensuring the highest quality datasets.• Utilized Azure Synapse Analytics to warehouse the cleansed data in a… Show more Project 1: Contribution Margin KPI Report• Designed and implemented a robust ETL pipeline using Azure Data Factory to extract margin-related data from SAP and SharePoint to the bronze layer of Azure Data Lake Gen2.• Developed and managed data transformation workflows in Azure Databricks, moving data through the bronze, silver, and gold layers of Azure Data Lake Gen2, ensuring the highest quality datasets.• Utilized Azure Synapse Analytics to warehouse the cleansed data in a serverless SQL database.• Ensured secure data handling and access management by integrating Azure Active Directory for authentication and Azure Key Vault for managing sensitive information and secrets. • Connected Synapse Analytics Data Warehouse into Power BI, creating 2 KPI Reports in Power BI to analyze contribution margin for 30 plants, improving profit margin insights.• Conducted data modeling for accurate report relations.• Used DAX and Power Query to calculate margins efficiently, aiding in strategic decision-making with a 50% time reduction.Project 2 and 3: Freight Cost and Energy Efficiency KPI Report• Utilized advanced SQL, including Data Modeling, Joins, and Alter Table, in the MySQL database to clean and preprocess the data of the logistics and sustainability department.• Developed Excel-based KPI reports for freight cost and energy efficiency analysis, enhancing cost visibility and control.• Utilized Pivot Table for exploring cost patterns and identifying cost-saving opportunities.• Used Pivot Tables to monitor energy usage patterns and identify areas for improvement.• Reduced manual reporting time by 20 hours for both logistics and sustainability departments.Project 4: Electric Vehicle Forecasting• Leveraged TensorFlow and time series forecasting models (ARIMA, Prophet, and LSTM) to train 23 years of car sales data to forecast EV production until 2040.• Provided insights into EV production trends for long-term strategic planning at Kautex. Show less

• Performed in-depth data analysis and preprocessing on 9 years of medical data (273,000 patients) for 28 cardiovascular and 5 metabolic diseases using Python (Pandas, NLTK).• Built a scikit pipeline for data preprocessing and training 6 machine learning models, including hyperparameter tuning, to identify various disease types, leading to a 25% increase in data-driven decision-making efficiency at Siegen Rescue Station.• Achieved an impressive F1 score of 93% through fine-tuning… Show more • Performed in-depth data analysis and preprocessing on 9 years of medical data (273,000 patients) for 28 cardiovascular and 5 metabolic diseases using Python (Pandas, NLTK).• Built a scikit pipeline for data preprocessing and training 6 machine learning models, including hyperparameter tuning, to identify various disease types, leading to a 25% increase in data-driven decision-making efficiency at Siegen Rescue Station.• Achieved an impressive F1 score of 93% through fine-tuning Transformer models (BERT, RoBERTa, and DistilBERT) in PyTorch for sentiment analysis of patient comments, resulting in a 30% improvement in patient satisfaction evaluation.• Created impactful Power BI visualizations to effectively communicate data insights from data analysis and sentiment analysis to improve patient care and treatment strategies. Show less

Coraza Systems Malaysia is a sheet metal fabrication company.• Leveraged Solidworks to design and develop 12 new products, showcasing an understanding of manufacturing processes and product lifecycle.• Utilized Industry 4.0 technologies like MATLAB Simulink for process modeling, optimizing production efficiency, and achieving a 3% reduction in cycle time for the manufacturing department.•Developed and maintained comprehensive documentation, including Standard Operating Procedures… Show more Coraza Systems Malaysia is a sheet metal fabrication company.• Leveraged Solidworks to design and develop 12 new products, showcasing an understanding of manufacturing processes and product lifecycle.• Utilized Industry 4.0 technologies like MATLAB Simulink for process modeling, optimizing production efficiency, and achieving a 3% reduction in cycle time for the manufacturing department.•Developed and maintained comprehensive documentation, including Standard Operating Procedures (SOPs) and Work Instructions, ensuring standardized procedures for the 6 different processes.• Collaborated with cross-functional teams, actively participating in problem-solving sessions, proposing innovative ideas, and adapting to evolving project requirements for continuous improvement. Show less