𝑻𝒂𝒔𝒌𝒔:➠ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: R&D on Machine Learning approaches to automate process control and quality assurance on baby diapers manufacturing.➠ 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Collect, clean, preprocess, combine and analyze multiple real-world datasets from different domains.➠ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝗹𝗹𝗮𝗯.: Collaborate with a team of 6 Microsoft experts on a 3-month feasibility study project.➠ 𝗧𝗵𝗲𝘀𝗶𝘀: Write a thesis report including literature review, experiments, conclusions and… Show more 𝑻𝒂𝒔𝒌𝒔:➠ 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: R&D on Machine Learning approaches to automate process control and quality assurance on baby diapers manufacturing.➠ 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Collect, clean, preprocess, combine and analyze multiple real-world datasets from different domains.➠ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝗹𝗹𝗮𝗯.: Collaborate with a team of 6 Microsoft experts on a 3-month feasibility study project.➠ 𝗧𝗵𝗲𝘀𝗶𝘀: Write a thesis report including literature review, experiments, conclusions and future work suggestions. Show less

𝑪𝒐𝒖𝒓𝒔𝒆𝒔 (𝟏𝟐) :Machine Learning, Data Analysis, Computer Science 1 & 2, Computer Science Skills 1 & 2, Programming, Data Structures & Algorithms, Software Engineering.𝑻𝒂𝒔𝒌𝒔:➠ 𝐋𝐚𝐛 𝐂𝐨𝐨𝐫𝐝𝐢𝐧𝐚𝐭𝐢𝐨𝐧: Give instructions to students, answer questions and provide feedback.➠ 𝐆𝐫𝐚𝐝𝐢𝐧𝐠: Grade report and coding assignments, provide comments and suggestions.

𝙋𝙧𝙤𝙟𝙚𝙘𝙩:The project was a Case Study regarding a Retail Consultancy Assignment. The goal was to assist a local retailer in strategic and operational management. Our responsibility was to give recommendations regarding ordering decisions and staff planning, to cut down on costs and increase revenue. We successfully optimized our margins using the following methods:➠ 𝐂𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐚𝐥𝐬 (ordering of dry foods)➠ 𝐒𝐢𝐧𝐠𝐥𝐞 𝐏𝐞𝐫𝐢𝐨𝐝 𝐌𝐨𝐝𝐞𝐥𝐬… Show more 𝙋𝙧𝙤𝙟𝙚𝙘𝙩:The project was a Case Study regarding a Retail Consultancy Assignment. The goal was to assist a local retailer in strategic and operational management. Our responsibility was to give recommendations regarding ordering decisions and staff planning, to cut down on costs and increase revenue. We successfully optimized our margins using the following methods:➠ 𝐂𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐚𝐥𝐬 (ordering of dry foods)➠ 𝐒𝐢𝐧𝐠𝐥𝐞 𝐏𝐞𝐫𝐢𝐨𝐝 𝐌𝐨𝐝𝐞𝐥𝐬 (ordering of fresh foods)➠ 𝐋𝐢𝐧𝐞𝐚𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 (staff planning) Show less

𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔:➠ 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: I designed and implemented ETL processes and data pipelines to deliver a clean version of the raw data to our biggest and most important clients. I performed QA tests and SQL queries to ensure the high-quality of our deliverables.➠ 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: I initiated and led the automation project which resulted in automating a big part of the Data Warehouse Solution and saving time and employee… Show more 𝑷𝒓𝒐𝒋𝒆𝒄𝒕𝒔:➠ 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: I designed and implemented ETL processes and data pipelines to deliver a clean version of the raw data to our biggest and most important clients. I performed QA tests and SQL queries to ensure the high-quality of our deliverables.➠ 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: I initiated and led the automation project which resulted in automating a big part of the Data Warehouse Solution and saving time and employee workload. My project provided the foundation of a Fully-Automated Data Warehouse Solution.➠ 𝐕𝐆 𝐏𝐚𝐲 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: I developed a list of metrics and KPIs to track the success of the company's newly-launched payment solution. I had multiple meetings with stakeholders of all departments, to discuss and formulate the metrics needed. Show less

𝙋𝙧𝙤𝙟𝙚𝙘𝙩:➠ I led and managed a team of 5 through a business/research project called "House by House: Deep Renovation Predictor for Neighborhoods". In collaboration with 4 companies involved in the built-environment field, we created a map visualization of the Limburg area based on renovation readiness levels. These levels are determined by the neighborhoods' demographics and building data collected. The companies can use this map to adjust their contract prices and optimize their… Show more 𝙋𝙧𝙤𝙟𝙚𝙘𝙩:➠ I led and managed a team of 5 through a business/research project called "House by House: Deep Renovation Predictor for Neighborhoods". In collaboration with 4 companies involved in the built-environment field, we created a map visualization of the Limburg area based on renovation readiness levels. These levels are determined by the neighborhoods' demographics and building data collected. The companies can use this map to adjust their contract prices and optimize their routes, thus gain competitive advantage. Show less

𝑪𝒐𝒖𝒓𝒔𝒆: Artificial Intelligence𝑻𝒂𝒔𝒌𝒔:➠ 𝐓𝐡𝐞𝐨𝐫𝐲: Search Algorithms (𝘋𝘍𝘚, 𝘉𝘍𝘚, 𝘜𝘯𝘪𝘧𝘰𝘳𝘮 𝘊𝘰𝘴𝘵 𝘚𝘦𝘢𝘳𝘤𝘩, 𝘐𝘵𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘋𝘦𝘦𝘱𝘦𝘯𝘪𝘯𝘨, 𝘎𝘦𝘯𝘦𝘵𝘪𝘤 𝘈𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮𝘴, 𝘏𝘪𝘭𝘭-𝘊𝘭𝘪𝘮𝘣𝘪𝘯𝘨, 𝘔𝘪𝘯𝘪𝘮𝘢𝘹 𝘚𝘦𝘢𝘳𝘤𝘩, 𝘈𝘭𝘱𝘩𝘢-𝘉𝘦𝘵𝘢 𝘗𝘳𝘶𝘯𝘪𝘯𝘨, 𝘦𝘵𝘤.), Neural Networks, Perceptron, Computer Vision.➠ 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬: Present, Discuss and Solve exercises with students in a project-based learning approach.➠… Show more 𝑪𝒐𝒖𝒓𝒔𝒆: Artificial Intelligence𝑻𝒂𝒔𝒌𝒔:➠ 𝐓𝐡𝐞𝐨𝐫𝐲: Search Algorithms (𝘋𝘍𝘚, 𝘉𝘍𝘚, 𝘜𝘯𝘪𝘧𝘰𝘳𝘮 𝘊𝘰𝘴𝘵 𝘚𝘦𝘢𝘳𝘤𝘩, 𝘐𝘵𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘋𝘦𝘦𝘱𝘦𝘯𝘪𝘯𝘨, 𝘎𝘦𝘯𝘦𝘵𝘪𝘤 𝘈𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮𝘴, 𝘏𝘪𝘭𝘭-𝘊𝘭𝘪𝘮𝘣𝘪𝘯𝘨, 𝘔𝘪𝘯𝘪𝘮𝘢𝘹 𝘚𝘦𝘢𝘳𝘤𝘩, 𝘈𝘭𝘱𝘩𝘢-𝘉𝘦𝘵𝘢 𝘗𝘳𝘶𝘯𝘪𝘯𝘨, 𝘦𝘵𝘤.), Neural Networks, Perceptron, Computer Vision.➠ 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥𝐬: Present, Discuss and Solve exercises with students in a project-based learning approach.➠ 𝐆𝐫𝐚𝐝𝐢𝐧𝐠: Give Feedback and Grade student assignments. Show less

𝑻𝒂𝒔𝒌𝒔:➠ Machine Learning Library Development in Python➠ Data Analysis and Visualization➠ Time Series Disaggregation➠ Memory Optimization➠ Solar Panels Detection and Verification➠ Documentation and Report Writing