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👋 Hello, I am Martin Tay, a Data Scientist with a solid background in Computer Engineering. I specialise in transforming complex datasets into clear, actionable insights. My experience spans vendor and workforce data analysis, business intelligence, and ensuring data quality, integrity, and consistency. With a toolkit that includes Python, R, SQL, Tableau, and Power BI, I'm adept at extracting information from unstructured sources using techniques like regular expressions.

At Nigeria LNG Limited, I leveraged data visualisation to optimize vendor processes, achieving a 35% reduction in report generation time and significant cost savings. My academic pursuits at Coventry University deepened my expertise in machine learning, NLP, and big data applications.

Beyond the technical, I'm an advocate for data ethics, governance, and reduction of Greenhouse Gas(GHG) emissions. I'm always on the lookout for collaborative projects that leverage data for positive impact. Explore my repositories, and let's innovate together!

🛠 Skills & Expertise:

• 🤖 Machine Learning & NLP: Natural Language Processing, Feature Engineering, and Selection

• 📊 Data Analysis & Predictive Modelling: Linear Regression, Random Forest Classifier, Time Series, Statistical Analysis using Python and SQL

• 📉 Data Visualisation: Tools such as Seaborn, Matplotlib, Tableau, and Power BI

🏆 Achievements: Streamlined vendor processes with Power BI, leading to a 20% reduction in report generation time and annual savings of over $300,000 through efficient vendor selection at Nigeria LNG Limited.

📖 Hobbies: Avid learner in computing & scientific studies, passionate about fraud detection, darkweb monitoring, sustainable farming with tech, logistics & supply chain optimization, and a regular consumer of technical blogs & documentaries on global trade dynamics.

🗣️ Languages: Fluent in English and Russian

🔗 Professional Memberships: Royal Statistical Society, British Computer Society