Danish Raza Email & Phone Number | As a Data Analyst at Chandler Macleod, I use data science and analytical skills to provide value-added services to Santos (On-site). I build and design models to collect, organise, and interpret quantifiable data from multiple sources and apply statistical methodologies to develop data collection plans. I also collect and analyse timestamp data to extract insights and create models to forecast trends. I communicate my findings and decision-making strategies to various stakeholders using clear and concise language and data visualisation techniques. I have a Master of Data Science from Macquarie University, where I gained a high level of proficiency in various statistical and machine learning concepts. I have expertise in data analytics practices, data engineering principles, and deep learning techniques. I have industrial experience in implementing supervised and unsupervised learning with different machine learning models, such as Tesseract OCR, OpenCV, LayoutLM, and BERT. I have also utilised machine learning and deep learning for image preprocessing for text retrieval. I am proficient in Python, SQL, Tibco Spotfire, Power BI, Tableau, and AWS.

Danish Raza

As a Data Analyst at Chandler Macleod, I use data science and analytical skills to provide value-add...
Adelaide, Adelaide, Australia

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Danish Raza’s Email danish.raza@tcs.com

Danish Raza’s Phone Numbers

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Danish Raza’s Location Adelaide, Adelaide, Australia

Danish Raza’s Current Industry Santos Chandler Macleod

Danish Raza’s Prior Industry Tata Consultancy Services | Upbrains Ai | Appsriv Technologies

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Danish Raza is a As a Data Analyst at Chandler Macleod, I use data science and analytical skills to provide value-added services to Santos (On-site). I build and design models to collect, organise, and interpret quantifiable data from multiple sources and apply statistical methodologies to develop data collection plans. I also collect and analyse timestamp data to extract insights and create models to forecast trends. I communicate my findings and decision-making strategies to various stakeholders using clear and concise language and data visualisation techniques. I have a Master of Data Science from Macquarie University, where I gained a high level of proficiency in various statistical and machine learning concepts. I have expertise in data analytics practices, data engineering principles, and deep learning techniques. I have industrial experience in implementing supervised and unsupervised learning with different machine learning models, such as Tesseract OCR, OpenCV, LayoutLM, and BERT. I have also utilised machine learning and deep learning for image preprocessing for text retrieval. I am proficient in Python, SQL, Tibco Spotfire, Power BI, Tableau, and AWS.