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David Machado
Data Science & Analytics - Business & Finance - CPA
Professional Background
David Machado is a skilled professional who operates at the intersection of business operations, finance, and data. With a wealth of experience in financial analysis, accounting, and business operations, David brings a comprehensive understanding of how financial data influences strategic business decisions. His journey has been marked by significant roles at prestigious organizations where he applied his expertise to drive operational excellence and deliver data-driven insights.
Starting his career as an Audit Senior at Deloitte, David developed a strong foundation in financial scrutiny and compliance, ensuring that organizations navigated their financial responsibilities with integrity and precision. He later contributed to the Justice for Fraud Victims Project, where he participated as a Forensic Examination Team Member, exemplifying his commitment to preserving ethical standards in financial practices. After this impactful role, David joined Itron as a Senior Accountant for External Reporting, further expanding his skills in financial reporting while maintaining a focus on data integrity and accuracy.
In a quest for continuous improvement, David transitioned to the position of Senior Regulatory Analyst at Avista. In this role, he adeptly analyzed and navigated regulatory frameworks, ensuring the company met compliance standards while optimizing financial performance. David’s analytical abilities did not go unnoticed, leading him to take on his current role as a Business Analytics Engineer at Automattic. Here, David merges his accounting background with technical prowess, utilizing machine learning and data analysis to derive actionable insights that enhance business performance.
Education and Achievements
David’s educational journey underscores his dedication to excellence. He earned his Bachelor’s Degree in Accounting and Finance from Gonzaga University, graduating with an impressive GPA of 3.93. This academic foundation not only equipped him with essential knowledge in accounting principles but also instilled a rigorous analytical mindset that he applies in his professional endeavors.
Furthering his passion for data and analytics, David pursued a Master’s Degree in Data Science with a Computer Science Concentration from Lewis University, achieving a perfect GPA of 4.0. This advanced degree allowed him to enhance his technical skills in applied data science, positioning himself as an expert in machine learning, data mining, and statistical analysis. His dedication to education and continuous learning demonstrates a commitment to remaining at the forefront of industry developments and emerging technologies.
Notable Skills and Tools
David is proficient in various technical and analytical tools that complement his financial background. His skill set includes machine learning, data mining, financial analysis, business analysis, data analysis, data visualization, financial modeling, statistical analysis, and forecasting. This diverse expertise enables him to connect vast arrays of raw data to significant financial and operational insights.
He employs powerful tools such as Python, including libraries like NumPy, Pandas, scikit-learn, and Keras, which are essential for data manipulation and implementing machine learning algorithms. His proficient use of Excel and SQL further enhances his capabilities to analyze complex datasets and derive valuable insights. Additionally, David leverages Tableau for data visualization, allowing him to present his analyses in an intuitive and compelling manner that facilitates strategic decision-making.
Achievements
Throughout his career, David has demonstrated an unparalleled ability to synthesize complex information into clear, actionable insights that guide executive decision-making. His contributions at Automattic have driven significant improvements in operational efficiency, showcasing his ability to bridge the gap between data science and business operations.
David’s background in finance, coupled with his technical skills in data science, uniquely positions him to interpret data trends and forecast future outcomes—an asset for any organization looking to stay competitive in today’s data-driven landscape. His dedication to using data as a powerful tool for business transformation is evidenced in his daily operations and interactions with cross-functional teams.
tags':['business operations','finance','data analysis','financial analysis','data science','accounting','financial modeling','business analytics','data visualization','machine learning','regulatory analysis','operational excellence','data mining','forecasting','Gonzaga University','Lewis University'],
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