Hello! I'm an experienced Data Scientist and Robotic Process Automation (RPA) Specialist with a strong background in public finance and accounting. With a demonstrated history of working in the information technology and finance/accounting industries, I bring a unique blend of technical expertise and financial acumen to my projects.

I act as a subject matter expert and go-to person to provide insights and solutions on technical issues, offer recommendations for the best solutions on business issues, and excel in business modeling and problem-solving. My ability to blend analytical thinking with practical business applications makes me a valuable asset in any project, ensuring that technology and business needs are seamlessly integrated.

I'm always eager to collaborate on exciting projects and share knowledge with fellow enthusiasts. Feel free to reach out to me through GitHub or connect with me on LinkedIn.

Graduate, Data Science
Bellevue University

Graduate Certificate, Business Analytics
Seton Hall University

Bachelor's Degree, Accounting and Business/Management
George Mason University

Data Science & Machine Learning: I have a deep passion for leveraging data to drive decision-making and innovation. My experience includes developing and deploying predictive models, conducting complex data analyses, and creating automated data pipelines.

Robotic Process Automation (RPA): As an RPA specialist, I design and implement automated solutions to streamline business processes, increase efficiency, and reduce operational costs. My work in this field has transformed traditional workflows in finance and accounting, enabling more accurate and timely financial reporting.

Public Finance & Accounting: With a CPA license and extensive experience in public finance, I have a solid understanding of financial regulations, auditing, and compliance. My background allows me to bridge the gap between finance and technology, ensuring that automated solutions meet rigorous industry standards.

Data Engineering: I build and maintain robust big data ecosystems, ensuring efficient data flow and accessibility. My work involves designing and implementing data warehouses, creating ETL processes, and optimizing data storage solutions to support advanced analytics and machine learning applications.

Cloud Computing: Leveraging cloud platforms such as Google Cloud, I design scalable and resilient cloud-based architectures. My expertise includes deploying big data solutions, managing cloud infrastructure, and ensuring data security and compliance in cloud environments.

• Programming Languages: Python, R, SQL, NoSQL
• Machine Learning & AI: Predictive Modeling, Time Series Analysis, Natural Language Processing
• RPA Tools: UiPath, Blue Prism, Automation Anywhere
• Data Visualization: Tableau, Power BI, Matplotlib, Ggplot
• Data Engineering: ETL processes, Data Warehousing, Big Data Ecosystems
• Cloud Platforms: Google Cloud
• Financial Systems: ERP systems (SAP, PeopleSoft), Financial Reporting Tools
• Certifications: Certified Public Accountant (CPA)

On my GitHub, you'll find a collection of projects that showcase my skills and interests. From developing AI models to predict stock prices to creating automated workflows for financial reporting, my repositories reflect my commitment to continuous learning and innovation.

• Stock Price Prediction: Predicting US stock prices using ML models.
• Real-Time Email Processing: Using Kafka and Spark for real-time email processing.
• Machine Learning with Apache Spark: Study materials and code for Spark ML.
• Hands-On Machine Learning: Study materials and codes for various ML concepts.
• US Median Housing: Predicting US median housing prices by state using macro features such as inflation, interest, etc.
• Data Engineering on GCP: Study materials and codes for data engineering on Google Cloud.
• Pandas Cookbook: Study materials and projects using Python Pandas.
• Boston Housing: Predictive analysis for predicting Boston housing prices.
• Revenue Prediction Time series analysis for predicting revenue.
• Boston Housing Price Predicting housing price using micro features such as size, room, etc.