Albert Einstein Email & Phone Number

As a passionate and experienced Data Scientist, I bring over four years of expertise in data analysis and machine learning, with a proven track record in developing end-to-end solutions. My background includes quantitative risk assessment, data extraction and analysis, and applying machine learning techniques to solve complex business problems.In my recent role at Singularity Technologies (TrustElements), I enhanced risk prioritization and threat detection by implementing quantitative risk assessment methodologies using the OpenFAIR framework. My proficiency in Python enabled efficient data extraction from Azure environments, streamlining ETL processes and improving data analysis. Additionally, my experience with threat intelligence tools such as OpenCTI and MISP has honed my skills in detecting and analyzing intrusions and vulnerabilities, ensuring robust security for customer systems.At Saint Peter’s University, I developed a deep learning model to classify skin diseases from image datasets, focusing on racial differentiation. This project, recognized at the Academic Symposium, highlighted the importance of accurate diagnosis across diverse skin tones and showcased my ability to handle complex data sets and implement advanced machine learning techniques.During my internship at Digitas Health, I enhanced client branding efforts by extracting and analyzing social media data, resulting in a 20% increase in brand awareness. By employing NLP techniques and sentiment analysis, I significantly improved the depth and accuracy of our insights, demonstrating my capability to apply machine learning to real-world business challenges effectively.My technical skill set includes proficiency in Python, SQL, and various data analysis and visualization tools such as Power BI and Tableau. I am also familiar with AWS and Azure, and have experience with statistical methods and frameworks, including regression analysis and Monte Carlo simulation.I am drawn to organizations committed to innovation and excellence. I am excited about the opportunity to leverage my unique skills and experiences to drive impactful results. My strong analytical abilities, combined with my passion for data science and machine learning, make me a valuable asset to any team.Feel free to reach out to discuss how my background, skills, and certifications can contribute to your organization. I am available for conversations and collaborations at 732-861-5408 or via email at einsteinster@gmail.com.