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.
San'S America
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Data AnalystSan'S AmericaEast Brunswick, Nj, Us
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Data AnalystTrustelements Feb 2023 - May 2024United StatesImplemented quantitative risk assessment methodologies, following the OpenFAIR framework, to evaluate and prioritize riskscomprehensively.➢ Conducted statistical analyses to identify vulnerabilities within customer environments, assessing threat capability and controlstrength.➢ Utilized Veris (VCDB) database as a foundational resource, mapping data to Tactics, Techniques, and Procedures (TTPs) tomeasure threat capability accurately.➢ Evaluated control efficiency using NIST 800-63 controls, focusing on common weaknesses and enumerations prevalent incustomer environments.➢ Leveraged Python scripting to extract and analyze data from Azure environments via API integrations, facilitating ETLprocesses and conducting thorough loss evaluations.➢ Employed Monte Carlo Simulation technique to simulate various scenarios and outcomes, enhancing risk modeling accuracy.➢ Implemented continuous integration and version control practices using Git, ensuring efficient collaboration and tracking ofproject changes.➢ Collaborated with threat intelligence tools such as OpenCTI, integrating MISP feeds and AlienVault pulses to detect and analyzeintrusions, campaigns, malware, vulnerabilities, and courses of action within the OpenFAIR framework.➢ Generated comprehensive reports using Python, exporting data to Excel sheets tailored to business requirements for effectivecommunication and decision-making.➢ Managed data storage and retrieval processes by exporting analysis results to SQL databases, ensuring data integrity andaccessibility for future analysis and reporting. -
Data ScientistSaint Peter'S University Nov 2021 - Dec 2023New Jersey, United States➢ Developed a deep learning model using TensorFlow and Python to classify skin diseases based on image datasets, with a focuson differentiating between races.➢ Preprocessed and augmented image datasets to enhance model training, including techniques such as rotation, scaling, andflipping.➢ Implemented convolutional neural networks (CNNs) and transfer learning techniques, leveraging pre-trained models such asVGG16 and ResNet for feature extraction.➢ Designed and implemented custom neural network architectures, fine-tuning hyperparameters to optimize model performance.➢ Utilized TensorFlow's Keras API to streamline model development and deployment, ensuring scalability and efficiency.➢ Employed techniques such as cross-validation and stratified sampling to evaluate model performance, achieving an accuracy of80% with a specified number of epochs.➢ Conducted extensive analysis of model predictions and misclassifications to identify areas for improvement, iterating on modelarchitecture and training strategies accordingly.➢ Collaborated with multidisciplinary teams, including dermatologists and image processing experts, to ensure the clinical relevanceand accuracy of the classification results.➢ Documented project methodologies, results, and insights in technical reports and presentations, effectively communicatingfindings to stakeholders and contributing to knowledge. -
Data AnalystDigitas Health Feb 2022 - May 2022United States➢ Obtained data from Google and NetBase data sources, focusing on extracting social media data from platforms like Facebook,Twitter, Reddit, etc., to enhance client branding efforts.➢ Implemented natural language processing (NLP) techniques to extract valuable insights from unstructured social media data,enhancing the depth of analysis and understanding.➢ Conducted sentiment analysis on the extracted social media data using Python and integrated APIs to streamline the process.➢ Performed ETL (Extract, Transform, Load) processes on the gathered data, ensuring its quality and relevance.➢ Integrated the transformed data into Power BI to create insightful visual reports for the organization, facilitating data-drivendecision-making.➢ Presented the results and findings of the analysis to stakeholders, effectively communicating insights and recommendations. -
Active Directory SpecialistUnisys India May 2015 - Aug 2021IndiaManaged and maintained Active Directory services, ensuring the integrity and availability of user accounts, groups, andpermissions.➢ Implemented access controls and security policies within Active Directory to safeguard organizational resources and data.➢ Conducted regular audits and reviews of Active Directory configurations to ensure compliance with organizational policies andindustry standards.➢ Collaborated with IT teams to troubleshoot and resolve Active Directory-related issues and optimize system performance.➢ Provided user support and training on Active Directory functionality and best practices..
Albert Einstein Education Details
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Information Technology -
Computer Science
Frequently Asked Questions about Albert Einstein
What company does Albert Einstein work for?
Albert Einstein works for San's America
What is Albert Einstein's role at the current company?
Albert Einstein's current role is Data Analyst.
What schools did Albert Einstein attend?
Albert Einstein attended Saint Peter's University, University Of Wolverhampton, Jawaharlal Nehru Technological University.
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