| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidate Candidate's Name
Phone:PHONE NUMBER AVAILABLE Email: EMAIL AVAILABLE Location (Pittsburgh, PA)LINKEDIN LINK AVAILABLEPROFESSIONAL SUMMARY
Data Scientist with extensive experience in designing and analyzing experiments, particularly A/B testing, to drive data-driven marketing strategies. Proven ability to derive actionable insights from complex datasets and present findings to diverse stakeholders. Passionate about leveraging data science to optimize marketing communications and enhance customer engagement.EXPERIENCE
Staff AI Engineer, Westinghouse Feb 2020 - PresentDigital Innovation Leverage my expertise in statistics and machine learning to implement digital analytics solutions that enhance efficiency, reduce operational costs, and improve marketing performance. This led to winning a $5 million contract from the Department of Energy (DOE). Additionally, I applied a preventive solution for proactive maintenance, resulting in annual savings of at least $2 million for power plants. The technologies used included Statistical Analysis, Machine Learning, Marketing Analytics, and Data Visualization. Develop and maintain intricate data models that were integrated into Westinghouse s digital solutions for asset management, work management, and business process optimization. I adhered to the organization s Data Science strategy, guidelines, and principles.
Led a diverse and cross-functional team to develop and deploy various initiatives including predictive maintenance, NLP, computer vision, data mining, digital twin, and Generative AI applications. Played a key role in launching the Hive nuclear-specific generative AI system, delivering custom solutions globally.Senior Data Scientist, Rolls-Royce Mar 2019 Feb 2020Digital Engineering Guided with data scientists, data engineers, data analysts, and stakeholders. This interaction was crucial in understanding and facilitating the necessary solutions and enhancements for various engineering experiments.
Conducted statistical hypothesis testing and power analysis to ensure robust experiment design.
Collaborated with data scientists and software engineers to integrate machine learning solutions into existing systems, enhancing overall functionality Utilize SQL and Python to query and analyze large datasets, providing insights into customer behavior and marketing performance.AI Consultant, PNC Bank Oct 2018 Mar 2019Digital Fraud Constructed and validated data pipelines using extensive datasets and utilized the PNC Big Data Platform (BDP) to analyze and pinpoint fraudulent patterns. This led to the development of a fraud monitoring strategy and the creation of self-learning models using AI/ML technologies.
Offered consultation services and performed analysis on fraud and risk datasets from PNC s digital payments systems, including CF, Zelle, and ACH. I was responsible for the development and maintenance of fraud strategies, and the deployment of fraud detection tools through the Enterprise Fraud Platform (EFP). These efforts resulted in an annual savings of $1.5 million by preventing and minimizing fraud losses.
Present complex data insights to stakeholders, enhancing decision-making processes and strategic planning..Data Analytic Lead, Bayer Mar 2018 Sep 2018Digital Transformation Led the design and analysis of A/B tests to optimize marketing strategies, resulting in a 30% increase in customer conversion rates. Collaborate with cross-functional teams, including creatives and developers, to develop and implement data-driven marketing solutions.
Leveraged predictive analytics on human capital data to pinpoint risk factors and characteristics contributing to employee attrition. Developed a robust model to predict employee turnover using an ensemble learning approach, incorporating methods such as Logistic Regression, Support Vector Machines (SVM), Neural Networks, Classification and Regression Trees (CART), and Random Forests.EDUCATIONMaster of Science, Biomedical Informatics Apr 2006University of Pittsburgh
SKILLS- Experimentation & A/B Testing- Statistical Hypothesis Testing- SQL & Python- Data Visualization & Presentation- Digital Analytics- Predictive Analytics & Machine Learning- Time Management & Project Coordination- Team CollaborationCERTIFICATIONS & PUBLICATIONS(Selected)Google Certified: Professional Machine Learning EngineerGoogle Cloud Data AnalyticsMicrosoft Certified: Azure Data Scientist Associate
Microsoft Certified: Azure AI Engineer Associate
Full-Stack Deep Learning with Python
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure DevOps Engineer Expert
Machine Learning and Economic Models to Enable Risk-Informed Condition-Based Maintenance of a Nuclear Plant Asset (https://inldigitallibrary.inl.gov/sites/sti/sti/Sort_34202.pdf) |
