Bill Dusch, Phd work email
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As a certified expert data scientist, I bring my expertise in natural language processing, deep learning, generative AI, causal inference, statistics, and machine learning to the table, helping businesses unlock the full potential of their data. My strong foundation in data engineering and backend engineering, combined with my unique perspective, allows me to manage the entire AI lifecycle efficiently. My solutions, tailored to meet the needs of the business, enable data-driven decision-making and sustained success.As the former Chief AI Officer of Estimand, I pioneered the creation of a Generative AI Assistant and a food ingredient exchange platform, along with a causal AI-powered dashboard for market trend forecasting. Before this, my role as a data scientist in the enterprise sector was centered on enhancing employee experiences. I employed my skills in machine learning, statistical modeling, and natural language processing to deliver actionable insights for business leadership. My dual background in industry and academia equips me with a unique, well-rounded perspective for tackling challenges across various domains.Programming Languages: Python (NumPy, SciPy, Pandas, Scikit-learn, DoWhy, Pytorch, Keras, Matplotlib, Seaborn, BeautifulSoup), R, MATLAB, Excel, SQL, Scala, C, Fortran, JavaScript, TypeScriptAlgorithms: Regression, Classification, Unsupervised Learning (PCA, Clustering), Natural Language Processing (Spacy, LangChain), Time Series Analysis, Deep Learning (CNNs, RNNs), Generative AI (GPT 3&4), Statistical Inference, Process Mining, Causal Discovery, Causal InferenceMLOps & DataOps: Big Data Processing (Spark, Hadoop Ecosystem, Kafka), Cloud Data Services (Watson Studio, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, IBM SQL Query, BigQuery, BigQuery ML), MLOps (Watson Machine Learning, Azure Machine Learning, Azure AI Studio), LLMOps (LangSmith), Databases (Azure SQL, PostgreSQL, MongoDB, Elasticsearch, Azure AI Search, Neo4j, Redis)Cloud & Engineering: Cloud Platforms (Microsoft Azure, Google Cloud Platform, IBM Cloud), Containerization (Docker, Kubernetes, Azure Container Apps, Openshift), CI/CD (GitHub Actions, Azure DevOps), Backend (GraphQL, FastAPI, Django, Celery)Front-End: HTML, CSS, Angular, PyQtThe postings on this site are my own and don't necessarily represent my employer's positions, strategies or opinions.
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Machine Learning EngineerGivzeyRaleigh, Nc, Us -
Chief Technology OfficerProsewrite Aug 2024 - Present -
Senior Ai Engineer And Ai ArchitectCognizant Dec 2023 - PresentTeaneck, New Jersey, Us• Facilitated a partnership between data science and user research, extracting insights about demographics and behaviors of customers and sellers of the international Walmart e-commerce markets. Helped to bring together usability metric strategy across markets.• Engineered Generative AI presales demos to showcase at workshops and conferences, bringing about new consulting project leads.• Architected Generative AI solutions for Cognizant clients, leading to successful project proposals and contributing to increased revenue and client satisfaction. -
Founder And Chief Ai OfficerThe Billistician Apr 2023 - PresentUpwork URL: https://tinyurl.com/billisticianupworkThe Billistician is a single-member consulting firm where I offer data science and decision intelligence consulting services, including project, advisory, and decision services based off my industry experience in data science. -
Co-Founder And Chief Ai OfficerEstimand May 2023 - Dec 2023• Architected and led the development of an MVP AI Assistant which leveraged generative AI, causal AI and grounded data sources to create a trustworthy assistant that understands taste and smell, as well as a food and beverage ingredients exchange, including developing the SaaS aspects of the payment and shipment systems. Led and managed a cross-functional team of data scientists, web developers, and full-stack engineers.• Created a Causal AI demo for a global risk platform, crafting a production-grade smart interactive dashboard of counterfactual forecasts of the housing market leveraging graphical causal models. Led and managed a team of data engineers to develop a data pipeline of millions of news events and global metrics in a data lake. -
Advisory Data ScientistIbm Jul 2021 - Apr 2023Armonk, New York, Ny, UsUser Research, Data Science, & Analytics - CIO Design, Strategy, & ITSM, F&O• Created an Outcomes dashboard for the CIO, bringing together business signals and technical outcomes so that the CIO leadership and strategy team can make informed decisions for key objectives in the organization. Collaborated in a cross-functional team leading the technical effort. The dashboard leverages the FastAPI framework with a React + Carbon front-end and features SSO authentication.• Introduced Decision Intelligence to the CIO, bringing in a causal decision framework to link decision levers to business outcomes. Leveraged causal inference methodology to create what-if analyses for actionable insights on knowledge worker productivity sentiment.• Key member of the CIO AI Guild, helping to formulate its mission to bring scalable ethical AI to the IBM enterprise and helping to coordinate cross-organizational collaboration. -
Data ScientistIbm Jun 2020 - Jul 2021Armonk, New York, Ny, UsUser Research, Data Science, & Analytics - CIO Design, F&O• Performed in-depth survey analytics in work engagement and internal tooling user experience surveys, including key-point analysis, topic modeling and keyword extraction to identify themes in unstructured survey comments, semantic similarity to choose representative comments for classes of comments, and statistical modeling (dimensional reduction and classification for inference) and clustering (for user segmentation) of quantitative questions. Presented these novel results indirectly and directly to executive stakeholders, including the CIO and Chief Communication Officer.• Automated the survey analysis process in a project named "Agogos". Constructed a survey SQL database as a first step in the creation of a user experience data lake. Architected data models, created data pipelines, survey codebooks, unit tests and containerizing services to inject data from various sources such as survey APIs and manual sources into a structured data warehouse which leverage to automatically clean data and create executive-facing dashboards to reduce manual labor for user research survey analysis.• Iteration Manager of the Data Science & Analytics squad. Organizing agile ceremonies, training squad members on agile tools and methodologies, directing and educating squad members on data science methods and work so that we can excel as a team.
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Data ScientistIbm Sep 2018 - Jun 2020Armonk, New York, Ny, UsCTO - IBM Services for Managed Applications, GTS• Analyzed server and SAP system factors to determine SLA attainment probabilities for contract development; created Grafana dashboard using Elasticsearch data.• Investigated hypervisors and SAP system availability; integrated data to identify server unavailability factors; calculated downtime using transformer-based embeddings.• Facilitated Managed Apps data lake creation with Spark jobs; demoed and documented data lake use cases; developed machine learning pipeline for record linkage.• Analyzed SAP IT Operations data to recommend load balancing strategies for a major client; developed a statistical model to identify underutilized/overutilized servers.• Examined VM resource utilization patterns; contributed to implementing an anomaly detection system for monitoring data.
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Research Assistant And Data ScientistPenn State University May 2012 - Aug 2018University Park, Pa, UsDissertation: "Data Science in Scanning Probe Microscopy: Advanced Analytics and Machine Learning"• Led an international collaboration programming the critical components of a data analysis package for scanning probe microscopy using Python, which will catalog, visualize, analyze and process a wide variety of large multidimensional numeric data.• Applied Deep Learning and Unsupervised Learning to extract insights from multivariate experimental scanning probe microscopy data. Examples include predicting atomic resolution and image quality from topographic imaging data, and predicting a time-series feedback signal to cancel probe vibrations using Deep Learning.• Collaborated on the design and assembly on a versatile, ultra-low temperature, high magnetic field novel scanning probe microscope system, which will use a dry helium-3 refrigerator to examine new nanostructured materials and devices. • Researched and procured equipment for and assembled a laboratory to hold a scanning tunneling microscope (STM) and redesigned the STM to cool down to ultralow temperatures using a Pulse Tube Cryocooler (PTC). -
Science-U Camp Creator/DirectorPenn State University Jun 2016 - Aug 2017University Park, Pa, Us• Created a novel, groundbreaking science camp for high school students on the autism spectrum (ASD) to encourage them to make the transition from high school to college and enroll in STEM programs.• Collaborated with Science-U and PATTAN to focus on empowering the strengths of ASD students to use their natural talents to work on scientific experiments while creating accommodations for their emotional and sensory needs.• Created curriculum consisting of assignments and experiments related to sustainable energy. Gave presentations to students and parents explaining sustainability and related scientific principles. Received 9.9/10 feedback rating from parents and students, with the parents remarking that the camp helped their children connect and express their unique STEM talents, and encouraged them to pursue STEM studies in college.• Directed the camp twice, in August 2016 and August 2017.
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Teaching AssistantPenn State University Sep 2011 - May 2017University Park, Pa, Us• Teaching Assistant for: Classical Mechanics, Electricity and Magnetism, Fluids and Thermal Physics, and Wave Motion and Quantum Physics.• Helped students who had difficulty comprehending concepts in physics and math by breaking down complex subjects into understandable components, thereby improving students’ grades and preventing others from dropping the course.• Oversaw recitations and labs, held review sessions, held extended office hours, tutored, graded homeworks, labs, and exams, and lectured in class.
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Data Science InternLive It, Inc. May 2017 - Aug 2017State College, Pa, Us• Used Natural Language Processing and Statistics to characterize and visualize the text information on subscribers' portfolios.• Created a supervised classification model to predict soft skill tags from text using document vectors. Adapted this model to create an online skill recommendation engine.• Constructed a minimum match system to match a subscriber's skills with potential postgraduate outcomes.• Collaborated with and communicated results to technical and non-technical team members. -
Research InternStony Brook University Feb 2011 - May 2011Stony Brook, Ny, UsXu Du Group• Helped fabricate graphene electronic devices using graphene created by a chemical vapor deposition process which we optimized. -
Research InternUniversity Of Wuerzburg Jun 2010 - Aug 2010Würzburg, Bavaria, DeDAAD Research Internships in Science and Engineering ProgramLukas Worschech Group• Researched stochastic resonance in resonant tunneling diodes through electronic transport measurements and simulations in MATLAB. -
Research InternBrookhaven National Laboratory Jan 2010 - May 2010Upton, Ny, UsTriveni Rao Group• Researched the quantum efficiency of lead photocathodes.
Bill Dusch, Phd Skills
Bill Dusch, Phd Education Details
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Penn State UniversityPhysics -
Stony Brook UniversityPhysics
Frequently Asked Questions about Bill Dusch, Phd
What company does Bill Dusch, Phd work for?
Bill Dusch, Phd works for Givzey
What is Bill Dusch, Phd's role at the current company?
Bill Dusch, Phd's current role is Machine Learning Engineer.
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What schools did Bill Dusch, Phd attend?
Bill Dusch, Phd attended Penn State University, Stony Brook University.
What are some of Bill Dusch, Phd's interests?
Bill Dusch, Phd has interest in Programming, Physics, Data Analytics, Big Data, Linguistics, Statistics, Scientific Communication.
What skills is Bill Dusch, Phd known for?
Bill Dusch, Phd has skills like Data Analysis, Python, Machine Learning, Deep Learning, Natural Language Processing, Science, Statistics, Data Mining, Predictive Analytics, Bayesian Statistics, Data Science, Scanning Tunneling Microscopy.
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