Katie Woolley Email & Phone Number
@kpmg.com
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Who is Katie Woolley? Overview
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Katie Woolley is listed as Director, Data Science and Analytics at KPMG US, based in United States. AeroLeads shows a work email signal at kpmg.com and a matched LinkedIn profile for Katie Woolley.
Katie Woolley previously worked as Director, Data Science & Analytics at Kpmg Us and Data Science Manager at Kpmg Us. Katie Woolley holds Master Of Science (M.S.), Genetics And Genomics from Duke University.
Email format at KPMG US
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About Katie Woolley
Uniquely qualified Data Science Director with 8+ years of experience in machine learning, analytics, and business intelligence tools and advanced programming abilities. Remarkable ability to problem-solve and clearly communicate data project findings to stakeholders and clients across divisions with a history of delivering actionable, impactful, and profitable results.Experienced leader with 6+ years in data team management and lead roles and exceptional communication, change management, and cross-functional team collaboration skills. Consistently commended on strategic viewpoint and taking initiative to promote process improvements, automation, and simplification. Multiple award recipient across all roles for significant company contributions.
Listed skills include Molecular Biology, Mammalian Cell Culture, Dna Sequencing, Data Analysis, and 25 others.
Katie Woolley's current company
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Katie Woolley work experience
A career timeline built from the work history available for this profile.
Director, Data Science & Analytics
Data Science Manager
• Data Science Lead and Manager of data science and engineering team to develop a 5G Smart Warehouse solution through solution design, development, deployment, and testing• Engagement manager for AI implementation project • Lead Project Manager of a VIP client demonstration of operational Smart Warehouse solution• Data Scientist Lead Developer for computer vision technologies, including OCR and AI security systems, and storage optimization solutions • Developed a full-service, user-friendly mobile tablet application in Python with analytics and machine learning capabilities. Application applies Optical Character Recognition (OCR) to documents; extracts structured, labeled text data; automatically provides the client with action items via a custom fuzzy matching algorithm; and exports actions and data to a database. All data cleaning, modeling, algorithm application, filtering, user interface development, and database writing and reading for this application were completed as part of this task.• Developed a highly customizable bin optimization using linear programming and historic data to provide the optimal warehouse setup, accounting for factors such as item expiration dates, items assembled into kits, item demand, and optimized shelf space.
Lead Data Scientist
• Responsible for the development and deployment of analytics solutions to aerospace problems for internal and external customers• Lead the product development of custom Python-based dashboards using Dash, a Python library, to offer low-cost, low-maintenance and insightful dashboards with live end-to-end data science solutions, including data cleaning, modeling, and interactive visualizations• Provide data quality identification solutions using machine learning techniques, including linear regression and decision trees, to identify missing or erroneous records in diverse aerospace data and provided easy-to-interpret interactive visualizations for interrogation of model output by users• Propose and lead the development of numerous automation efforts across the company to reduce manual efforts using Python, including daily review of PDF files, comparison and analysis of text data, and data wrangling requiring manual effort
Data Scientist
• Independently develop full-cycle data science projects from project conception to presentation of findings, including project ideation, project design, data collection, data wrangling & transformation, exploratory data analysis, statistical testing, predictive model development, model testing, model implementation, and stakeholder client review• Responsible for data analyses to inform strategic and decision-making processes and communication of findings to and collaboration with stakeholders• Implement machine learning and forecasting techniques to support product and team development• Independently conceive, plan, execute, and communicate data analyses resulting in increased employee efficiency and higher profit margins• Ensure data is available and assist in data communication to stakeholders through data visualization creation using a SQL-based BI platform (Domo)• Accountabilities include data reporting systems, data analysis and testing, and product and business strategy data support• Collaborate with Product, Engineering, Marketing, and Operations teams
Operations Manager
• Management of shared data resources, including process improvement projects• Independently developed and implemented a BI platform training program for individual contributors and managers across the company• Responsible for data analyses in numerous impactful division-wide projects, resulting in increased efficiency and process simplification• Direct reporting manager of over 20 individual contributors across four different core roles in Operations, including in-house academic editors, quality control editors, specialists, and submission processors• Manager of major Operations processes including new product processing (Submission Processing) and contractor operations• Accountabilities in data systems management, personnel management, inventory and bottleneck operations management, and service delivery
Quality Control Specialist
• Developed and maintained data dashboards for operations teams using BI software in addition to core role responsibilities• Developed and managed the successful launch of the Journal Recommendation service as a team-of-1, including service operations• Responsible for reading and editing academic articles in across numerous areas of study, including clinical and medical biology, engineering, the life sciences, and math and computer science• Perform quality control to ensure that academic manuscripts are suitable for publication• Responsible for extensive operations tasks, including coordination of and communication with contract editors• Gained extensive experience in interdepartmental collaboration and functional team management and oversight• Developed training for and onboarded new team members for the Journal Recommendation product• Additional responsibilities in contractor operations, interdepartment collaboration, and functional team management and oversight
Graduate Teaching Assistant
TA for Human Evolutionary Genomics, an advanced course offered to Biology and Evolutionary Anthropology majors at Duke.• Met with students individually to teach them how to develop research project proposals in compliance with course requirements• Graded written assignments and provided feedback as necessary
Graduate Research Assistant
• Gained experience with independent and collaborative research projects from conception to completion, one such project resulting in a peer reviewed first-author publication• Authored and was awarded a competitive grant• Mentored two undergraduates in the development of research projects and technical abilities• Expanded genetics and molecular biology knowledge base via coursework and reviewing primary literature• Reviewed publications for major journals including PLoS Genetics, PLoS ONE, G3, and BMC Evolutionary Biology• Collaborated with principal investigators from other universities on the development of projects and methods• Developed strong computer skills, including database use and application of bioinformatics online tools and basic UNIX knowledge• Gained experience with Illumina library prep, including DNA and bisulfite sequencing• Maintained and inbred >25 lines of Drosophila for 18 months
Undergraduate Research Assistant
• Completed an independent research project resulting in an undergraduate thesis• Authored and was awarded grants to support thesis work, including summer funding• Gained technical skills including basic molecular biology tools such as PCR, real-time PCR, DNA and RNA extractions, primer design, cell transformation and sanger sequencing• Extensive experience maintaining mammalian and cancer cell lines • Introductory experience with bioinformatics tools required for transcript and sequence analysis
Tutor
• Tutored UCONN athletes in Genetics and Principles of Biology I and II
Guest Services Specialist
• Volunteer in high school and later paid employee in college• Educated large crowds about the aquarium's exhibits and environment conservation• Provided small group tours for guests in winter months
Katie Woolley education
Master Of Science (M.S.), Genetics And Genomics
Data Science Career Track, Data Science
Bachelor Of Science (B.S.), Molecular And Cell Biology
Frequently asked questions about Katie Woolley
Quick answers generated from the profile data available on this page.
What company does Katie Woolley work for?
Katie Woolley works for KPMG US.
What is Katie Woolley's role at KPMG US?
Katie Woolley is listed as Director, Data Science and Analytics at KPMG US.
What is Katie Woolley's email address?
AeroLeads has found 1 work email signal at @kpmg.com for Katie Woolley at KPMG US.
Where is Katie Woolley based?
Katie Woolley is based in United States while working with KPMG US.
What companies has Katie Woolley worked for?
Katie Woolley has worked for Kpmg Us, Tsunami Tsolutions Llc., Research Square, Duke University, and University Of Connecticut.
How can I contact Katie Woolley?
You can use AeroLeads to view verified contact signals for Katie Woolley at KPMG US, including work email, phone, and LinkedIn data when available.
What schools did Katie Woolley attend?
Katie Woolley holds Master Of Science (M.S.), Genetics And Genomics from Duke University.
What skills is Katie Woolley known for?
Katie Woolley is listed with skills including Molecular Biology, Mammalian Cell Culture, Dna Sequencing, Data Analysis, Genetics, Microsoft Office, Real Time Pcr, and Grant Writing.
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