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Tom Nolan is listed as Lead Data Scientist at Atlassian, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at humu.com and a matched LinkedIn profile for Tom Nolan.
Tom Nolan previously worked as Lead People Data Scientist at Atlassian and Staff Data Scientist at Humu. Tom Nolan holds Master Of Science (Ms), Business Analytics from Drexel University.
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AeroLeads found 1 current-domain work email signal for Tom Nolan. Compare company email patterns before reaching out.
I lead projects in consumer goods, IoT, and health-care to create data science-focused products that accelerate growth for fast-moving companies.
Listed skills include R, Sas, Microsoft Excel, Analysis, and 13 others.
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A career timeline built from the work history available for this profile.
Sydney, NSW, AU
I develop data products to solve people challenges. I lead initiatives that:Automatically categorize employee survey responses which significantly scaled the number of reports 10x, enhanced accuracy and eliminated a costly software contract. Implemented a comprehensive organizational health metric, integrating multiple univariate metrics into a singular.
Mountain View, California, US
I led and implemented multiple projects to personalize our user's experiences along with various statistical analyses. These have included:Improving organizational leader experience to solve that organizational leaders desired higher level content, but we didn't know who they were within our populations. After collecting and processing the relevant data.
Basel, Basel-Town, CH
Hire, structure, and lead a team of 6 data scientists and data engineers to automate the medical device's procedures and diagnostic technique. I am responsible for the AI/machine learning models and their continuous training infrastructure (MLOps).I constructed an NLP pipeline to extract clinical diagnoses after redacting PHI/PII from hospital PDFs.
Houston, Texas, US
At MDS, I led data science projects to create new data-focused products across multiple industries. This work has produced: 2 CPG focused data products that enable brands to understand promotional behavior at individual convenience stores and inform them of demographic differences between their consumers.An NLP product to understand medical literature.
Indianapolis, Indiana, US
Led consolidation of manual adjudication codes. Interviewed all stakeholders to determine their needs and determined path forward. I highlighted most valuable automation targets.
Philadelphia, PA, US
Fraud department sought improvement in dollar return on Modifier 25 investigations; they wanted specific claims to scrutinize. I constructed and productionized a PySpark random forest model that output likelihood of fraud, waste or abuse for most recent 3 months of claims; investigators in midst of pursuing first batch of claims when I relocated.With a.
Philadelphia, PA, US
Taught intro to business statistics to undergraduate students. Topics covered include: distributions, hypothesis testing, and linear regression.
Philadelphia, PA, US
Helped construct book on text mining and content analysis (a more structured approach to text mining). Examined NASA management response to the Apollo I, Challenger, and Columbia disasters.Logistic regression model for NFL player arrests using player tweets.
Quick answers generated from the profile data available on this page.
Tom Nolan works for Atlassian.
Tom Nolan is listed as Lead Data Scientist at Atlassian.
AeroLeads has found 1 work email signal at @humu.com for Tom Nolan at Atlassian.
Tom Nolan is based in San Francisco Bay Area, United States, United States while working with Atlassian.
Tom Nolan has worked for Atlassian, Humu, Artidis, Mercury Data Science, and Anthem, Inc..
You can use AeroLeads to view verified contact signals for Tom Nolan at Atlassian, including work email, phone, and LinkedIn data when available.
Tom Nolan holds Master Of Science (Ms), Business Analytics from Drexel University.
Tom Nolan is listed with skills including R, Sas, Microsoft Excel, Analysis, Data Analysis, Data Mining, Time Management, and Text Mining.
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