Nic Crane
Senior Software Engineer at Recast- Claim this Profile
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Topline Score
Bio
Sarah Azadian
Nic is hard working, dedicated to getting work done to a high standard, brilliant at helping clients articulate their needs and her passion for her field is very evident. She is also very keen to share her knowledge with others (in-house or presenting at conferences). She is a thoughtful communicator and takes her audience into consideration. She is direct in a way that builds trust and respect for her experience and knowledge. She also appropriately asks questions to understand the whys and caveats around priorities, decisions and approaches. She challenges when necessary and does so effectively. It would be great to work with Nic again in the future. Thanks again for your hard work Nic!
Sarah Azadian
Nic is hard working, dedicated to getting work done to a high standard, brilliant at helping clients articulate their needs and her passion for her field is very evident. She is also very keen to share her knowledge with others (in-house or presenting at conferences). She is a thoughtful communicator and takes her audience into consideration. She is direct in a way that builds trust and respect for her experience and knowledge. She also appropriately asks questions to understand the whys and caveats around priorities, decisions and approaches. She challenges when necessary and does so effectively. It would be great to work with Nic again in the future. Thanks again for your hard work Nic!
Sarah Azadian
Nic is hard working, dedicated to getting work done to a high standard, brilliant at helping clients articulate their needs and her passion for her field is very evident. She is also very keen to share her knowledge with others (in-house or presenting at conferences). She is a thoughtful communicator and takes her audience into consideration. She is direct in a way that builds trust and respect for her experience and knowledge. She also appropriately asks questions to understand the whys and caveats around priorities, decisions and approaches. She challenges when necessary and does so effectively. It would be great to work with Nic again in the future. Thanks again for your hard work Nic!
Sarah Azadian
Nic is hard working, dedicated to getting work done to a high standard, brilliant at helping clients articulate their needs and her passion for her field is very evident. She is also very keen to share her knowledge with others (in-house or presenting at conferences). She is a thoughtful communicator and takes her audience into consideration. She is direct in a way that builds trust and respect for her experience and knowledge. She also appropriately asks questions to understand the whys and caveats around priorities, decisions and approaches. She challenges when necessary and does so effectively. It would be great to work with Nic again in the future. Thanks again for your hard work Nic!
Credentials
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Programming in C++: A Hands-on Introduction Specialization
CourseraFeb, 2023- Nov, 2024 -
Natural Language Processing with Classification and Vector Spaces
CourseraDec, 2020- Nov, 2024 -
Natural Language Processing with Probabilistic Models
CourseraDec, 2020- Nov, 2024 -
Convolutional Neural Networks
CourseraNov, 2020- Nov, 2024 -
Sequence Models
CourseraOct, 2020- Nov, 2024 -
Structuring Machine Learning Projects
CourseraSep, 2020- Nov, 2024 -
Tweet Emotion Recognition with TensorFlow
CourseraSep, 2020- Nov, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
CourseraAug, 2020- Nov, 2024 -
Neural Networks and Deep Learning
CourseraAug, 2020- Nov, 2024 -
Getting and Cleaning Data
Coursera Course CertificatesFeb, 2016- Nov, 2024 -
Practical Machine Learning
Coursera Course CertificatesDec, 2015- Nov, 2024 -
Statistical Inference
Coursera Course CertificatesDec, 2015- Nov, 2024 -
BCS Foundation Certificate in Agile
BCS, The Chartered Institute for ITNov, 2015- Nov, 2024 -
Exploratory Data Analysis
Coursera Course CertificatesNov, 2015- Nov, 2024 -
R Programming
Coursera Course CertificatesNov, 2015- Nov, 2024 -
Reproducible Research
Coursera Verified CertificatesNov, 2015- Nov, 2024 -
The Data Scientist’s Toolbox
Coursera Verified CertificatesNov, 2015- Nov, 2024 -
Kaggle R Tutorial on Machine Learning
DataCamp
Experience
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Recast
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United States
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Software Development
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1 - 100 Employee
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Senior Software Engineer
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Oct 2023 - Present
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The Apache Software Foundation
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United States
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Software Development
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200 - 300 Employee
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Apache Arrow PMC member
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Oct 2022 - Present
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Voltron Data
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United States
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Software Development
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1 - 100 Employee
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Senior Software Engineer
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Apr 2022 - Oct 2023
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Open Source Developer
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Apr 2021 - Mar 2022
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Unai
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United Kingdom
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Software Development
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1 - 100 Employee
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Senior Consultant
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Jul 2018 - Mar 2021
Created a complex multi-step NLP pipeline in Python for conducting aspect-based sentiment analysis on TripAdvisor reviews. Utilised techniques such as Conditional Random Fields, fuzzy matching, and a pre-trained Word2vec model, improving initial model performance on a small dataset from 40% accuracy to around 90%. Successfully deployed analytics pipeline on AWS. Developed a large scale Shiny app containing advanced visualisations. Responsible for writing PostgreSQL functions to supply data for the application. Co-designed a scaled-up version of the app which is currently being used within the NHS. Delivered a presentation about this work at RStudio Conference in January 2019. Used acquired knowledge to shape internal best practice guidance on R and Shiny in production environments. Show less
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Mango Solutions
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United Kingdom
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IT Services and IT Consulting
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1 - 100 Employee
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Data Scientist
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May 2016 - Jul 2018
Consulted on a number of projects involving developing R packages and Shiny applications, developing in-depth knowledge in these areas, and gaining experience of using a wide selection of R packages. Successfully co-authored “Developing R Packages” course, which is now live on Data Camp, and has very positive course ratings. Created and delivered workshops and training courses on a range of topics, ranging from introductory to advanced R and machine learning. Delivered private training courses and conference workshops internationally, consistently receiving excellent feedback from attendees. Developed an automated static code analysis package and application in R, which has been used to guide part of a large-scale redevelopment drive at the Office for National Statistics. Independently carried out an in-depth needs analysis and scoping exercise, involving use of this software, for a large organisation in the financial services industry which led to agreement of a much larger subsequent SAS to R and Spark conversion project. Developed a Shiny application for a client in the pharmaceutical industry to combine data from multiple sources, automate literature searches, and perform statistical analyses, resulting in enthusiastic adoption by the end users and a later project to further extend its functionality. Show less
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IBM
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Smarter Workforce Specialist
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Jul 2015 - May 2016
Utilised analytical expertise to modify and create dummy datasets, resulting in sellers delivering compelling product demonstrations. Utilised analytical expertise to modify and create dummy datasets, resulting in sellers delivering compelling product demonstrations.
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Lancaster University
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United Kingdom
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Higher Education
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700 & Above Employee
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Graduate Teaching Assistant
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Oct 2011 - Jul 2014
In this role, I assisted with weekly workshops for MSc Psychology students around the topic of statistics and research methods. Empowered students to develop their understanding of the topics covered in class, being commended by my students as being “approachable” and “friendly”. This role also involved delivering revision sessions exploring materials from past papers in great detail. During the time I was assisting teaching the course, there was a 100% pass rate. In this role, I assisted with weekly workshops for MSc Psychology students around the topic of statistics and research methods. Empowered students to develop their understanding of the topics covered in class, being commended by my students as being “approachable” and “friendly”. This role also involved delivering revision sessions exploring materials from past papers in great detail. During the time I was assisting teaching the course, there was a 100% pass rate.
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Education
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Lancaster University
Doctor of Philosophy (Ph.D.), Applied Social Statistics -
Lancaster University
Master's Degree, Applied Social Statistics -
Lancaster University
Master of Science (MSc), Psychological Research Methods -
Lancaster University
Bachelor of Science (BSc), Psychology