Kevin Maciver work email
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Kevin Maciver personal email
I'm a data analyst and data engineer, as well as an internationally experienced engineer with 5+ years' experience managing and coordinating projects in the oil and gas industry. I've spent a large part of my career in a translational role, managing expectations between technical staff and business stakeholders. That means communicating with process, mechanical, electric, naval and safety engineers to ensure that technical specifications are well defined and aligned with business needs. I was responsible for monitoring project evolution and reporting technical decisions to upper management, as well as being the focal point for technical changes, risk management and schedule analysis.In a recent project, I developed and deployed an end-to-end NLP text generation application on GCP using Kubernetes. Using recurrent neural networks, the application helps write news articles by suggesting the best next word to use in the text and continuously trains on-line as it receives new data.Programming Skills:• SQL • Python (Numpy, Pandas, Matplotlib, Scikit-learn, Keras)• R • Apache Hadoop• Hive• Pig• Spark (PySpark)• ETL• Regular Expression (Regex)• GitData Analytic Tools: • Tableau• MySQL • Apache Hadoop• WekaO/S: • Windows• Linux UbuntuSkills: • Parallel Programming and Distributed Systems• Data Cleaning• Exploratory Data Analysis• Predictive Models• Unsupervised Models• Time SeriesLooking to use data driven analysis in a fast-paced environment. You can connect with me for networking and job opportunities.
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Back End EngineerSowingo Nov 2020 - PresentToronto, Ontario, Ca -
Data Analyst ProjectsRyerson University May 2019 - Jul 2020Toronto, Ontario, Ca(Capstone project) - Bitcoin Day Trade Forecasting - A Recurrent Neural Network ApproachCanada, Ryerson University Feb 2020 - Apr 2020Applied recurrent neural network models to generate 10 minutes ahead predictions for bitcoin prices.• Performed data cleaning, preparation and feature selection R, Tableau• Applied stacked LSTMs with sliding window technique to train two different neural networks• Compared all the algorithms based on Mean-squared error, Mean Absolute error, and applying Wilcoxon rank sum test• Models results presented high-variance, although it learned to predict trends shifting to some extent.(Introduction to Big Data Analytics Class Project) - Credit Card Data Set Analysis Canada, Ryerson University May 2019 – July 2019Collaborated with a team of 3 data analysts to built a model that approves or declines the prospective banking customers based on the historical credit card data.• Tools used: R and Weka• Performed EDA and prepared the analytical data set• Compared Naïve Bayes, Logistic Regression and Random Forest in train-test split and 10 cross-fold validation, utilizing different approaches for balancing the data set• Built final model based on ROC performance• Provided client segmentation and recommendation using EM (estimation maximization) clustering -
Project ManagerPetrobras Apr 2017 - Dec 2018Rio De Janeiro, Rio De Janeiro, BrResponsible for coordinating the entire bidding process for a $4B contract regarding the lease for construction and operation of a floating production vessel (FPSO) for project Whale Park. Ultimately received two bidding proposals: project is ongoing.• Developed the technical specifications for the project by coordinating with over 10 different departments to ensure that requirements were well-defined and aligned to the needs of all stakeholders.• Communicated, 3 times per month, with technical and non-technical stakeholders about project evolution. Outcomes of these meetings included strategies to reduce the risk of receiving no bidding proposals.• Created visualizations and forecasts of the project's progression. These forecasts used historical data from previous similar projects to flag milestones at risk of slipping, adjust them accordingly, and reduce the overall risk of the bidding process. • Focal point for all communications around technical changes, risk management and schedule analysis for the entire project. Managed trade-offs between all departments’ expectations regarding technical and business considerations.• Member of the bidding committee responsible for fielding the technical and commercial inquiries of 4 world-leading international charter companies. -
Mechanic Equipment EngineerPetrobras Mar 2012 - Apr 2017Rio De Janeiro, Rio De Janeiro, BrResponsible for Oil Platform projects, including consolidating progress reports and updating construction and commissioning KPIs.• Reported project evolution forecast to senior managers.• Provided ad hoc reports on projects updates.• Acted as management representative at the overseas construction site.• Provided support for the engineering team across domains including construction, commissioning, planning, and coordinating task execution. • Addressed nonconformities identified during external audits and internal reviews of compliance of norms and regulations. -
Project TraineeOdebrecht Oil & Gas Sep 2011 - Feb 2012Projects in Drilling Units
Kevin Maciver Skills
Kevin Maciver Education Details
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The G. Raymond Chang School Of Continuing Education At Toronto Metropolitan UniversityData Science -
Universidade Federal Da BahiaMechanical Engineering
Frequently Asked Questions about Kevin Maciver
What company does Kevin Maciver work for?
Kevin Maciver works for Sowingo
What is Kevin Maciver's role at the current company?
Kevin Maciver's current role is Data | Software | innovation.
What is Kevin Maciver's email address?
Kevin Maciver's email address is ke****@****ngo.com
What schools did Kevin Maciver attend?
Kevin Maciver attended The G. Raymond Chang School Of Continuing Education At Toronto Metropolitan University, Universidade Federal Da Bahia.
What skills is Kevin Maciver known for?
Kevin Maciver has skills like Leadership, Rest Api, R, Amazon Web Services, Cloud Development, Node.js, Object Oriented Programming, Office 365, Microsoft Powerpoint, Predictive Analytics, Keras, Data Analysis.
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