About
I am a highly motivated and progress-focused Data Analyst with a long-standing background in this industry. I am progressive minded and in tune with new development in my field. Throughout the course of my career, I have perfected my database management and configuration management abilities. I would greatly appreciate the opportunity to speak with you regarding my candidacy.
Thank you for your consideration.
Experience
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Project Engineer
Bombardier Aerospace · Full-time
Sep 2017 –
Sep 2018
1 yrs
Toronto, ON, Canada
- Maintained daily governance reports on the status of influx of RFC’s (Request for Change).
- Provided support and attended daily Triage meetings, updated the status of RFCs with the latest engineering dispositions and assigned codes for each type of RFC so they can be easily tracked.
- Followed up with the release of Top Modsums (Modification Summary) for RFC approvals (pushing to stage 3) while ensuring their respective Top Modsums are created in Datalink as well as getting engineering release date from the design team.
- Pursued a personal development program with the help of senior engineers to maintain a competence level consistent with individual PMDs and improvements in fields related to Project Engineering.
- Sent daily reports of approved RFC’s to the action owners (MCG -Manufacturing Control Group, Methods, Logistics, Systems, Liaison as well as suppliers).
Education
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Toronto Metropolitan University
B.Eng, Aerospace Engineering (Co-Op)
2014 – 2019
Other experience
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Data analyst
- Constructing SQL queries of moderate to high complexity to retrieve data from a relational database.
- Analyzing data from multiple source systems using MS Excel and MS Access.
- Supporting Data Audit process for Product data released in ENOVIA & SAP.
- Working with the Product Development Team to assist with Change Management activities, including preparation of written material and presentations.
- Ensuring that databases containing data from clients and suppliers are well maintained and designed to meet specifications and filters on daily basis.
- Ensuring that database projects are completed on time and within estimated costs.
- Cleaning data files of academic references automatically through a series of steps so that 1) the search terms extract the correct files 2) The files do not include duplicate references 3) The source titles are correct and consistently named across the dataset and 4) Datasets match the titles to their specific fields.