Detail-oriented Mechanical Engineering graduate with a burgeoning passion for data analysis and a solid foundation in statistics and programming. Equipped with 10 months of hands-on experience in the field of data scienc…
Detail-oriented Mechanical Engineering graduate with a burgeoning passion for data analysis and a solid foundation in statistics and programming. Equipped with 10 months of hands-on experience in the field of data science, adept at leveraging Python, PowerBi, and SQL to extract meaningful insights from complex datasets. Strong problem-solving skills honed through engineering coursework and practical experience, coupled with a proactive approach to learning. Eager to apply technical expertise and analytical prowess to excel in the role of a Data Analyst, contributing effectively to data-driven decision-making processes and organizational success.
As a Trainee Decision Scientist, responsibilities include analyzing data using statistical methods, developing predictive models, and creating data visualizations. Additionally, collaborating with senior team members, assisting in client presentations, and refining analytical techniques are key aspects of the role.
Completed training in Python, SQL, Excel, statistics, and Data Engineering.
Passed an internal assessment.
Gained practical experience through mock projects.
Underwent two months of account-specific training covering PowerBI, HTML, CSS, React, Azure, C#, advanced Excel, and Azure.
Worked on a project aimed at tracking personnel metrics for client Chevron.
Spearheaded the creation of an intuitive People dashboard.
Consolidated data from various sources such as recruitment, turnover, and engagement.
Provided real-time insights into workforce trends.
Enabled informed decision-making and proactive talent management strategies.
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