Data Analyst
KPMG Data Analytics
Total des années d'expérience :3 years, 2 Mois
Assisting in the collection and processing of data from different sources.
Conducting data analysis and interpretation to identify trends, patterns, and
insights.
Participating in the development and maintenance of data analytics models and
tools.
Collaborating with teams to produce data-driven reports and presentations for
clients.
Learning and utilizing various data analytics software and tools, such as SQL,
Python, R, and Tableau.
Working on data pre processing, cleaning, and transformation tasks.
Assisting in data analysis, visualization, and interpretation using popular data
analytics tools and programming languages like Python, R, or SQL.
Collaborating with teams on various projects to generate actionable insights
and recommendations based on data findings.
Learning and applying statistical techniques and machine learning algorithms to
analyze and predict trends from datasets.
Building and implementing Data Science and ML solutions to provide actionable
intelligence to support business decision-making.
Representing Data and Engineering features using Python, R.
Managing Data objects in Azure Machine learning Workspace.
Create and manage data sets.
Feature engineering
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