Priya T.
Data Analyst @Inrix
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WORK HISTORY
Data Analyst @Inrix
Birmingham, GB
Analyzed large datasets of traffic flow and travel time data to identify trends, patterns, and insights. Developed and implemented predictive models to forecast traffic congestion and optimize routing algorithms. Generated comprehensive reports and visualizations to communicate key findings to stakeholders, including engineers, product managers, and executives. Supported the development and deployment of new data processing pipelines and data models. Collaborated with cross-functional teams to identify data-driven solutions to improve traffic flow and efficiency. Successfully identified data sources and data attributes that supported business goals. Participated in requirements meetings and data mapping sessions to understand business needs. Implemented data workflows to streamline automated Power BI and Databricks input.
EDUCATION
Anna University Chennai
Bachelor of Technology - BTech, Information Technology
Aston University
Master's degree, Data Analytics
ABOUT PRIYA T.
As a highly analytical and detail-oriented individual, I am confident in my ability to leverage data to drive business decisions and improve the company\'s overall performance. With a master’s degree in data analytics and 6 years of experience in data analysis, I have developed a strong understanding of statistical analysis, data mining, and data visualization. My previous work experience has allowed me to work with large datasets and utilize tools such as SQL, Python, Power BI, and Tableau to extract valuable insights and present them in a meaningful way.In my current role as Traffic Data Editor/Analyst, I have been responsible for developing and maintaining reports and dashboards to monitor key performance indicators (KPIs) and identify trends. I have also worked on various ad hoc projects, including data cleaning, merging, and transformation, to support business decision-making.My analytical skills, attention to detail, and ability to communicate complex data insights to non-technical stakeholders make me an ideal fit for the Data Analyst position.
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