Neha Mathur
Data Analyst at Volvo Cars| Data Science | Data Mining | Data Engineering | Machine Learning | Python | SQL | Tableau | MS in Data Science
- Role
- Data Analyst at Volvo Car USA
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Neha Mathur
As a passionate Data Analyst at Volvo Cars, I leverage consumer data to drive strategic insights and enhance the overall customer experience. My role involves transforming complex datasets into actionable intelligence, enabling our teams to make informed decisions that align with our commitment to safety, sustainability, and innovation. I work across muti national and cross functional teams to facilitate the use of Consumer data and help guide marketing and CRM efforts. I graduated with a Master\'s degree in Data Science from Pace University in December 2022, where I completed multiple projects on topics such as customer segmentation, bank marketing, and automobile sales. I also gained experience as a Student Assistant at the Computational Intelligence Lab, where I created digital content and tutored students on data science and machine learning concepts and tools. Additionally, I interned at Annalect as a Marketing Science Intern, where I developed R scripts to prepare and analyze data for regression modelling. I have a strong background in programming, database, and software development, with more than 6 years of experience as a Technical Lead at Tata Consultancy Services. I worked with a team of 6 to develop and maintain a major claims processing system for an insurance-based client in Finland, using technologies such as Cobol, CA-Gen, and DB2. I am passionate about learning new skills and technologies, and I am always eager to take on new challenges and opportunities in the field of data science. I am looking for a full-time role where I can leverage my technical and analytical skills, collaborate with other data professionals, and contribute to the growth and success of the organization.
Experience
Data Analyst
Mar 2024 — Present · Mahwah, NJ, US
Work as a technical analyst to gather requirements from business stakeholders and develop data views to support marketing efforts- Support the data flow processes (ETL) to create curated datasets for Customer data for report generation and analysis- Work closely with cross-functional teams to deepen the understanding and utilization of consumer data while enhancing data quality- Design and maintain SQL stored procedures to generate reports across various datasets, including sales, service repairs, and leads, to support multiple business areas.
Education
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering - BE, Computer Science
Pace University - Seidenberg School of Computer Science and Information Systems
Master's degree, Data Science
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