Ninad Gadre Email & Phone Number

Portland, OR, US

Portland, OR, US

• Playing a critical role in developing a vision for public charging and fueling future for Daimler Truck North America zero-emission vehicles (ZEV)
• Generating insights from existing data sources and building upon them to create business opportunities for the joint venture, Greenlane.
• Identifying site locations and recommending target customers to the sales teams at DTNA and Greenlane.
• Defining the strategy of the optimization algorithms and working with internal and external teams to implement new solutions and improve the customer experience.
• Building high-value data products to benefit our customers, DTNA, and Greenlane.
• Coordinating with vehicle engineering managers, technical advisors, and internal teams to ensure Daimler Truck vehicle roadmap alignment with the customer applications and the Joint Venture.

Portland, OR, US

• Analyzed large amounts of data to discover trends and patterns and translate them into proposed business initiatives or enhancements.
• Applied data engineering tools and techniques to extract data from various sources, load them on the cloud platform, and transform them for further analytics and machine learning initiatives.
• Utilized data mining and machine learning knowledge to develop statistical models and analyze model outputs to improve the operational efficiency of business processes.
• Designed and developed predictive models using Python or Spark programming for various DTNA market indicators and analyzed the impact of external factors on long-term business outcomes.

Portland, OR, US

- Applied knowledge of data analytics to identify, prioritize, and analyze data that supports ad-hocreporting and use case feasibility requests.- Created and organized robust dashboards for stakeholders and business executives to make informed data-driven decisions.- Utilized expertise in Big Data systems and cloud computing to support company requirements.

Burlington, MA, US

• Gathered data from various sources and conducted exploratory data analysis in custom SQL to support KPIs of client dashboards to help them provide deeper insights on the data
• Incorporated ETL to integrate and clean data to create dimensions, measures and reports using in-house workbench to implement business rules
• Updated lookup tables and send over the integration files to our clients for uninterrupted business flow
• Initiated predictive analytics to detect trends, forecast events and future outcomes using Python
• Improved the quality of BI solutions by identifying design defects and creating proof of concept
• Reformulated complex measures into simple terms to communicate key insights to stakeholders

Paris, France, FR

• Reviewed data and classified tables by using multiple queries, views and procedures using PL/SQL
• Performed complex data manipulation and data validation to identify business problems using VisionPLUS
• Optimized and redeveloped SQL queries to increase efficiency and identify system performance issues
• Used data to inform and influence the directions of team roadmaps and communicate business decisions
• Developed and redesigned dashboards and reports to reduce credit risk issues using Tableau
• Maintained batch processing jobs and resolve data discrepancy issues

Master Of Science (Ms), Information Systems

Bachelor Of Engineering - Be, Electronics And Telecommunication