•As the sole Business Data Analyst at Zenodro Homes, a leading construction and real estate company, I am responsible for data collection, integration, analysis and visualization.•Dashboard Creation & Management: Design and develop interactive dashboards using Tableau/PowerBI to deliver actionable insights and facilitate data-driven decision-making across the organization.•SQL Query Development: Utilize SQL,PL/SQL to extract, manipulate, and analyze complex data sets, ensuring accuracy and relevance in reporting.•Data Extraction & Reporting: Leverage ERP tools like ECI Marksystems, GoCanvas, Asana to pull data and build detailed reports, enhancing data visibility and supporting strategic initiatives.•Financial & Cost Reporting: Create and maintain comprehensive financial dashboards, including GL, AP, ,AR, Variance Reports, Scheduling Reports, Elevation Budget Reports, Cost of Goods Reports etc to support the accounting team and overall financial analysis for the company.•Create Python, R scripts for ad hoc data management and various ETL processes.•Set up data analytics and support data migrations from legacy data platforms to new cloud-based platforms.•Market Forecasting & Trend Analysis: Collaborate with the sales team to generate forecasting reports and provide future market trend predictions, aiding in strategic planning and decision-making.•Leadership Support: Develop visualizations to help leadership understand key metrics and trends, driving strategic decisions and improving business performance.•Vendor Scheduling: Coordinate and schedule vendors to ensure timely and efficient project execution in alignment with company objectives.•Cross-functional Collaboration: Work with various teams, including accounting, construction, sales, marketing, warranty & operations to streamline processes and enhance data accessibility.

•Responsible for advancing data pipeline every year for North America.•Point of contact for all the data issues majorly focusing on hybrid crops (Corn and OSR-Canola)•Work on scripting big query SQL, PL/SQL to fetch data from data platforms such as Oracle, Amazon S3, GCP and Redshift.•Create Python, R scripts for ad hoc data management and various ETL processes.•Set up data analytics and support data migrations from legacy data platforms to new cloud-based platforms.•Work on Data validation and data wrangling using python and R in Domino.•Create dashboards using Data visualization tools such as PowerBi, Spotfire and Tableau - present the results across teams and leadership.•Organize and coordinate several breeding initiatives to drive digital competencies by maintaining data governance.•Cross functioning with various technical teams, business, stakeholders for developing global strategies.•Work heavily with CI/CD tools and support version control. Create client/server scripts in python.•Well versed with VBA scripting, Excel, PowerPoint for reporting the results to upper management.•Work with Agile methodologies, SharePoint, Confluence, Teams, Jira, ServiceNow and other ticketing tools to report issue.•Work on various other Bayer - internal tools to feed data, fetch information and work on all data related activities.

•Create and manage delivery of specific ADAS features. Define feature requirements and work with SW scrum teams and the vehicle integration team to deliver this functionality to the customer.•Created R, Python and SQL scripts to manage vehicle test data as a part for data cleansing activity.•Support data migrations from old legacy platform to new cloud-based platforms.•Worked on various computing services including AWS, GCP API Gateways using domino.•Worked on generating PowerBI, Spotfire and Tableau reports to present the data cross the organization.•Use Mentor, MATLAB/Simulink, Enterprise Architect, and Polarion to describe system architecture and requirements. •Majorly supported in the development of Blind spot system and cross-traffic alert features.•Establish end to end requirements traceability for the assigned features and use cases.•Work with CARMAKER modelers to define scenarios, including vehicle level perception requirements, operating environment, and vehicle dynamics limits.•Conducted bench and vehicle performance data testing as needed as per ISO requirements. •Analyze ISO, Customer, industry standards and integrate into the core development.•Complete DFMEA for the assigned feature and use cases.•Work with various teams to build software’s, Develop Feature Roadmaps and Roll out Plans.

•Used HDF5 (Hierarchal data format 5) to help organize large amounts of data and reduce the number of total files by a factor of a thousand using Python. •Wrapped images, videos, and log files into HDF5 datasets, setting the groundwork for running data analysis algorithms on structured data.•Built a web interface using Django tool list files in particular directories and tied it to a python back end that would display content inside HDF5 files.•Worked closely to manage a group of offshore resources which aided with developing code.Reduced dependency on MATLAB:•Converted multiple MATLAB scripts that wrote out .mat files into a python script that wrote out to .csv and to HDF5 datasets, which saved the need to access revolving MATLAB licenses to read certain files, greatly reducing the expenses related to licensing.•Used Linux based operating systems to prototype different data management applications. •Used Unix systems to run batch jobs on an HPC.•Gained sensor and feature specific knowledge on Autonomous Driving for Levels 2 through 4

•The Project deals with the 3D view of a polygonal area. The analyses of the area are carried by creating different modules and objects in it. •The Movements of the objects are also handled and creating games Using Vpython and Visual studio.•Work within a software engineering team responsible for software configuration, testing, implementation, and support.