Sameeksha Bellavara Santhosh Email & Phone Number

United States

United States

Boston, Massachusetts, United States

Bengaluru, Karnataka, India

At Capgemini Engineering (Airbus Private Limited) in Bengaluru, I played a key role in advancing data analytics and engineering through the integration of the "Eclipse RCP Application" into the "WALLPAPER" project, which enhanced Python system reliability and performance. By leveraging SQL for sophisticated statistical analyses, I achieved a 30% improvement in proactive maintenance strategies and reduced unscheduled downtimes by 15%. I developed and refined predictive models using Apache Spark, which led to a 28% decrease in potential downtime risks by applying cutting-edge machine learning techniques. Additionally, I automated QA testing workflows, reducing testing duration from 3 hours to 15 minutes, utilizing tools like Tableau, SAP GUI, Dynamics, Excel, and Microsoft Word to drive efficiency and data accuracy. In addition, I worked on optimizing supply chain operations by carrying out procurement procedures using Tableau, SAP GUI, Dynamics, Excel spreadsheets, and Microsoft Word. I analyzed inventory levels for maintenance and packaging supplies, leading to a 15% reduction in excess inventory by accurately determining safety stock. My role involved enhancing efficiency in multitasking and time management while collaborating with cross-functional teams to convey insights and recommendations effectively, contributing to improved supply chain processes and overall project success.

Bengaluru, Karnataka, India

As a Junior Data Analyst at Altran Technologies India, I played a key role in the Airbus Wallpaper Enhancement project, focusing on improving system reliability for aircraft-related applications. My responsibilities included utilizing Python and R for statistical analysis and predictive modeling, SQL for data management, and Tableau for exploratory data analysis (EDA) to identify critical trends. I also used SAP for data integration and reporting to support system enhancements.

India

Spearheaded automation of processes within Power BI, resulting in a remarkable 50% reduction in order processing time, demonstrating my ability to innovate and implement machine learning techniques at scale. Leveraged Power BI with SQL for real-time analysis, contributing significantly to informed decision-making and ensuring high-quality and well-calibrated predictive models.Developed interactive Power BI dashboards tailored for management, empowering stakeholders with actionable insights. Collaborated with machine learning and engineering team members for the deployment of new machine learning techniques, ensuring seamless integration and tracking of issues and successes post-deployment. Interfaced with Stakeholders by implementing a mobile-first approach within Power BI reports, resulting in a notable 40% increase in mobile traffic. Interfaced with medical coders, administrators, radiologists, and physicians to understand the strengths and weaknesses of existing products and to help develop new machine learning-empowered products.

Master'S Degree, Analytics

Bachelor Of Engineering - Be, Information Science And Engineering

Education record