Shreeya Nemade
Bremen
Summary
+4 years of experience in data analysis, project management, and quality management with Mercedes-Benz AG and ŠKODA AUTO Volkswagen. Master’s graduate in Production Engineering from TU Berlin. Expertise in data-driven decision-making, process optimization, and digital transformation.
Overview
6
6
years of professional experience
Work History
Lean Intern and Master Thesis
Mercedes-Benz AG
03.2024 - Current
- Master Thesis: Developed a real-time production KPI dashboard using Databricks (SQL) and Power BI, improving transparency by 41% and data-driven decision-making by 60%.
- Led a data pipeline optimization project, integrating automated preprocessing logic, resulting in a 40% improvement in data cleaning efficiency.
- Conducted comprehensive statistical data analysis (Power BI and Excel) to identify trends and anomalies, resulting in a 17% reduction in defect rates.
- Implemented digital cataloguing solutions, increasing data accessibility across departments by 30%.
University Research Assistant
Technische University Berlin
06.2023 - 02.2024
- Conducted predictive analytics and statistical modeling on Open Source Hardware adoption, producing actionable insights for academic publications.
- Developed and authored more than 25 comprehensive data reports, translating technical findings into strategic recommendations for process improvement.
- Developed innovative research methodologies for improved data collection and analysis in various projects.
Project Engineer - Quality Department
Skoda Auto Volkswagen Private Limited
11.2020 - 07.2022
- Specialized in project planning, management and execution in Quality Management - Projects.
- Managed 7 new car model launches and 4 Model Year Projects, utilizing data dashboards to align timelines and KPIs with global stakeholders (Wolfsburg, Germany & Czech Republic).
- Negotiated 25 timeline agreements, aligning deliverables with Project Execution Plan (PEP) and improving project coordination. Created Key Performance Indicator (KPI) tracking systems, reducing project launch issues by 30% and enhancing Quality Assurance (QA) processes.
- Conducted data consolidation across projects, identifying synergies that reduced evaluation costs by 25%. Conducted Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA) to identify potential quality issues, improving process reliability.
- Collaborated with cross-functional teams for process optimization, reducing evaluation costs by 25% through project data consolidation.
Production Systems and Industrial Engineer
Skoda Auto Volkswagen Private Limited
09.2019 - 11.2020
- Performed lean manufacturing audits, conducting over 245+ process evaluations to eliminate inefficiencies, reducing non-value-added activities by 12%.
- Applied MTM (Methods-Time Measurement) and lean analytics to optimize production workflows, resulting in 21% increase in productivity.
- Led 3P (Production Preparation Process) data-driven workshops, enhancing cross-departmental innovation and boosting production output by 27%.
Education
Master of Science - Production Engineering
Technische University Berlin
05.2025
Bachelor of Engineering - Mechanical Engineering
Pimpri Chinchwad College of Engineering
05.2019
Skills
Organizational Skills: Data Analysis Project Management Data-Driven Decision Making Dashboard Automation Process Optimization Market Research Quality Assurance Lean Management
Technical Skills: Power BI Databricks SQL Tableau Python Minitab KNIME Six Sigma (Green Belt) MTM I MTM UAS Computational Fluid Dynamics (CFD) 8D SPC PDCA RCA FMEA
Timeline
Lean Intern and Master Thesis
Mercedes-Benz AG
03.2024 - Current
University Research Assistant
Technische University Berlin
06.2023 - 02.2024
Project Engineer - Quality Department
Skoda Auto Volkswagen Private Limited
11.2020 - 07.2022
Production Systems and Industrial Engineer
Skoda Auto Volkswagen Private Limited
09.2019 - 11.2020
Master of Science - Production Engineering
Technische University Berlin
Bachelor of Engineering - Mechanical Engineering
Pimpri Chinchwad College of Engineering
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