
Meghana Sambrani
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Meghana Sambrani
- 7 Monate, Okt. 2023 - Apr. 2024Schneider Electric Deutschland
Master Thesis Student - eCommerce Data Analyst
• Designed and delivered a Tableau sales-performance dashboard; reduced KPI monitoring time by 30% and enabled weekly executive reviews. • Conducted requirements gathering and UAT with sales, marketing and product teams, ensuring adoption across Europe. • Created ETL pipelines and SQL data models to ensure data accuracy and single-source-of-truth reporting for daily sales metrics. • Presented insights and prioritized recommendations to senior management, influencing roadmap and promotional strategy.
• Built 3 interactive Tableau dashboards that cut stakeholder reporting time by 30%. • Automated ETL workflows with Alteryx, increasing data processing throughput by 50% and reducing manual reconciliation. • Implemented Python forecasting models achieving around 80% accuracy for monthly sales projections used in target setting. • Wrote and optimized complex SQL queries to accelerate ad-hoc analyses and reporting. • Synthesized market research and reporting insights that fed into pricing experiments.
- 7 Monate, Feb. 2022 - Aug. 2022
Research Assistant- Artificial Intelligence and Data Analytics
Technologie-Transfer-Zentrum
• Developed customer segmentation dashboards in Power BI to drive targeted marketing, lifted engagement by 12%. • Improved a customer support chatbot using ANN + NLP techniques (tokenization, embedding, intent classification), reducing average response latency by 30%. • Worked in Agile Scrum teams, contributing to sprint planning, backlog grooming and deliverable estimation.
- 4 Jahre und 1 Monat, Okt. 2017 - Okt. 2021Tata Motors Limited
Data Analyst - Automation and Sales Analytics
• Led a Six-Sigma project that reduced manufacturing defects by 18%. • Constructed SPC and advanced analytics to improve production yield and reduce downtime by 10%. • Produced data-driven KPIs and dashboards that improved operational efficiency by 16%. • Partnered with engineering to deploy AI-based quality checks, integrating model outputs into production workflows. • Supported sales analytics and SAP SD workflows. • Owned end-to-end planning and execution of major industry exhibitions.
• Implemented key robotic features (e.g., external axis integration, palletising), enhancing automation systems and reducing downtime by 20%. • Collaborated with cross-functional teams to implement AI-driven improvements in production quality and operational processes. • Managed version control and release processes for control software across 3 product launches.
Ausbildung von Meghana Sambrani
- 2 Jahre und 11 Monate, Okt. 2021 - Aug. 2024
Business Intelligence and Business Analytics
University of Applied Sciences Neu-Ulm
- 2 Jahre und 11 Monate, Juni 2012 - Apr. 2015
Robotics and Automation
B.V.B. College of Engineering and Technology
Sprachen
Englisch
Muttersprache
Deutsch
Gut
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