Data analyst with strong experience in KPI reporting, automation, and data quality.
Stuttgart, Baden-Württemberg, Germany
Skilled in analyzing, interpreting and building dashboards using Excel, Google Sheets, Tableau/Power BI, Python, SQL. Strengths include aggregating data from multiple sources, spotting trends and outliers in large datasets, and producing performance summaries for decision making. Structured and detail oriented in reporting, ensuring accuracy, timely delivery, and quick detection of data issues.
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Résumé
Jobs
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Applied Data Analysis Internship
Uptrail Ltd
Aug 2025 - Sep 2025(2 months)
Led exploratory analysis on real-world datasets using Python (Pandas, NumPy, Matplotlib). Cleaned, wrangled, and detected anomalies/outliers to deliver analysis-ready data. Defined and monitored 3-5 performance KPIs, performed trend analysis and hypothesis-driven checks to evaluate changes and recommend optimization strategies. Analyzed, interpreted, and visualized datasets to create stakeholder-ready summaries and dashboards for decision support. Created structured performance reports and dashboards that linked KPI's to business outcomes, improving decision making for non-technical teams. Developed data validation and preprocessing pipelines to reduce redundancy and improved dataset accuracy by 30%.
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Werkstudent
Advantest Europe GmbH
Jan 2022 - Jul 2022(7 months)
Designed a data model for user provisioning using Python, linking employee data to branch hierarchy in the HR database, reducing onboarding time from hours to minutes. Standardized legacy values and removed duplicates to improve data integrity and consistency across systems enabling reliable reporting across teams. Automated repetitive workflows using Excel and Python to reduce manual effort, thereby improving accuracy of recurring updates. Defined metrics and documented automation steps to support compliance and cross-department alignment.
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Consultant
AstraZeneca India Private Ltd
Aug 2015 - Oct 2019(4 years 3 months)
Supported SAP/HRIS systems to restore service performance, achieving 98% SLA compliance on incident and request resolution. Investigated and resolved system issues by performing root-cause analysis, coordinating with technical teams, and ensuring resolution within 24 - 48 hours. Executed data migration and UAT for system upgrades, ensuring 100% accuracy across 5 departments. Created operational KPI reports in Excel/SQL to support operational processes and communicate outcomes to cross-regional teams. Collaborated with cross-regional teams to document procedures, standardize data governance, and ensure reporting consistency.
Education
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Google Data Analytics Professional Certificate
Nov 2025 - Current(8 months)
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Master of Science (M.Sc.)
Friedrich Alexander Universität (FAU), Erlangen-Nürnberg, Germany
Jan 2023 - Mar 2025(2 years 3 months)
Information and Communication Technology
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Bachelor of Engineering (B.E.)
Anna University, Chennai, India
Jan 2012 - May 2015(3 years 5 months)
Electronics and Instrumentation Engineering
Projects (professional or personal)
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Customer Analytics Project
Aug 2025 - Sep 2025(2 months)
Automated data cleaning in Python, built a churn prediction baseline, and communicated insights via an interactive Tableau dashboard.
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Master's Thesis: Federated Learning on Imbalanced Datasets in Manufacturing
Jul 2024 - Feb 2025(8 months)
Implemented federated learning pipelines in PyTorch and TensorFlow to handle imbalanced manufacturing data, improving classification accuracy by 60%. Designed preprocessing and augmentation workflows and benchmarked distributed vs centralized learning performance.