Ayesha Siddiqha

Senior Data Analyst and Analytics Business partner delivering decision-oriented analytics for business and operational stakeholders. Focus areas include KPI reporting, data quality improvement, SQL-based analysis, reporting automation, and stakeholder-ready dashboards. Own analytics end-to-end—from data extraction and validation to insight delivery—using SQL, Python, and Power BI.

Senior Data Analyst owning KPI reporting, data quality, and decision analytics for automotive systems (Mercedes-Benz Group). Built SQL-based analytics & validation pipelines for high-volume datasets, ensuring stable and trusted KPIs. Led root-cause analysis to eliminate false positives (up to 100%) and support rollout decisions. Developed Python & SQL-based automation and internal analytics tooling, reducing manual effort by up to 75%, and partnered with engineering, product, and management stakeholders.

Worked on data-driven image analytics for building identification as part of an R&D internship. Developed feature extraction and classification pipelines using Python and MATLAB, improving detection accuracy through structured data preprocessing and validation. Gained early experience in analytical problem-solving, research workflows, and translating technical results into documented findings.

Focused on data analysis, algorithms, and applied computing. Completed a research-oriented final project involving data processing and analytical problem-solving.