Ayesha Siddiqha

Delivering end-to-end analytics solutions using SQL, Python, and BI tools while expanding analytics engineering expertise during relocation to Germany. SaaS Revenue Analytics Pipeline | DuckDB · dbt · SQL · Python Built an analytics pipeline ingesting subscription data into DuckDB and transforming it with modular dbt models. Implemented SaaS metrics including MRR, ARR, churn, NRR, and LTV, with cohort retention and executive KPI dashboards built using Pandas and Seaborn.

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.