Sarp Esenyel

•Ran product Analytics (DAU, MAU, Stickiness, churn) and AI application projects on the Miuul A Lab side. •Built AI and automation pipelines with n8n and Docker, integrating LLM based components into operational workflows. •Provided technical support and office hours to 20+ participants in Python, SQL, Power BI and Excel, and coached them on presentation design, data visualisation and storytelling. •Ran analyses across multi domain datasets to surface behavioural patterns and anomalies.

•Collected and quality-checked a dataset of 2,400+ observations across five parameters. •Applied 2D image analysis as a feature extraction method to quantify four variables per data point. •Used ImageJ for image analysis, and Python (pandas, NumPy, seaborn) for data processing, statistics and visualisation. •Co-designed a selection bias reduction methodology replacing random sampling, which improved the statistical reliability of the analysis. •Communicated results through reports, conference presentations,

• Supported production operations in line with defined quality and process standards. • Carried out quality control inspections and documented findings systematically. • Contributed to minor process improvements to streamline workflows and reduce error rates

Engineer Intern in Soner Temel Mühendislik Aş, Ataköy - İkitelli Subway excavation project.

Field Internship in Çınarcık - Esenköy Region, Yalova NW Turkey.

Yapı Merkezi - S&K Engineering Joint Venture (YMSKJV) - Construction of the Eurasian Tunnel in Istanbul Engineer Intern in NATM - Cut&Cover tunnels technical office.

Erasmus + 2017 / 2018 Exchange Program