Peddada Darshan

DevOps & Automation | Quality Engineering | Enterprise Delivery Python + Selenium, reducing manual QA cycles by ~30% across 3 client engagements SQL and Python scripting, replacing manual Excel processes and enabling near-real-time dashboards Worked within Agile delivery teams to support release quality gates-owning defect tracking, root-cause analysis, and go/no-go deployment decisions Git version control into team workflows; maintained branching strategies and merge hygiene across multi-developer delivery

Data Pipelines | Visualization | Python | Reporting Automation Python and Tableau, translating raw operational data into business-readable KPI views Python scripting and SQL queries, reducing manual preparation time by ~40% Worked with structured datasets from enterprise systems-cleaning, transforming, and loading (ETL) data into visualization layers Collaborated with senior engineers to design narrative-driven data stories for client presentations-a skill directly transferable to DevOps observability and m

ML models in Python (scikit-learn) to solve classification and prediction tasks Performed end-to-end data analysis pipelines: data ingestion → cleaning → feature engineering → model evaluation Documented findings in structured reports — early exposure to observability mindset: measure, analyse, improve

Relevant modules: Cloud Computing, Software Architecture, Distributed Systems, DevOps Engineering, Agile Methods Active team project: developing a restaurant location web app as DevOps member - containerized deployment on AWS, CI/CD pipeline, automated QA Seeking Werkstudent (20 h/week) Cloud / Dev

Foundation in algorithms, data structures, operating systems, databases, and software engineering