Darshan Popat

PROFESSIONAL SUMMARY Engineer-turned-Data Analyst with 9.5 years of software engineering experience and a deliberate transition into data analytics. Built a strong foundation in Python, SQL, and data-driven decision making through hands-on engineering work — including automated data quality pipelines, real-time geolocation data systems, and backend API development using FastAPI and Django. Experienced in writing complex SQL queries, working with PostgreSQL and Firebase datasets, and using Python (Pandas, NumPy, Matplotlib, Seaborn) to analyse and visualise outcomes. Brings a rare combination of deep technical credibility and a growing analytics toolkit, with the ability to collaborate with engineering teams, understand data infrastructure end-to-end, and communicate insights clearly to stakeholders. CORE COMPETENCIES Data Analysis & Interpretation | Python (Pandas, NumPy, Matplotlib, Seaborn) | SQL & Database Querying | Data Pipeline Design | Exploratory Data Analysis (EDA) | Data Visualization & Reporting | Statistical Analysis | API Data Integration | Agile Methodology | Stakeholder Reporting